* installing *source* package 'rethnicity' ...
** this is package 'rethnicity' version '0.2.7'
** using staged installation
** libs
using C++ compiler: 'g++.exe (GCC) 14.2.0'
using C++17
g++  -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG  -I'D:/RCompile/CRANpkg/lib/4.5/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppThread/include'   -I"d:/rtools45/x86_64-w64-mingw32.static.posix/include"   -I../inst/include   -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign    -c RcppExports.cpp -o RcppExports.o
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
  178 | class Matrix
      |       ^~~~~~
RcppExports.cpp:24:50:   required from here
   24 |     rcpp_result_gen = Rcpp::wrap(predict_lastname(strings, threads, model_path));
      |                                  ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
  178 | class Matrix
      |       ^~~~~~
RcppExports.cpp:24:50:   required from here
   24 |     rcpp_result_gen = Rcpp::wrap(predict_lastname(strings, threads, model_path));
      |                                  ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
g++  -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG  -I'D:/RCompile/CRANpkg/lib/4.5/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppThread/include'   -I"d:/rtools45/x86_64-w64-mingw32.static.posix/include"   -I../inst/include   -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign    -c predict_ethnicity.cpp -o predict_ethnicity.o
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigen.h:25,
                 from predict_ethnicity.cpp:3:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, -1>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, -1, -1, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Map.h:18:8:   required from 'struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16> >'
   18 | struct traits<Map<PlainObjectType, MapOptions, StrideType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16> >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/tensor.hpp:854:40:   required from here
  854 |     std::size_t width, float_type* data)
      |                                        ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, -1, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, -1, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, -1, -1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, -1, -1, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, -1, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, -1, -1, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Map.h:24:49:   required from 'struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16> >'
   24 |                              ? PlainObjectType::ColsAtCompileTime
      |                                                 ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16> >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/tensor.hpp:854:40:   required from here
  854 |     std::size_t width, float_type* data)
      |                                        ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
../inst/include/fdeep/tensor.hpp:854:40:   required from here
  854 |     std::size_t width, float_type* data)
      |                                        ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, -1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, -1, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, -1, -1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Map.h:24:49:   required from 'struct Eigen::internal::traits<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0> >'
   24 |                              ? PlainObjectType::ColsAtCompileTime
      |                                                 ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0> >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75:   required from 'class Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>'
  111 |          int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
      |                                                          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/convolution.hpp:118:19:   required from here
  118 |             filter(const_cast<float_type*>(&filter_mats.get_ref_ignore_rank(tensor_pos(0, y_filt, 0, 0, 0))),
      |                   ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
../inst/include/fdeep/convolution.hpp:118:19:   required from here
  118 |             filter(const_cast<float_type*>(&filter_mats.get_ref_ignore_rank(tensor_pos(0, y_filt, 0, 0, 0))),
      |                   ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
../inst/include/fdeep/convolution.hpp:130:22:   required from here
  130 |                 input(const_cast<float_type*>(&in.get_ref_ignore_rank(tensor_pos(0, 0, y + y_filt, 0, 0))),
      |                      ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/fdeep/convolution.hpp:140:46:   required from here
  140 |             output_map.noalias() += filter * input;
      |                                              ^~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:133:31:   required from here
  133 |     RowMajorMatrixXf X = in * W;
      |                               ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 1, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 1, -1>'
  178 | class Matrix
      |       ^~~~~~
../inst/include/fdeep/recurrent_ops.hpp:139:25:   required from here
  139 |         const Vector_Xf b = eigen_row_major_mat_from_shared_values(1, n_units * 4, const_cast<float_type*>(bias.data()));
      |                         ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:160:43:   required from here
  160 |         const RowMajorMatrixXf ifco = h * U;
      |                                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/fdeep/recurrent_ops.hpp:163:44:   required from here
  163 |         const RowMajorMatrixXf i = (X.block(k, 0, 1, n) + ifco.block(0, 0, 1, n)).unaryExpr(act_func_recurrent);
      |                                     ~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<float, -1, -1, 1>, -1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<float, -1, -1, 1>, -1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/fdeep/recurrent_ops.hpp:163:69:   required from here
  163 |         const RowMajorMatrixXf i = (X.block(k, 0, 1, n) + ifco.block(0, 0, 1, n)).unaryExpr(act_func_recurrent);
      |                                                           ~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:163:80:   required from here
  163 |         const RowMajorMatrixXf i = (X.block(k, 0, 1, n) + ifco.block(0, 0, 1, n)).unaryExpr(act_func_recurrent);
      |                                                                                ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:163:92:   required from here
  163 |         const RowMajorMatrixXf i = (X.block(k, 0, 1, n) + ifco.block(0, 0, 1, n)).unaryExpr(act_func_recurrent);
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1, 1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1, 1> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:168:20:   required from here
  168 |         c = f.array() * c.array() + i.array() * c_pre.array();
      |             ~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:168:32:   required from here
  168 |         c = f.array() * c.array() + i.array() * c_pre.array();
      |                         ~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:168:33:   required from here
  168 |         c = f.array() * c.array() + i.array() * c_pre.array();
      |                                 ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:168:61:   required from here
  168 |         c = f.array() * c.array() + i.array() * c_pre.array();
      |                                                             ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1, 1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:168:61:   required from here
  168 |         c = f.array() * c.array() + i.array() * c_pre.array();
      |                                                             ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::Matrix<float, -1, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::Matrix<float, -1, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::Matrix<float, -1, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<std::function<float(float)>, const Eigen::Matrix<float, -1, -1, 1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::Matrix<float, -1, -1, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:169:36:   required from here
  169 |         h = o.array() * c.unaryExpr(act_func).array();
      |                         ~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::Matrix<float, -1, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::Matrix<float, -1, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::Matrix<float, -1, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::Matrix<float, -1, -1, 1> > >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:169:52:   required from here
  169 |         h = o.array() * c.unaryExpr(act_func).array();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::Matrix<float, -1, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::Matrix<float, -1, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::Matrix<float, -1, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::Matrix<float, -1, -1, 1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Matrix<float, -1, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::Matrix<float, -1, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:169:53:   required from here
  169 |         h = o.array() * c.unaryExpr(act_func).array();
      |                                                     ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:285:68:   required from here
  285 |             z = (Wx.block(k, 0 * n, 1, n) + Uh.block(0, 0 * n, 1, n)).unaryExpr(act_func_recurrent);
      |                                                                    ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:285:80:   required from here
  285 |             z = (Wx.block(k, 0 * n, 1, n) + Uh.block(0, 0 * n, 1, n)).unaryExpr(act_func_recurrent);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:289:53:   required from here
  289 |             m = (Wx.block(k, 2 * n, 1, n) + (r.array() * Uh.block(0, 2 * n, 1, n).array()).matrix()).unaryExpr(act_func);
      |                                              ~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:289:88:   required from here
  289 |             m = (Wx.block(k, 2 * n, 1, n) + (r.array() * Uh.block(0, 2 * n, 1, n).array()).matrix()).unaryExpr(act_func);
      |                                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:289:89:   required from here
  289 |             m = (Wx.block(k, 2 * n, 1, n) + (r.array() * Uh.block(0, 2 * n, 1, n).array()).matrix()).unaryExpr(act_func);
      |                                                                                         ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:289:98:   required from here
  289 |             m = (Wx.block(k, 2 * n, 1, n) + (r.array() * Uh.block(0, 2 * n, 1, n).array()).matrix()).unaryExpr(act_func);
      |                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:289:99:   required from here
  289 |             m = (Wx.block(k, 2 * n, 1, n) + (r.array() * Uh.block(0, 2 * n, 1, n).array()).matrix()).unaryExpr(act_func);
      |                                                                                                   ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > > > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > > > >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > > > > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:289:111:   required from here
  289 |             m = (Wx.block(k, 2 * n, 1, n) + (r.array() * Uh.block(0, 2 * n, 1, n).array()).matrix()).unaryExpr(act_func);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/fdeep/recurrent_ops.hpp:294:56:   required from here
  294 |             z = (Wx.block(k, 0 * n, 1, n) + h * U.block(0, 0 * n, n, n) + b_h.block(0, 0 * n, 1, n)).unaryExpr(act_func_recurrent);
      |                                                 ~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:294:71:   required from here
  294 |             z = (Wx.block(k, 0 * n, 1, n) + h * U.block(0, 0 * n, n, n) + b_h.block(0, 0 * n, 1, n)).unaryExpr(act_func_recurrent);
      |                                                                       ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:294:71:   required from here
  294 |             z = (Wx.block(k, 0 * n, 1, n) + h * U.block(0, 0 * n, n, n) + b_h.block(0, 0 * n, 1, n)).unaryExpr(act_func_recurrent);
      |                                                                       ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<float, 1, -1>, -1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<float, 1, -1>, -1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/fdeep/recurrent_ops.hpp:294:84:   required from here
  294 |             z = (Wx.block(k, 0 * n, 1, n) + h * U.block(0, 0 * n, n, n) + b_h.block(0, 0 * n, 1, n)).unaryExpr(act_func_recurrent);
      |                                                                           ~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:294:99:   required from here
  294 |             z = (Wx.block(k, 0 * n, 1, n) + h * U.block(0, 0 * n, n, n) + b_h.block(0, 0 * n, 1, n)).unaryExpr(act_func_recurrent);
      |                                                                                                   ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:294:111:   required from here
  294 |             z = (Wx.block(k, 0 * n, 1, n) + h * U.block(0, 0 * n, n, n) + b_h.block(0, 0 * n, 1, n)).unaryExpr(act_func_recurrent);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:298:66:   required from here
  298 |             m = (Wx.block(k, 2 * n, 1, n) + (r.array() * h.array()).matrix() * U.block(0, 2 * n, n, n) + b_h.block(0, 2 * n, 1, n)).unaryExpr(act_func);
      |                                                                  ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:298:75:   required from here
  298 |             m = (Wx.block(k, 2 * n, 1, n) + (r.array() * h.array()).matrix() * U.block(0, 2 * n, n, n) + b_h.block(0, 2 * n, 1, n)).unaryExpr(act_func);
      |                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:298:102:   required from here
  298 |             m = (Wx.block(k, 2 * n, 1, n) + (r.array() * h.array()).matrix() * U.block(0, 2 * n, n, n) + b_h.block(0, 2 * n, 1, n)).unaryExpr(act_func);
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:298:102:   required from here
  298 |             m = (Wx.block(k, 2 * n, 1, n) + (r.array() * h.array()).matrix() * U.block(0, 2 * n, n, n) + b_h.block(0, 2 * n, 1, n)).unaryExpr(act_func);
      |                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:298:130:   required from here
  298 |             m = (Wx.block(k, 2 * n, 1, n) + (r.array() * h.array()).matrix() * U.block(0, 2 * n, n, n) + b_h.block(0, 2 * n, 1, n)).unaryExpr(act_func);
      |                                                                                                                                  ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:298:142:   required from here
  298 |             m = (Wx.block(k, 2 * n, 1, n) + (r.array() * h.array()).matrix() * U.block(0, 2 * n, n, n) + b_h.block(0, 2 * n, 1, n)).unaryExpr(act_func);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, 1, -1, 1, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, 1, -1, 1, 1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, 1, -1, 1, 1, -1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, 1, -1, 1, 1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> > > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:302:27:   required from here
  302 |         h = ((1 - z.array()) * m.array() + z.array() * h.array()).matrix();
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:302:27:   required from here
  302 |         h = ((1 - z.array()) * m.array() + z.array() * h.array()).matrix();
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<float, 1, -1, 1, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<float, 1, -1, 1, 1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<float, 1, -1, 1, 1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<float, 1, -1, 1, 1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<float, 1, -1, 1, 1, -1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<float, 1, -1, 1, 1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<float, 1, -1, 1, 1, -1>'
   45 | class Array
      |       ^~~~~
../inst/include/fdeep/recurrent_ops.hpp:302:40:   required from here
  302 |         h = ((1 - z.array()) * m.array() + z.array() * h.array()).matrix();
      |                                        ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> > >, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> > >, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> > >, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> > >, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> > >, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:302:40:   required from here
  302 |         h = ((1 - z.array()) * m.array() + z.array() * h.array()).matrix();
      |                                        ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> > >, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> > >, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> > >, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> > >, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> > >, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:302:64:   required from here
  302 |         h = ((1 - z.array()) * m.array() + z.array() * h.array()).matrix();
      |                                                                ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> > >, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> > >, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> > >, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, 1, -1, 1, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> > >, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:302:73:   required from here
  302 |         h = ((1 - z.array()) * m.array() + z.array() * h.array()).matrix();
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
  178 | class Matrix
      |       ^~~~~~
predict_ethnicity.cpp:23:103:   required from here
   23 | Eigen::MatrixXd predict_lastname(std::vector<std::string> strings, int threads, std::string model_path) {
      |                                                                                                       ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
  178 | class Matrix
      |       ^~~~~~
predict_ethnicity.cpp:23:103:   required from here
   23 | Eigen::MatrixXd predict_lastname(std::vector<std::string> strings, int threads, std::string model_path) {
      |                                                                                                       ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
  178 | class Matrix
      |       ^~~~~~
predict_ethnicity.cpp:56:21:   required from here
   56 |     Eigen::VectorXd v = Eigen::Map<Eigen::VectorXd, Eigen::Unaligned>(results[i].data(), results[i].size());
      |                     ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
predict_ethnicity.cpp:56:107:   required from here
   56 |     Eigen::VectorXd v = Eigen::Map<Eigen::VectorXd, Eigen::Unaligned>(results[i].data(), results[i].size());
      |                                                                                                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
predict_ethnicity.cpp:57:12:   required from here
   57 |     mat.row(i) = v;
      |     ~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::Matrix<float, 1, -1>, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Replicate<Eigen::Matrix<float, 1, -1>, -1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Replicate<Eigen::Matrix<float, 1, -1>, -1, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from 'class Eigen::Replicate<Eigen::Matrix<float, 1, -1>, -1, 1>'
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:594:36:   required from 'ExpressionType& Eigen::VectorwiseOp<ExpressionType, Direction>::operator+=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<float, 1, -1>; ExpressionType = Eigen::Matrix<float, -1, -1, 1>; int Direction = 1]'
  594 |       return m_matrix += extendedTo(other.derived());
      |                          ~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:141:24:   required from here
  141 |         X.rowwise() += b;
      |                        ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<float, 1, -1>; Scalar = float]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<float, 1, -1>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:223:20:   required from here
  223 |         b_x.setZero();
      |         ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Matrix<float, -1, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Matrix<float, -1, -1, 1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Matrix<float, -1, -1, 1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1, 1>, Eigen::Matrix<float, -1, -1, 1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1, 1>, Eigen::Matrix<float, -1, -1, 1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Matrix<float, -1, -1, 1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/fdeep/layers/dense_layer.hpp:65:55:   required from 'fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)> [with auto:1415 = std::vector<float, Eigen::aligned_allocator<float> >; fdeep::internal::float_vec = std::vector<float, Eigen::aligned_allocator<float> >]'
   65 |                 const auto result = bias_padded_input * params_;
      |                                     ~~~~~~~~~~~~~~~~~~^~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.2.0/include/c++/bits/stl_algo.h:4219:24:   required from '_OIter std::transform(_IIter, _IIter, _OIter, _UnaryOperation) [with _IIter = __gnu_cxx::__normal_iterator<const vector<float, Eigen::aligned_allocator<float> >*, vector<vector<float, Eigen::aligned_allocator<float> >, allocator<vector<float, Eigen::aligned_allocator<float> > > > >; _OIter = back_insert_iterator<vector<vector<float, Eigen::aligned_allocator<float> >, allocator<vector<float, Eigen::aligned_allocator<float> > > > >; _UnaryOperation = fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)>]'
 4219 |         *__result = __unary_op(*__first);
      |                     ~~~~~~~~~~^~~~~~~~~~
../inst/include/fplus/fplus.hpp:3709:23:   required from 'ContainerOut fplus::internal::transform(create_new_container_t, F, const ContainerIn&) [with ContainerOut = std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >; F = fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)>; ContainerIn = std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >; create_new_container_t = reuse_container_bool_t<bool, false>]'
 3709 |         std::transform(std::begin(xs), std::end(xs), it, f);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fplus/fplus.hpp:3737:45:   required from 'ContainerOut fplus::transform(F, ContainerIn&&) [with F = fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)>; ContainerIn = const std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >&; ContainerOut = std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >]'
 3737 |     return internal::transform<ContainerOut>(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 3738 |         reuse_t {}, f, std::forward<ContainerIn>(xs));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/layers/dense_layer.hpp:59:59:   required from here
   59 |         const auto result_value_vectors = fplus::transform(
      |                                           ~~~~~~~~~~~~~~~~^
   60 |             [this](const auto& input_part) -> float_vec
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
   61 |                         {
      |                         ~                                  
   62 |                 assertion(input_part.size() == n_in_,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
   63 |                     "Invalid input value count.");
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
   64 |                 const auto bias_padded_input = bias_pad_input(input_part);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   65 |                 const auto result = bias_padded_input * params_;
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   66 |                 assertion(result.rows() == 1, "invalid result size.");
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   67 |                 return *eigen_row_major_mat_to_values(result);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   68 |             },
      |             ~~                                             
   69 |             input_parts);
      |             ~~~~~~~~~~~~                                   
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = assign_op<double, double>]'
  883 |   ActualDstType actualDst(dst);
      |                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::Matrix<double, -1, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
predict_ethnicity.cpp:57:18:   required from here
   57 |     mat.row(i) = v;
      |                  ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:477:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = float]'
  477 |       typename Dest::ColXpr dst_vec(dst.col(0));
      |                             ^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >]'
  455 |       scaleAndAddTo(dst,lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>]'
  163 |     generic_product_impl<Lhs, Rhs>::addTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/convolution.hpp:140:46:   required from here
  140 |             output_map.noalias() += filter * input;
      |                                              ^~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >]'
  455 |       scaleAndAddTo(dst,lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>]'
  163 |     generic_product_impl<Lhs, Rhs>::addTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/convolution.hpp:140:46:   required from here
  140 |             output_map.noalias() += filter * input;
      |                                              ^~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >]'
  455 |       scaleAndAddTo(dst,lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>]'
  163 |     generic_product_impl<Lhs, Rhs>::addTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/convolution.hpp:140:46:   required from here
  140 |             output_map.noalias() += filter * input;
      |                                              ^~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:277:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >]'
  455 |       scaleAndAddTo(dst,lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>]'
  163 |     generic_product_impl<Lhs, Rhs>::addTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/convolution.hpp:140:46:   required from here
  140 |             output_map.noalias() += filter * input;
      |                                              ^~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:484:29:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = float]'
  484 |       typename Dest::RowXpr dst_vec(dst.row(0));
      |                             ^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >]'
  455 |       scaleAndAddTo(dst,lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>]'
  163 |     generic_product_impl<Lhs, Rhs>::addTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/convolution.hpp:140:46:   required from here
  140 |             output_map.noalias() += filter * input;
      |                                              ^~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >]'
  455 |       scaleAndAddTo(dst,lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>]'
  163 |     generic_product_impl<Lhs, Rhs>::addTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/convolution.hpp:140:46:   required from here
  140 |             output_map.noalias() += filter * input;
      |                                              ^~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >]'
  455 |       scaleAndAddTo(dst,lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>]'
  163 |     generic_product_impl<Lhs, Rhs>::addTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/convolution.hpp:140:46:   required from here
  140 |             output_map.noalias() += filter * input;
      |                                              ^~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >]'
  455 |       scaleAndAddTo(dst,lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>]'
  163 |     generic_product_impl<Lhs, Rhs>::addTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/convolution.hpp:140:46:   required from here
  140 |             output_map.noalias() += filter * input;
      |                                              ^~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Lhs&, const Rhs&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Func = Eigen::internal::add_assign_op<float, float>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >]'
  446 |     eval_dynamic_impl(dst,
      |     ~~~~~~~~~~~~~~~~~^~~~~
  447 |                       blas_traits<Lhs>::extract(lhs).template conjugateIf<ConjLhs>(),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |                       blas_traits<Rhs>::extract(rhs).template conjugateIf<ConjRhs>(),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  449 |                       func,
      |                       ~~~~~
  450 |                       actualAlpha,
      |                       ~~~~~~~~~~~~
  451 |                       typename conditional<HasScalarFactor,true_type,false_type>::type());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:453:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >]'
  453 |       lazyproduct::eval_dynamic(dst, lhs, rhs, internal::add_assign_op<typename Dst::Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>]'
  163 |     generic_product_impl<Lhs, Rhs>::addTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/convolution.hpp:140:46:   required from here
  140 |             output_map.noalias() += filter * input;
      |                                              ^~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >]'
  455 |       scaleAndAddTo(dst,lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>]'
  163 |     generic_product_impl<Lhs, Rhs>::addTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/convolution.hpp:140:46:   required from here
  140 |             output_map.noalias() += filter * input;
      |                                              ^~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false>, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >]'
  455 |       scaleAndAddTo(dst,lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>]'
  163 |     generic_product_impl<Lhs, Rhs>::addTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/convolution.hpp:140:46:   required from here
  140 |             output_map.noalias() += filter * input;
      |                                              ^~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > >, Eigen::internal::IndexBased, float>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<float, -1, -1, 1>; SrcXprType = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > >; Functor = Eigen::internal::assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1, 1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > >; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > >; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > >; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > >; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/recurrent_ops.hpp:163:111:   required from here
  163 |         const RowMajorMatrixXf i = (X.block(k, 0, 1, n) + ifco.block(0, 0, 1, n)).unaryExpr(act_func_recurrent);
      |                                                                                                               ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > >, Eigen::internal::IndexBased, float>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<float, -1, -1, 1>; SrcXprType = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > >; Functor = Eigen::internal::assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1, 1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > >; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > >; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > >; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, -1, false> > >; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/recurrent_ops.hpp:163:111:   required from here
  163 |         const RowMajorMatrixXf i = (X.block(k, 0, 1, n) + ifco.block(0, 0, 1, n)).unaryExpr(act_func_recurrent);
      |                                                                                                               ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::Matrix<double, -1, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
predict_ethnicity.cpp:57:18:   required from here
   57 |     mat.row(i) = v;
      |                  ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:333:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<float, float, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, float, Eigen::internal::const_blas_data_mapper<float, long long int, 0>, 0, false, float, Eigen::internal::const_blas_data_mapper<float, long long int, 1>, false, 0>'
   87 |   typedef typename Traits::LhsPacket LhsPacket;
      |                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; Dest = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, true>; typename Dest::Scalar = float]'
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, true>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; Scalar = float]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >]'
  455 |       scaleAndAddTo(dst,lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>]'
  163 |     generic_product_impl<Lhs, Rhs>::addTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/convolution.hpp:140:46:   required from here
  140 |             output_map.noalias() += filter * input;
      |                                              ^~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<float, float, 1>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, float, Eigen::internal::const_blas_data_mapper<float, long long int, 0>, 0, false, float, Eigen::internal::const_blas_data_mapper<float, long long int, 1>, false, 0>'
   91 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; Dest = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, true>; typename Dest::Scalar = float]'
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, true>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; Scalar = float]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >]'
  455 |       scaleAndAddTo(dst,lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>]'
  163 |     generic_product_impl<Lhs, Rhs>::addTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/convolution.hpp:140:46:   required from here
  140 |             output_map.noalias() += filter * input;
      |                                              ^~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<float, float, 2>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, float, Eigen::internal::const_blas_data_mapper<float, long long int, 0>, 0, false, float, Eigen::internal::const_blas_data_mapper<float, long long int, 1>, false, 0>'
   95 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; Dest = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, true>; typename Dest::Scalar = float]'
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, true>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; Scalar = float]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >]'
  455 |       scaleAndAddTo(dst,lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>]'
  163 |     generic_product_impl<Lhs, Rhs>::addTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/convolution.hpp:140:46:   required from here
  140 |             output_map.noalias() += filter * input;
      |                                              ^~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, -1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, -1, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >]'
  455 |       scaleAndAddTo(dst,lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>]'
  163 |     generic_product_impl<Lhs, Rhs>::addTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/convolution.hpp:140:46:   required from here
  140 |             output_map.noalias() += filter * input;
      |                                              ^~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >]'
  455 |       scaleAndAddTo(dst,lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>]'
  163 |     generic_product_impl<Lhs, Rhs>::addTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/convolution.hpp:140:46:   required from here
  140 |             output_map.noalias() += filter * input;
      |                                              ^~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >]'
  455 |       scaleAndAddTo(dst,lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>]'
  163 |     generic_product_impl<Lhs, Rhs>::addTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/convolution.hpp:140:46:   required from here
  140 |             output_map.noalias() += filter * input;
      |                                              ^~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >]'
  455 |       scaleAndAddTo(dst,lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>]'
  163 |     generic_product_impl<Lhs, Rhs>::addTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/convolution.hpp:140:46:   required from here
  140 |             output_map.noalias() += filter * input;
      |                                              ^~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >]'
  455 |       scaleAndAddTo(dst,lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>]'
  163 |     generic_product_impl<Lhs, Rhs>::addTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/convolution.hpp:140:46:   required from here
  140 |             output_map.noalias() += filter * input;
      |                                              ^~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >]'
  455 |       scaleAndAddTo(dst,lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>]'
  163 |     generic_product_impl<Lhs, Rhs>::addTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/convolution.hpp:140:46:   required from here
  140 |             output_map.noalias() += filter * input;
      |                                              ^~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >]'
  455 |       scaleAndAddTo(dst,lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>]'
  163 |     generic_product_impl<Lhs, Rhs>::addTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/convolution.hpp:140:46:   required from here
  140 |             output_map.noalias() += filter * input;
      |                                              ^~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1, 1>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/recurrent_ops.hpp:133:31:   required from here
  133 |     RowMajorMatrixXf X = in * W;
      |                               ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1, 1>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/recurrent_ops.hpp:133:31:   required from here
  133 |     RowMajorMatrixXf X = in * W;
      |                               ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1, 1>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/recurrent_ops.hpp:133:31:   required from here
  133 |     RowMajorMatrixXf X = in * W;
      |                               ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1, 1>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/recurrent_ops.hpp:133:31:   required from here
  133 |     RowMajorMatrixXf X = in * W;
      |                               ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1, 1>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/recurrent_ops.hpp:133:31:   required from here
  133 |     RowMajorMatrixXf X = in * W;
      |                               ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1, 1>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/recurrent_ops.hpp:133:31:   required from here
  133 |     RowMajorMatrixXf X = in * W;
      |                               ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1, 1>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/recurrent_ops.hpp:133:31:   required from here
  133 |     RowMajorMatrixXf X = in * W;
      |                               ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1, 1>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/recurrent_ops.hpp:133:31:   required from here
  133 |     RowMajorMatrixXf X = in * W;
      |                               ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1, 1>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1, 1>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1, 1>; Lhs = Eigen::Matrix<float, -1, -1, 1>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1, 1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/recurrent_ops.hpp:160:43:   required from here
  160 |         const RowMajorMatrixXf ifco = h * U;
      |                                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1, 1>; Lhs = Eigen::Matrix<float, -1, -1, 1>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1, 1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/recurrent_ops.hpp:160:43:   required from here
  160 |         const RowMajorMatrixXf ifco = h * U;
      |                                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1, 1>; Lhs = Eigen::Matrix<float, -1, -1, 1>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1, 1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/recurrent_ops.hpp:160:43:   required from here
  160 |         const RowMajorMatrixXf ifco = h * U;
      |                                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1, 1>; Lhs = Eigen::Matrix<float, -1, -1, 1>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1, 1>; Lhs = Eigen::Matrix<float, -1, -1, 1>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1, 1>; Lhs = Eigen::Matrix<float, -1, -1, 1>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1, 1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/recurrent_ops.hpp:160:43:   required from here
  160 |         const RowMajorMatrixXf ifco = h * U;
      |                                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >, Eigen::internal::IndexBased, float>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Derived = Eigen::Matrix<float, 1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; _Scalar = float; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:294:130:   required from here
  294 |             z = (Wx.block(k, 0 * n, 1, n) + h * U.block(0, 0 * n, n, n) + b_h.block(0, 0 * n, 1, n)).unaryExpr(act_func_recurrent);
      |                                                                                                                                  ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >]'
  455 |       scaleAndAddTo(dst,lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>]'
  163 |     generic_product_impl<Lhs, Rhs>::addTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/convolution.hpp:140:46:   required from here
  140 |             output_map.noalias() += filter * input;
      |                                              ^~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >]'
  455 |       scaleAndAddTo(dst,lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>]'
  163 |     generic_product_impl<Lhs, Rhs>::addTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/convolution.hpp:140:46:   required from here
  140 |             output_map.noalias() += filter * input;
      |                                              ^~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >]'
  455 |       scaleAndAddTo(dst,lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>]'
  163 |     generic_product_impl<Lhs, Rhs>::addTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/convolution.hpp:140:46:   required from here
  140 |             output_map.noalias() += filter * input;
      |                                              ^~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >]'
  455 |       scaleAndAddTo(dst,lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>]'
  163 |     generic_product_impl<Lhs, Rhs>::addTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/convolution.hpp:140:46:   required from here
  140 |             output_map.noalias() += filter * input;
      |                                              ^~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false> >, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false> >, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >]'
  455 |       scaleAndAddTo(dst,lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>]'
  163 |     generic_product_impl<Lhs, Rhs>::addTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/convolution.hpp:140:46:   required from here
  140 |             output_map.noalias() += filter * input;
      |                                              ^~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:330:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<float, float, false, false, 1, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:147:40:   required from 'void Eigen::internal::evaluateProductBlockingSizesHeuristic(Index&, Index&, Index&, Index) [with LhsScalar = float; RhsScalar = float; int KcFactor = 1; Index = long long int]'
  147 |     typedef typename Traits::ResScalar ResScalar;
      |                                        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:342:81:   required from 'void Eigen::internal::computeProductBlockingSizes(Index&, Index&, Index&, Index) [with LhsScalar = float; RhsScalar = float; int KcFactor = 1; Index = long long int]'
  342 |     evaluateProductBlockingSizesHeuristic<LhsScalar, RhsScalar, KcFactor, Index>(k, m, n, num_threads);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:355:66:   required from 'Eigen::internal::gemm_blocking_space<StorageOrder, _LhsScalar, _RhsScalar, MaxRows, MaxCols, MaxDepth, KcFactor, false>::gemm_blocking_space(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, bool) [with int StorageOrder = 0; _LhsScalar = float; _RhsScalar = float; int MaxRows = -1; int MaxCols = -1; int MaxDepth = -1; int KcFactor = 1; Eigen::Index = long long int]'
  355 |         computeProductBlockingSizes<LhsScalar,RhsScalar,KcFactor>(this->m_kc, this->m_mc, this->m_nc, num_threads);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:507:18:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = float]'
  507 |     BlockingType blocking(dst.rows(), dst.cols(), lhs.cols(), 1, true);
      |                  ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >]'
  455 |       scaleAndAddTo(dst,lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>]'
  163 |     generic_product_impl<Lhs, Rhs>::addTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/convolution.hpp:140:46:   required from here
  140 |             output_map.noalias() += filter * input;
      |                                              ^~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<float, float, false, false, 1, 1>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from 'struct Eigen::internal::gebp_kernel<float, float, long long int, Eigen::internal::blas_data_mapper<float, long long int, 0, 0, 1>, 8, 4, false, false>'
 1080 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107:   required from 'static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = float]'
   82 |   gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
      |                                                                                                           ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14:   required from 'void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = float; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product<long long int, float, 0, false, float, 0, false, 0, 1>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Dest = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; BlockingType = Eigen::internal::gemm_blocking_space<0, float, float, -1, -1, -1, 1, false>]'
  230 |     Gemm::run(rows, cols, m_lhs.cols(),
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |               m_actualAlpha, m_blocking, info);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7:   required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<float, long long int, general_matrix_matrix_product<long long int, float, 0, false, float, 0, false, 0, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, gemm_blocking_space<0, float, float, -1, -1, -1, 1, false> >; Index = long long int]'
  114 |   func(0,rows, 0,cols);
      |   ~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = float]'
  508 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >]'
  455 |       scaleAndAddTo(dst,lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>]'
  163 |     generic_product_impl<Lhs, Rhs>::addTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/convolution.hpp:140:46:   required from here
  140 |             output_map.noalias() += filter * input;
      |                                              ^~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<float, float, false, false, 1, 2>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from 'struct Eigen::internal::gebp_kernel<float, float, long long int, Eigen::internal::blas_data_mapper<float, long long int, 0, 0, 1>, 8, 4, false, false>'
 1085 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107:   required from 'static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = float]'
   82 |   gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
      |                                                                                                           ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14:   required from 'void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = float; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product<long long int, float, 0, false, float, 0, false, 0, 1>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Dest = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; BlockingType = Eigen::internal::gemm_blocking_space<0, float, float, -1, -1, -1, 1, false>]'
  230 |     Gemm::run(rows, cols, m_lhs.cols(),
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |               m_actualAlpha, m_blocking, info);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7:   required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<float, long long int, general_matrix_matrix_product<long long int, float, 0, false, float, 0, false, 0, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, gemm_blocking_space<0, float, float, -1, -1, -1, 1, false> >; Index = long long int]'
  114 |   func(0,rows, 0,cols);
      |   ~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = float]'
  508 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >]'
  455 |       scaleAndAddTo(dst,lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>]'
  163 |     generic_product_impl<Lhs, Rhs>::addTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/convolution.hpp:140:46:   required from here
  140 |             output_map.noalias() += filter * input;
      |                                              ^~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1, 1>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/recurrent_ops.hpp:133:31:   required from here
  133 |     RowMajorMatrixXf X = in * W;
      |                               ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<float, -1, -1, 1>; Scalar = float]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1, 1>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/recurrent_ops.hpp:133:31:   required from here
  133 |     RowMajorMatrixXf X = in * W;
      |                               ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1, 1>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/recurrent_ops.hpp:133:31:   required from here
  133 |     RowMajorMatrixXf X = in * W;
      |                               ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true>, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true>, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true>, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1, 1>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/recurrent_ops.hpp:133:31:   required from here
  133 |     RowMajorMatrixXf X = in * W;
      |                               ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1, 1>; Lhs = Eigen::Matrix<float, -1, -1, 1>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1, 1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/recurrent_ops.hpp:160:43:   required from here
  160 |         const RowMajorMatrixXf ifco = h * U;
      |                                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1, 1>; Lhs = Eigen::Matrix<float, -1, -1, 1>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1, 1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/recurrent_ops.hpp:160:43:   required from here
  160 |         const RowMajorMatrixXf ifco = h * U;
      |                                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> >; Scalar = float]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> >]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:278:57:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >]'
  455 |       scaleAndAddTo(dst,lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>]'
  163 |     generic_product_impl<Lhs, Rhs>::addTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/convolution.hpp:140:46:   required from here
  140 |             output_map.noalias() += filter * input;
      |                                              ^~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = float; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<float, long long int, 0>; int Pack1 = 8; int Pack2 = 4; Packet = __vector(4) float; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17:   required from 'static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = float]'
  184 |         pack_lhs(blockA, lhs.getSubMapper(i2,k2), actual_kc, actual_mc);
      |         ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14:   required from 'void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = float; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product<long long int, float, 0, false, float, 0, false, 0, 1>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Dest = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; BlockingType = Eigen::internal::gemm_blocking_space<0, float, float, -1, -1, -1, 1, false>]'
  230 |     Gemm::run(rows, cols, m_lhs.cols(),
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |               m_actualAlpha, m_blocking, info);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7:   required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<float, long long int, general_matrix_matrix_product<long long int, float, 0, false, float, 0, false, 0, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, gemm_blocking_space<0, float, float, -1, -1, -1, 1, false> >; Index = long long int]'
  114 |   func(0,rows, 0,cols);
      |   ~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = float]'
  508 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >]'
  455 |       scaleAndAddTo(dst,lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>]'
  163 |     generic_product_impl<Lhs, Rhs>::addTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/convolution.hpp:140:46:   required from here
  140 |             output_map.noalias() += filter * input;
      |                                              ^~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = float; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<float, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:195:21:   required from 'static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = float]'
  195 |             pack_rhs(blockB, rhs.getSubMapper(k2,j2), actual_kc, actual_nc);
      |             ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14:   required from 'void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = float; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product<long long int, float, 0, false, float, 0, false, 0, 1>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Dest = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; BlockingType = Eigen::internal::gemm_blocking_space<0, float, float, -1, -1, -1, 1, false>]'
  230 |     Gemm::run(rows, cols, m_lhs.cols(),
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |               m_actualAlpha, m_blocking, info);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7:   required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<float, long long int, general_matrix_matrix_product<long long int, float, 0, false, float, 0, false, 0, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, gemm_blocking_space<0, float, float, -1, -1, -1, 1, false> >; Index = long long int]'
  114 |   func(0,rows, 0,cols);
      |   ~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = float]'
  508 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >]'
  455 |       scaleAndAddTo(dst,lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>]'
  163 |     generic_product_impl<Lhs, Rhs>::addTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/convolution.hpp:140:46:   required from here
  140 |             output_map.noalias() += filter * input;
      |                                              ^~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = float; RhsScalar = float; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<float, long long int, 0, 0, 1>; int mr = 8; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = float]':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:198:15:   required from 'static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = float]'
  198 |           gebp(res.getSubMapper(i2, j2), blockA, blockB, actual_mc, actual_kc, actual_nc, alpha);
      |           ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14:   required from 'void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = float; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product<long long int, float, 0, false, float, 0, false, 0, 1>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Dest = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; BlockingType = Eigen::internal::gemm_blocking_space<0, float, float, -1, -1, -1, 1, false>]'
  230 |     Gemm::run(rows, cols, m_lhs.cols(),
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |               m_actualAlpha, m_blocking, info);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7:   required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<float, long long int, general_matrix_matrix_product<long long int, float, 0, false, float, 0, false, 0, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, gemm_blocking_space<0, float, float, -1, -1, -1, 1, false> >; Index = long long int]'
  114 |   func(0,rows, 0,cols);
      |   ~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = float]'
  508 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >]'
  455 |       scaleAndAddTo(dst,lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>]'
  163 |     generic_product_impl<Lhs, Rhs>::addTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/convolution.hpp:140:46:   required from here
  140 |             output_map.noalias() += filter * input;
      |                                              ^~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, 1, false>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, 1, false>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, 1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, 1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, 1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1, 1>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/recurrent_ops.hpp:133:31:   required from here
  133 |     RowMajorMatrixXf X = in * W;
      |                               ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1, 1>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/recurrent_ops.hpp:133:31:   required from here
  133 |     RowMajorMatrixXf X = in * W;
      |                               ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1, 1>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/recurrent_ops.hpp:133:31:   required from here
  133 |     RowMajorMatrixXf X = in * W;
      |                               ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1, 1>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/recurrent_ops.hpp:133:31:   required from here
  133 |     RowMajorMatrixXf X = in * W;
      |                               ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1, 1>; Lhs = Eigen::Matrix<float, -1, -1, 1>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1, 1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/recurrent_ops.hpp:160:43:   required from here
  160 |         const RowMajorMatrixXf ifco = h * U;
      |                                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >]'
  455 |       scaleAndAddTo(dst,lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>]'
  163 |     generic_product_impl<Lhs, Rhs>::addTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/convolution.hpp:140:46:   required from here
  140 |             output_map.noalias() += filter * input;
      |                                              ^~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = float]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >]'
  455 |       scaleAndAddTo(dst,lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>]'
  163 |     generic_product_impl<Lhs, Rhs>::addTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/convolution.hpp:140:46:   required from here
  140 |             output_map.noalias() += filter * input;
      |                                              ^~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1, 1>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/recurrent_ops.hpp:133:31:   required from here
  133 |     RowMajorMatrixXf X = in * W;
      |                               ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true>, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1, 1>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/recurrent_ops.hpp:133:31:   required from here
  133 |     RowMajorMatrixXf X = in * W;
      |                               ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1, 1>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/recurrent_ops.hpp:133:31:   required from here
  133 |     RowMajorMatrixXf X = in * W;
      |                               ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1, 1>; Lhs = Eigen::Matrix<float, -1, -1, 1>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1, 1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/recurrent_ops.hpp:160:43:   required from here
  160 |         const RowMajorMatrixXf ifco = h * U;
      |                                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1, 1>; Lhs = Eigen::Matrix<float, -1, -1, 1>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1, 1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/recurrent_ops.hpp:160:43:   required from here
  160 |         const RowMajorMatrixXf ifco = h * U;
      |                                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1, 1>; Lhs = Eigen::Matrix<float, -1, -1, 1>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1, 1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/recurrent_ops.hpp:160:43:   required from here
  160 |         const RowMajorMatrixXf ifco = h * U;
      |                                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; CoeffReturnType = float; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic(Dst&, const Lhs&, const Rhs&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Func = Eigen::internal::add_assign_op<float, float>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >]'
  446 |     eval_dynamic_impl(dst,
      |     ~~~~~~~~~~~~~~~~~^~~~~
  447 |                       blas_traits<Lhs>::extract(lhs).template conjugateIf<ConjLhs>(),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |                       blas_traits<Rhs>::extract(rhs).template conjugateIf<ConjRhs>(),
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  449 |                       func,
      |                       ~~~~~
  450 |                       actualAlpha,
      |                       ~~~~~~~~~~~~
  451 |                       typename conditional<HasScalarFactor,true_type,false_type>::type());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:453:32:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >]'
  453 |       lazyproduct::eval_dynamic(dst, lhs, rhs, internal::add_assign_op<typename Dst::Scalar,Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>]'
  163 |     generic_product_impl<Lhs, Rhs>::addTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/convolution.hpp:140:46:   required from here
  140 |             output_map.noalias() += filter * input;
      |                                              ^~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1, 1>, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1, 1>, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Matrix<float, -1, -1, 1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/layers/dense_layer.hpp:67:54:   required from 'fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)> [with auto:1415 = std::vector<float, Eigen::aligned_allocator<float> >; fdeep::internal::float_vec = std::vector<float, Eigen::aligned_allocator<float> >]'
   67 |                 return *eigen_row_major_mat_to_values(result);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.2.0/include/c++/bits/stl_algo.h:4219:24:   required from '_OIter std::transform(_IIter, _IIter, _OIter, _UnaryOperation) [with _IIter = __gnu_cxx::__normal_iterator<const vector<float, Eigen::aligned_allocator<float> >*, vector<vector<float, Eigen::aligned_allocator<float> >, allocator<vector<float, Eigen::aligned_allocator<float> > > > >; _OIter = back_insert_iterator<vector<vector<float, Eigen::aligned_allocator<float> >, allocator<vector<float, Eigen::aligned_allocator<float> > > > >; _UnaryOperation = fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)>]'
 4219 |         *__result = __unary_op(*__first);
      |                     ~~~~~~~~~~^~~~~~~~~~
../inst/include/fplus/fplus.hpp:3709:23:   required from 'ContainerOut fplus::internal::transform(create_new_container_t, F, const ContainerIn&) [with ContainerOut = std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >; F = fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)>; ContainerIn = std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >; create_new_container_t = reuse_container_bool_t<bool, false>]'
 3709 |         std::transform(std::begin(xs), std::end(xs), it, f);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fplus/fplus.hpp:3737:45:   required from 'ContainerOut fplus::transform(F, ContainerIn&&) [with F = fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)>; ContainerIn = const std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >&; ContainerOut = std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >]'
 3737 |     return internal::transform<ContainerOut>(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 3738 |         reuse_t {}, f, std::forward<ContainerIn>(xs));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/layers/dense_layer.hpp:59:59:   required from here
   59 |         const auto result_value_vectors = fplus::transform(
      |                                           ~~~~~~~~~~~~~~~~^
   60 |             [this](const auto& input_part) -> float_vec
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
   61 |                         {
      |                         ~                                  
   62 |                 assertion(input_part.size() == n_in_,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
   63 |                     "Invalid input value count.");
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
   64 |                 const auto bias_padded_input = bias_pad_input(input_part);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   65 |                 const auto result = bias_padded_input * params_;
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   66 |                 assertion(result.rows() == 1, "invalid result size.");
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   67 |                 return *eigen_row_major_mat_to_values(result);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   68 |             },
      |             ~~                                             
   69 |             input_parts);
      |             ~~~~~~~~~~~~                                   
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Matrix<float, -1, -1, 1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/layers/dense_layer.hpp:67:54:   required from 'fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)> [with auto:1415 = std::vector<float, Eigen::aligned_allocator<float> >; fdeep::internal::float_vec = std::vector<float, Eigen::aligned_allocator<float> >]'
   67 |                 return *eigen_row_major_mat_to_values(result);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.2.0/include/c++/bits/stl_algo.h:4219:24:   required from '_OIter std::transform(_IIter, _IIter, _OIter, _UnaryOperation) [with _IIter = __gnu_cxx::__normal_iterator<const vector<float, Eigen::aligned_allocator<float> >*, vector<vector<float, Eigen::aligned_allocator<float> >, allocator<vector<float, Eigen::aligned_allocator<float> > > > >; _OIter = back_insert_iterator<vector<vector<float, Eigen::aligned_allocator<float> >, allocator<vector<float, Eigen::aligned_allocator<float> > > > >; _UnaryOperation = fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)>]'
 4219 |         *__result = __unary_op(*__first);
      |                     ~~~~~~~~~~^~~~~~~~~~
../inst/include/fplus/fplus.hpp:3709:23:   required from 'ContainerOut fplus::internal::transform(create_new_container_t, F, const ContainerIn&) [with ContainerOut = std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >; F = fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)>; ContainerIn = std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >; create_new_container_t = reuse_container_bool_t<bool, false>]'
 3709 |         std::transform(std::begin(xs), std::end(xs), it, f);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fplus/fplus.hpp:3737:45:   required from 'ContainerOut fplus::transform(F, ContainerIn&&) [with F = fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)>; ContainerIn = const std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >&; ContainerOut = std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >]'
 3737 |     return internal::transform<ContainerOut>(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 3738 |         reuse_t {}, f, std::forward<ContainerIn>(xs));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/layers/dense_layer.hpp:59:59:   required from here
   59 |         const auto result_value_vectors = fplus::transform(
      |                                           ~~~~~~~~~~~~~~~~^
   60 |             [this](const auto& input_part) -> float_vec
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
   61 |                         {
      |                         ~                                  
   62 |                 assertion(input_part.size() == n_in_,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
   63 |                     "Invalid input value count.");
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
   64 |                 const auto bias_padded_input = bias_pad_input(input_part);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   65 |                 const auto result = bias_padded_input * params_;
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   66 |                 assertion(result.rows() == 1, "invalid result size.");
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   67 |                 return *eigen_row_major_mat_to_values(result);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   68 |             },
      |             ~~                                             
   69 |             input_parts);
      |             ~~~~~~~~~~~~                                   
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Matrix<float, -1, -1, 1>, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1, 1>; Lhs = Eigen::Matrix<float, -1, -1, 1>; Rhs = Eigen::Matrix<float, -1, -1, 1>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1, 1>; Lhs = Eigen::Matrix<float, -1, -1, 1>; Rhs = Eigen::Matrix<float, -1, -1, 1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Matrix<float, -1, -1, 1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/layers/dense_layer.hpp:67:54:   required from 'fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)> [with auto:1415 = std::vector<float, Eigen::aligned_allocator<float> >; fdeep::internal::float_vec = std::vector<float, Eigen::aligned_allocator<float> >]'
   67 |                 return *eigen_row_major_mat_to_values(result);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.2.0/include/c++/bits/stl_algo.h:4219:24:   required from '_OIter std::transform(_IIter, _IIter, _OIter, _UnaryOperation) [with _IIter = __gnu_cxx::__normal_iterator<const vector<float, Eigen::aligned_allocator<float> >*, vector<vector<float, Eigen::aligned_allocator<float> >, allocator<vector<float, Eigen::aligned_allocator<float> > > > >; _OIter = back_insert_iterator<vector<vector<float, Eigen::aligned_allocator<float> >, allocator<vector<float, Eigen::aligned_allocator<float> > > > >; _UnaryOperation = fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)>]'
 4219 |         *__result = __unary_op(*__first);
      |                     ~~~~~~~~~~^~~~~~~~~~
../inst/include/fplus/fplus.hpp:3709:23:   required from 'ContainerOut fplus::internal::transform(create_new_container_t, F, const ContainerIn&) [with ContainerOut = std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >; F = fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)>; ContainerIn = std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >; create_new_container_t = reuse_container_bool_t<bool, false>]'
 3709 |         std::transform(std::begin(xs), std::end(xs), it, f);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fplus/fplus.hpp:3737:45:   required from 'ContainerOut fplus::transform(F, ContainerIn&&) [with F = fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)>; ContainerIn = const std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >&; ContainerOut = std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >]'
 3737 |     return internal::transform<ContainerOut>(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 3738 |         reuse_t {}, f, std::forward<ContainerIn>(xs));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/layers/dense_layer.hpp:59:59:   required from here
   59 |         const auto result_value_vectors = fplus::transform(
      |                                           ~~~~~~~~~~~~~~~~^
   60 |             [this](const auto& input_part) -> float_vec
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
   61 |                         {
      |                         ~                                  
   62 |                 assertion(input_part.size() == n_in_,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
   63 |                     "Invalid input value count.");
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
   64 |                 const auto bias_padded_input = bias_pad_input(input_part);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   65 |                 const auto result = bias_padded_input * params_;
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   66 |                 assertion(result.rows() == 1, "invalid result size.");
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   67 |                 return *eigen_row_major_mat_to_values(result);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   68 |             },
      |             ~~                                             
   69 |             input_parts);
      |             ~~~~~~~~~~~~                                   
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, Eigen::Matrix<float, -1, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, Eigen::Matrix<float, -1, -1, 1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, Eigen::Matrix<float, -1, -1, 1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, Eigen::Matrix<float, -1, -1, 1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, Eigen::Matrix<float, -1, -1, 1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, Eigen::Matrix<float, -1, -1, 1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Matrix<float, -1, -1, 1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/layers/dense_layer.hpp:67:54:   required from 'fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)> [with auto:1415 = std::vector<float, Eigen::aligned_allocator<float> >; fdeep::internal::float_vec = std::vector<float, Eigen::aligned_allocator<float> >]'
   67 |                 return *eigen_row_major_mat_to_values(result);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.2.0/include/c++/bits/stl_algo.h:4219:24:   required from '_OIter std::transform(_IIter, _IIter, _OIter, _UnaryOperation) [with _IIter = __gnu_cxx::__normal_iterator<const vector<float, Eigen::aligned_allocator<float> >*, vector<vector<float, Eigen::aligned_allocator<float> >, allocator<vector<float, Eigen::aligned_allocator<float> > > > >; _OIter = back_insert_iterator<vector<vector<float, Eigen::aligned_allocator<float> >, allocator<vector<float, Eigen::aligned_allocator<float> > > > >; _UnaryOperation = fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)>]'
 4219 |         *__result = __unary_op(*__first);
      |                     ~~~~~~~~~~^~~~~~~~~~
../inst/include/fplus/fplus.hpp:3709:23:   required from 'ContainerOut fplus::internal::transform(create_new_container_t, F, const ContainerIn&) [with ContainerOut = std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >; F = fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)>; ContainerIn = std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >; create_new_container_t = reuse_container_bool_t<bool, false>]'
 3709 |         std::transform(std::begin(xs), std::end(xs), it, f);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fplus/fplus.hpp:3737:45:   required from 'ContainerOut fplus::transform(F, ContainerIn&&) [with F = fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)>; ContainerIn = const std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >&; ContainerOut = std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >]'
 3737 |     return internal::transform<ContainerOut>(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 3738 |         reuse_t {}, f, std::forward<ContainerIn>(xs));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/layers/dense_layer.hpp:59:59:   required from here
   59 |         const auto result_value_vectors = fplus::transform(
      |                                           ~~~~~~~~~~~~~~~~^
   60 |             [this](const auto& input_part) -> float_vec
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
   61 |                         {
      |                         ~                                  
   62 |                 assertion(input_part.size() == n_in_,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
   63 |                     "Invalid input value count.");
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
   64 |                 const auto bias_padded_input = bias_pad_input(input_part);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   65 |                 const auto result = bias_padded_input * params_;
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   66 |                 assertion(result.rows() == 1, "invalid result size.");
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   67 |                 return *eigen_row_major_mat_to_values(result);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   68 |             },
      |             ~~                                             
   69 |             input_parts);
      |             ~~~~~~~~~~~~                                   
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >; Functor = add_assign_op<float, float>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >; Func = add_assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, true>]'
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >]'
  455 |       scaleAndAddTo(dst,lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>]'
  163 |     generic_product_impl<Lhs, Rhs>::addTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:51:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0>; StorageBase = Eigen::MatrixBase]'
   51 |       call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/convolution.hpp:140:46:   required from here
  140 |             output_map.noalias() += filter * input;
      |                                              ^~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1, 1>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/recurrent_ops.hpp:133:31:   required from here
  133 |     RowMajorMatrixXf X = in * W;
      |                               ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1, 1>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/recurrent_ops.hpp:133:31:   required from here
  133 |     RowMajorMatrixXf X = in * W;
      |                               ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1, 1>; Lhs = Eigen::Matrix<float, -1, -1, 1>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1, 1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/recurrent_ops.hpp:160:43:   required from here
  160 |         const RowMajorMatrixXf ifco = h * U;
      |                                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Matrix<float, -1, -1, 1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Matrix<float, -1, -1, 1>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Matrix<float, -1, -1, 1>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1, 1>, Eigen::Matrix<float, -1, -1, 1>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1, 1>, Eigen::Matrix<float, -1, -1, 1>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Matrix<float, -1, -1, 1>, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Matrix<float, -1, -1, 1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/layers/dense_layer.hpp:67:54:   required from 'fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)> [with auto:1415 = std::vector<float, Eigen::aligned_allocator<float> >; fdeep::internal::float_vec = std::vector<float, Eigen::aligned_allocator<float> >]'
   67 |                 return *eigen_row_major_mat_to_values(result);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.2.0/include/c++/bits/stl_algo.h:4219:24:   required from '_OIter std::transform(_IIter, _IIter, _OIter, _UnaryOperation) [with _IIter = __gnu_cxx::__normal_iterator<const vector<float, Eigen::aligned_allocator<float> >*, vector<vector<float, Eigen::aligned_allocator<float> >, allocator<vector<float, Eigen::aligned_allocator<float> > > > >; _OIter = back_insert_iterator<vector<vector<float, Eigen::aligned_allocator<float> >, allocator<vector<float, Eigen::aligned_allocator<float> > > > >; _UnaryOperation = fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)>]'
 4219 |         *__result = __unary_op(*__first);
      |                     ~~~~~~~~~~^~~~~~~~~~
../inst/include/fplus/fplus.hpp:3709:23:   required from 'ContainerOut fplus::internal::transform(create_new_container_t, F, const ContainerIn&) [with ContainerOut = std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >; F = fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)>; ContainerIn = std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >; create_new_container_t = reuse_container_bool_t<bool, false>]'
 3709 |         std::transform(std::begin(xs), std::end(xs), it, f);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fplus/fplus.hpp:3737:45:   required from 'ContainerOut fplus::transform(F, ContainerIn&&) [with F = fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)>; ContainerIn = const std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >&; ContainerOut = std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >]'
 3737 |     return internal::transform<ContainerOut>(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 3738 |         reuse_t {}, f, std::forward<ContainerIn>(xs));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/layers/dense_layer.hpp:59:59:   required from here
   59 |         const auto result_value_vectors = fplus::transform(
      |                                           ~~~~~~~~~~~~~~~~^
   60 |             [this](const auto& input_part) -> float_vec
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
   61 |                         {
      |                         ~                                  
   62 |                 assertion(input_part.size() == n_in_,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
   63 |                     "Invalid input value count.");
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
   64 |                 const auto bias_padded_input = bias_pad_input(input_part);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   65 |                 const auto result = bias_padded_input * params_;
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   66 |                 assertion(result.rows() == 1, "invalid result size.");
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   67 |                 return *eigen_row_major_mat_to_values(result);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   68 |             },
      |             ~~                                             
   69 |             input_parts);
      |             ~~~~~~~~~~~~                                   
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Matrix<float, -1, -1, 1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/layers/dense_layer.hpp:67:54:   required from 'fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)> [with auto:1415 = std::vector<float, Eigen::aligned_allocator<float> >; fdeep::internal::float_vec = std::vector<float, Eigen::aligned_allocator<float> >]'
   67 |                 return *eigen_row_major_mat_to_values(result);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.2.0/include/c++/bits/stl_algo.h:4219:24:   required from '_OIter std::transform(_IIter, _IIter, _OIter, _UnaryOperation) [with _IIter = __gnu_cxx::__normal_iterator<const vector<float, Eigen::aligned_allocator<float> >*, vector<vector<float, Eigen::aligned_allocator<float> >, allocator<vector<float, Eigen::aligned_allocator<float> > > > >; _OIter = back_insert_iterator<vector<vector<float, Eigen::aligned_allocator<float> >, allocator<vector<float, Eigen::aligned_allocator<float> > > > >; _UnaryOperation = fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)>]'
 4219 |         *__result = __unary_op(*__first);
      |                     ~~~~~~~~~~^~~~~~~~~~
../inst/include/fplus/fplus.hpp:3709:23:   required from 'ContainerOut fplus::internal::transform(create_new_container_t, F, const ContainerIn&) [with ContainerOut = std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >; F = fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)>; ContainerIn = std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >; create_new_container_t = reuse_container_bool_t<bool, false>]'
 3709 |         std::transform(std::begin(xs), std::end(xs), it, f);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fplus/fplus.hpp:3737:45:   required from 'ContainerOut fplus::transform(F, ContainerIn&&) [with F = fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)>; ContainerIn = const std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >&; ContainerOut = std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >]'
 3737 |     return internal::transform<ContainerOut>(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 3738 |         reuse_t {}, f, std::forward<ContainerIn>(xs));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/layers/dense_layer.hpp:59:59:   required from here
   59 |         const auto result_value_vectors = fplus::transform(
      |                                           ~~~~~~~~~~~~~~~~^
   60 |             [this](const auto& input_part) -> float_vec
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
   61 |                         {
      |                         ~                                  
   62 |                 assertion(input_part.size() == n_in_,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
   63 |                     "Invalid input value count.");
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
   64 |                 const auto bias_padded_input = bias_pad_input(input_part);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   65 |                 const auto result = bias_padded_input * params_;
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   66 |                 assertion(result.rows() == 1, "invalid result size.");
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   67 |                 return *eigen_row_major_mat_to_values(result);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   68 |             },
      |             ~~                                             
   69 |             input_parts);
      |             ~~~~~~~~~~~~                                   
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; CoeffReturnType = float; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1, 1>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/recurrent_ops.hpp:133:31:   required from here
  133 |     RowMajorMatrixXf X = in * W;
      |                               ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<float, -1, -1, 1>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<float, -1, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; CoeffReturnType = float; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1, 1>; Lhs = Eigen::Matrix<float, -1, -1, 1>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1, 1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/recurrent_ops.hpp:160:43:   required from here
  160 |         const RowMajorMatrixXf ifco = h * U;
      |                                           ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<float, -1, -1, 1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Matrix<float, -1, -1, 1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/layers/dense_layer.hpp:67:54:   required from 'fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)> [with auto:1415 = std::vector<float, Eigen::aligned_allocator<float> >; fdeep::internal::float_vec = std::vector<float, Eigen::aligned_allocator<float> >]'
   67 |                 return *eigen_row_major_mat_to_values(result);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.2.0/include/c++/bits/stl_algo.h:4219:24:   required from '_OIter std::transform(_IIter, _IIter, _OIter, _UnaryOperation) [with _IIter = __gnu_cxx::__normal_iterator<const vector<float, Eigen::aligned_allocator<float> >*, vector<vector<float, Eigen::aligned_allocator<float> >, allocator<vector<float, Eigen::aligned_allocator<float> > > > >; _OIter = back_insert_iterator<vector<vector<float, Eigen::aligned_allocator<float> >, allocator<vector<float, Eigen::aligned_allocator<float> > > > >; _UnaryOperation = fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)>]'
 4219 |         *__result = __unary_op(*__first);
      |                     ~~~~~~~~~~^~~~~~~~~~
../inst/include/fplus/fplus.hpp:3709:23:   required from 'ContainerOut fplus::internal::transform(create_new_container_t, F, const ContainerIn&) [with ContainerOut = std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >; F = fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)>; ContainerIn = std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >; create_new_container_t = reuse_container_bool_t<bool, false>]'
 3709 |         std::transform(std::begin(xs), std::end(xs), it, f);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fplus/fplus.hpp:3737:45:   required from 'ContainerOut fplus::transform(F, ContainerIn&&) [with F = fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)>; ContainerIn = const std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >&; ContainerOut = std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >]'
 3737 |     return internal::transform<ContainerOut>(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 3738 |         reuse_t {}, f, std::forward<ContainerIn>(xs));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/layers/dense_layer.hpp:59:59:   required from here
   59 |         const auto result_value_vectors = fplus::transform(
      |                                           ~~~~~~~~~~~~~~~~^
   60 |             [this](const auto& input_part) -> float_vec
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
   61 |                         {
      |                         ~                                  
   62 |                 assertion(input_part.size() == n_in_,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
   63 |                     "Invalid input value count.");
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
   64 |                 const auto bias_padded_input = bias_pad_input(input_part);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   65 |                 const auto result = bias_padded_input * params_;
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   66 |                 assertion(result.rows() == 1, "invalid result size.");
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   67 |                 return *eigen_row_major_mat_to_values(result);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   68 |             },
      |             ~~                                             
   69 |             input_parts);
      |             ~~~~~~~~~~~~                                   
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Matrix<float, -1, -1, 1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/layers/dense_layer.hpp:67:54:   required from 'fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)> [with auto:1415 = std::vector<float, Eigen::aligned_allocator<float> >; fdeep::internal::float_vec = std::vector<float, Eigen::aligned_allocator<float> >]'
   67 |                 return *eigen_row_major_mat_to_values(result);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.2.0/include/c++/bits/stl_algo.h:4219:24:   required from '_OIter std::transform(_IIter, _IIter, _OIter, _UnaryOperation) [with _IIter = __gnu_cxx::__normal_iterator<const vector<float, Eigen::aligned_allocator<float> >*, vector<vector<float, Eigen::aligned_allocator<float> >, allocator<vector<float, Eigen::aligned_allocator<float> > > > >; _OIter = back_insert_iterator<vector<vector<float, Eigen::aligned_allocator<float> >, allocator<vector<float, Eigen::aligned_allocator<float> > > > >; _UnaryOperation = fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)>]'
 4219 |         *__result = __unary_op(*__first);
      |                     ~~~~~~~~~~^~~~~~~~~~
../inst/include/fplus/fplus.hpp:3709:23:   required from 'ContainerOut fplus::internal::transform(create_new_container_t, F, const ContainerIn&) [with ContainerOut = std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >; F = fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)>; ContainerIn = std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >; create_new_container_t = reuse_container_bool_t<bool, false>]'
 3709 |         std::transform(std::begin(xs), std::end(xs), it, f);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fplus/fplus.hpp:3737:45:   required from 'ContainerOut fplus::transform(F, ContainerIn&&) [with F = fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)>; ContainerIn = const std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >&; ContainerOut = std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >]'
 3737 |     return internal::transform<ContainerOut>(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 3738 |         reuse_t {}, f, std::forward<ContainerIn>(xs));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/layers/dense_layer.hpp:59:59:   required from here
   59 |         const auto result_value_vectors = fplus::transform(
      |                                           ~~~~~~~~~~~~~~~~^
   60 |             [this](const auto& input_part) -> float_vec
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
   61 |                         {
      |                         ~                                  
   62 |                 assertion(input_part.size() == n_in_,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
   63 |                     "Invalid input value count.");
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
   64 |                 const auto bias_padded_input = bias_pad_input(input_part);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   65 |                 const auto result = bias_padded_input * params_;
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   66 |                 assertion(result.rows() == 1, "invalid result size.");
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   67 |                 return *eigen_row_major_mat_to_values(result);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   68 |             },
      |             ~~                                             
   69 |             input_parts);
      |             ~~~~~~~~~~~~                                   
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Matrix<float, -1, -1, 1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/layers/dense_layer.hpp:67:54:   required from 'fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)> [with auto:1415 = std::vector<float, Eigen::aligned_allocator<float> >; fdeep::internal::float_vec = std::vector<float, Eigen::aligned_allocator<float> >]'
   67 |                 return *eigen_row_major_mat_to_values(result);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.2.0/include/c++/bits/stl_algo.h:4219:24:   required from '_OIter std::transform(_IIter, _IIter, _OIter, _UnaryOperation) [with _IIter = __gnu_cxx::__normal_iterator<const vector<float, Eigen::aligned_allocator<float> >*, vector<vector<float, Eigen::aligned_allocator<float> >, allocator<vector<float, Eigen::aligned_allocator<float> > > > >; _OIter = back_insert_iterator<vector<vector<float, Eigen::aligned_allocator<float> >, allocator<vector<float, Eigen::aligned_allocator<float> > > > >; _UnaryOperation = fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)>]'
 4219 |         *__result = __unary_op(*__first);
      |                     ~~~~~~~~~~^~~~~~~~~~
../inst/include/fplus/fplus.hpp:3709:23:   required from 'ContainerOut fplus::internal::transform(create_new_container_t, F, const ContainerIn&) [with ContainerOut = std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >; F = fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)>; ContainerIn = std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >; create_new_container_t = reuse_container_bool_t<bool, false>]'
 3709 |         std::transform(std::begin(xs), std::end(xs), it, f);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fplus/fplus.hpp:3737:45:   required from 'ContainerOut fplus::transform(F, ContainerIn&&) [with F = fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)>; ContainerIn = const std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >&; ContainerOut = std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >]'
 3737 |     return internal::transform<ContainerOut>(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 3738 |         reuse_t {}, f, std::forward<ContainerIn>(xs));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/layers/dense_layer.hpp:59:59:   required from here
   59 |         const auto result_value_vectors = fplus::transform(
      |                                           ~~~~~~~~~~~~~~~~^
   60 |             [this](const auto& input_part) -> float_vec
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
   61 |                         {
      |                         ~                                  
   62 |                 assertion(input_part.size() == n_in_,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
   63 |                     "Invalid input value count.");
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
   64 |                 const auto bias_padded_input = bias_pad_input(input_part);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   65 |                 const auto result = bias_padded_input * params_;
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   66 |                 assertion(result.rows() == 1, "invalid result size.");
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   67 |                 return *eigen_row_major_mat_to_values(result);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   68 |             },
      |             ~~                                             
   69 |             input_parts);
      |             ~~~~~~~~~~~~                                   
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >; Functor = add_assign_op<float, float>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1, 1>; Lhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; Rhs = Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1, 1>; Src = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; Derived = Eigen::Matrix<float, -1, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/recurrent_ops.hpp:133:31:   required from here
  133 |     RowMajorMatrixXf X = in * W;
      |                               ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Matrix<float, -1, -1, 1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/layers/dense_layer.hpp:67:54:   required from 'fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)> [with auto:1415 = std::vector<float, Eigen::aligned_allocator<float> >; fdeep::internal::float_vec = std::vector<float, Eigen::aligned_allocator<float> >]'
   67 |                 return *eigen_row_major_mat_to_values(result);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.2.0/include/c++/bits/stl_algo.h:4219:24:   required from '_OIter std::transform(_IIter, _IIter, _OIter, _UnaryOperation) [with _IIter = __gnu_cxx::__normal_iterator<const vector<float, Eigen::aligned_allocator<float> >*, vector<vector<float, Eigen::aligned_allocator<float> >, allocator<vector<float, Eigen::aligned_allocator<float> > > > >; _OIter = back_insert_iterator<vector<vector<float, Eigen::aligned_allocator<float> >, allocator<vector<float, Eigen::aligned_allocator<float> > > > >; _UnaryOperation = fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)>]'
 4219 |         *__result = __unary_op(*__first);
      |                     ~~~~~~~~~~^~~~~~~~~~
../inst/include/fplus/fplus.hpp:3709:23:   required from 'ContainerOut fplus::internal::transform(create_new_container_t, F, const ContainerIn&) [with ContainerOut = std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >; F = fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)>; ContainerIn = std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >; create_new_container_t = reuse_container_bool_t<bool, false>]'
 3709 |         std::transform(std::begin(xs), std::end(xs), it, f);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fplus/fplus.hpp:3737:45:   required from 'ContainerOut fplus::transform(F, ContainerIn&&) [with F = fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)>; ContainerIn = const std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >&; ContainerOut = std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >]'
 3737 |     return internal::transform<ContainerOut>(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 3738 |         reuse_t {}, f, std::forward<ContainerIn>(xs));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/layers/dense_layer.hpp:59:59:   required from here
   59 |         const auto result_value_vectors = fplus::transform(
      |                                           ~~~~~~~~~~~~~~~~^
   60 |             [this](const auto& input_part) -> float_vec
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
   61 |                         {
      |                         ~                                  
   62 |                 assertion(input_part.size() == n_in_,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
   63 |                     "Invalid input value count.");
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
   64 |                 const auto bias_padded_input = bias_pad_input(input_part);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   65 |                 const auto result = bias_padded_input * params_;
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   66 |                 assertion(result.rows() == 1, "invalid result size.");
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   67 |                 return *eigen_row_major_mat_to_values(result);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   68 |             },
      |             ~~                                             
   69 |             input_parts);
      |             ~~~~~~~~~~~~                                   
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<float, -1, -1, 1>; Rhs = Eigen::Matrix<float, -1, -1, 1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<float, -1, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<float, -1, -1, 1>; CoeffReturnType = float; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Matrix<float, -1, -1, 1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/fdeep/layers/dense_layer.hpp:67:54:   required from 'fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)> [with auto:1415 = std::vector<float, Eigen::aligned_allocator<float> >; fdeep::internal::float_vec = std::vector<float, Eigen::aligned_allocator<float> >]'
   67 |                 return *eigen_row_major_mat_to_values(result);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.2.0/include/c++/bits/stl_algo.h:4219:24:   required from '_OIter std::transform(_IIter, _IIter, _OIter, _UnaryOperation) [with _IIter = __gnu_cxx::__normal_iterator<const vector<float, Eigen::aligned_allocator<float> >*, vector<vector<float, Eigen::aligned_allocator<float> >, allocator<vector<float, Eigen::aligned_allocator<float> > > > >; _OIter = back_insert_iterator<vector<vector<float, Eigen::aligned_allocator<float> >, allocator<vector<float, Eigen::aligned_allocator<float> > > > >; _UnaryOperation = fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)>]'
 4219 |         *__result = __unary_op(*__first);
      |                     ~~~~~~~~~~^~~~~~~~~~
../inst/include/fplus/fplus.hpp:3709:23:   required from 'ContainerOut fplus::internal::transform(create_new_container_t, F, const ContainerIn&) [with ContainerOut = std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >; F = fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)>; ContainerIn = std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >; create_new_container_t = reuse_container_bool_t<bool, false>]'
 3709 |         std::transform(std::begin(xs), std::end(xs), it, f);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fplus/fplus.hpp:3737:45:   required from 'ContainerOut fplus::transform(F, ContainerIn&&) [with F = fdeep::internal::dense_layer::apply_impl(const fdeep::internal::tensors&) const::<lambda(const auto:1415&)>; ContainerIn = const std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >&; ContainerOut = std::vector<std::vector<float, Eigen::aligned_allocator<float> >, std::allocator<std::vector<float, Eigen::aligned_allocator<float> > > >]'
 3737 |     return internal::transform<ContainerOut>(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 3738 |         reuse_t {}, f, std::forward<ContainerIn>(xs));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/fdeep/layers/dense_layer.hpp:59:59:   required from here
   59 |         const auto result_value_vectors = fplus::transform(
      |                                           ~~~~~~~~~~~~~~~~^
   60 |             [this](const auto& input_part) -> float_vec
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
   61 |                         {
      |                         ~                                  
   62 |                 assertion(input_part.size() == n_in_,
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~      
   63 |                     "Invalid input value count.");
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
   64 |                 const auto bias_padded_input = bias_pad_input(input_part);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   65 |                 const auto result = bias_padded_input * params_;
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   66 |                 assertion(result.rows() == 1, "invalid result size.");
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   67 |                 return *eigen_row_major_mat_to_values(result);
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   68 |             },
      |             ~~                                             
   69 |             input_parts);
      |             ~~~~~~~~~~~~                                   
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >; Rhs = Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>; int Options = 0; int ProductTag = 7; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>; XprType = Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0>]'
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >; Rhs = Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>; int Options = 0; XprType = Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0>]'
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:104:54:   required from 'Eigen::internal::evaluator<const T>::evaluator(const T&) [with T = Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0>]'
  104 |   explicit evaluator(const T& xpr) : evaluator<T>(xpr) {}
      |                                                      ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:800:71:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Derived = Eigen::Matrix<float, 1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; _Scalar = float; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:298:151:   required from here
  298 |             m = (Wx.block(k, 2 * n, 1, n) + (r.array() * h.array()).matrix() * U.block(0, 2 * n, n, n) + b_h.block(0, 2 * n, 1, n)).unaryExpr(act_func);
      |                                                                                                                                                       ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Derived = Eigen::Matrix<float, 1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; _Scalar = float; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:294:130:   required from here
  294 |             z = (Wx.block(k, 0 * n, 1, n) + h * U.block(0, 0 * n, n, n) + b_h.block(0, 0 * n, 1, n)).unaryExpr(act_func_recurrent);
      |                                                                                                                                  ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1, 1>, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1, 1>, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Derived = Eigen::Matrix<float, 1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; _Scalar = float; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:294:130:   required from here
  294 |             z = (Wx.block(k, 0 * n, 1, n) + h * U.block(0, 0 * n, n, n) + b_h.block(0, 0 * n, 1, n)).unaryExpr(act_func_recurrent);
      |                                                                                                                                  ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Derived = Eigen::Matrix<float, 1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; _Scalar = float; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:294:130:   required from here
  294 |             z = (Wx.block(k, 0 * n, 1, n) + h * U.block(0, 0 * n, n, n) + b_h.block(0, 0 * n, 1, n)).unaryExpr(act_func_recurrent);
      |                                                                                                                                  ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Matrix<float, -1, -1, 1>, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1, 1>; Rhs = Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>; Scalar = float]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1, 1>; Rhs = Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Derived = Eigen::Matrix<float, 1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; _Scalar = float; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:294:130:   required from here
  294 |             z = (Wx.block(k, 0 * n, 1, n) + h * U.block(0, 0 * n, n, n) + b_h.block(0, 0 * n, 1, n)).unaryExpr(act_func_recurrent);
      |                                                                                                                                  ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Derived = Eigen::Matrix<float, 1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; _Scalar = float; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:294:130:   required from here
  294 |             z = (Wx.block(k, 0 * n, 1, n) + h * U.block(0, 0 * n, n, n) + b_h.block(0, 0 * n, 1, n)).unaryExpr(act_func_recurrent);
      |                                                                                                                                  ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Derived = Eigen::Matrix<float, 1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; _Scalar = float; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:294:130:   required from here
  294 |             z = (Wx.block(k, 0 * n, 1, n) + h * U.block(0, 0 * n, n, n) + b_h.block(0, 0 * n, 1, n)).unaryExpr(act_func_recurrent);
      |                                                                                                                                  ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Derived = Eigen::Matrix<float, 1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; _Scalar = float; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:294:130:   required from here
  294 |             z = (Wx.block(k, 0 * n, 1, n) + h * U.block(0, 0 * n, n, n) + b_h.block(0, 0 * n, 1, n)).unaryExpr(act_func_recurrent);
      |                                                                                                                                  ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<float, -1, -1>; Scalar = float]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<float, -1, -1>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Derived = Eigen::Matrix<float, 1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; _Scalar = float; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:294:130:   required from here
  294 |             z = (Wx.block(k, 0 * n, 1, n) + h * U.block(0, 0 * n, n, n) + b_h.block(0, 0 * n, 1, n)).unaryExpr(act_func_recurrent);
      |                                                                                                                                  ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Derived = Eigen::Matrix<float, 1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; _Scalar = float; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:294:130:   required from here
  294 |             z = (Wx.block(k, 0 * n, 1, n) + h * U.block(0, 0 * n, n, n) + b_h.block(0, 0 * n, 1, n)).unaryExpr(act_func_recurrent);
      |                                                                                                                                  ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, 1, -1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, 1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, 1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Derived = Eigen::Matrix<float, 1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; _Scalar = float; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:298:151:   required from here
  298 |             m = (Wx.block(k, 2 * n, 1, n) + (r.array() * h.array()).matrix() * U.block(0, 2 * n, n, n) + b_h.block(0, 2 * n, 1, n)).unaryExpr(act_func);
      |                                                                                                                                                       ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Derived = Eigen::Matrix<float, 1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; _Scalar = float; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:294:130:   required from here
  294 |             z = (Wx.block(k, 0 * n, 1, n) + h * U.block(0, 0 * n, n, n) + b_h.block(0, 0 * n, 1, n)).unaryExpr(act_func_recurrent);
      |                                                                                                                                  ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Derived = Eigen::Matrix<float, 1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; _Scalar = float; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:294:130:   required from here
  294 |             z = (Wx.block(k, 0 * n, 1, n) + h * U.block(0, 0 * n, n, n) + b_h.block(0, 0 * n, 1, n)).unaryExpr(act_func_recurrent);
      |                                                                                                                                  ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Derived = Eigen::Matrix<float, 1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; _Scalar = float; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:294:130:   required from here
  294 |             z = (Wx.block(k, 0 * n, 1, n) + h * U.block(0, 0 * n, n, n) + b_h.block(0, 0 * n, 1, n)).unaryExpr(act_func_recurrent);
      |                                                                                                                                  ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<float, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<float, 1, -1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<float, 1, -1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<float, 1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<float, 1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<float, 1, -1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Derived = Eigen::Matrix<float, 1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; _Scalar = float; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:298:151:   required from here
  298 |             m = (Wx.block(k, 2 * n, 1, n) + (r.array() * h.array()).matrix() * U.block(0, 2 * n, n, n) + b_h.block(0, 2 * n, 1, n)).unaryExpr(act_func);
      |                                                                                                                                                       ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >; Rhs = Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>; Dest = Eigen::Matrix<float, 1, -1>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = float]'
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |                              ~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Derived = Eigen::Matrix<float, 1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; _Scalar = float; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:298:151:   required from here
  298 |             m = (Wx.block(k, 2 * n, 1, n) + (r.array() * h.array()).matrix() * U.block(0, 2 * n, n, n) + b_h.block(0, 2 * n, 1, n)).unaryExpr(act_func);
      |                                                                                                                                                       ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false>, -1, 1, true>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Derived = Eigen::Matrix<float, 1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; _Scalar = float; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:294:130:   required from here
  294 |             z = (Wx.block(k, 0 * n, 1, n) + h * U.block(0, 0 * n, n, n) + b_h.block(0, 0 * n, 1, n)).unaryExpr(act_func_recurrent);
      |                                                                                                                                  ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Derived = Eigen::Matrix<float, 1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; _Scalar = float; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:294:130:   required from here
  294 |             z = (Wx.block(k, 0 * n, 1, n) + h * U.block(0, 0 * n, n, n) + b_h.block(0, 0 * n, 1, n)).unaryExpr(act_func_recurrent);
      |                                                                                                                                  ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs<float, long long int, Eigen::internal::const_blas_data_mapper<float, long long int, 1>, 4, 1, false, false>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75:   required from 'static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = float]'
   81 |   gemm_pack_rhs<RhsScalar, Index, RhsMapper, Traits::nr, RhsStorageOrder> pack_rhs;
      |                                                                           ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14:   required from 'void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = float; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product<long long int, float, 1, false, float, 1, false, 0, 1>; Lhs = Eigen::Matrix<float, -1, -1, 1>; Rhs = Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>; Dest = Eigen::Matrix<float, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, float, float, -1, -1, -1, 1, false>]'
  230 |     Gemm::run(rows, cols, m_lhs.cols(),
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |               m_actualAlpha, m_blocking, info);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7:   required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<float, long long int, general_matrix_matrix_product<long long int, float, 1, false, float, 1, false, 0, 1>, Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, Eigen::Matrix<float, -1, -1>, gemm_blocking_space<0, float, float, -1, -1, -1, 1, false> >; Index = long long int]'
  114 |   func(0,rows, 0,cols);
      |   ~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1, 1>; Rhs = Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>; Scalar = float]'
  508 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1, 1>; Rhs = Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Derived = Eigen::Matrix<float, 1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; _Scalar = float; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:294:130:   required from here
  294 |             z = (Wx.block(k, 0 * n, 1, n) + h * U.block(0, 0 * n, n, n) + b_h.block(0, 0 * n, 1, n)).unaryExpr(act_func_recurrent);
      |                                                                                                                                  ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2504 |   typedef typename unpacket_traits<Packet>::half HalfPacket;
      |                                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2505 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2508 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 2509 |                  QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
      |                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Derived = Eigen::Matrix<float, 1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; _Scalar = float; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:298:151:   required from here
  298 |             m = (Wx.block(k, 2 * n, 1, n) + (r.array() * h.array()).matrix() * U.block(0, 2 * n, n, n) + b_h.block(0, 2 * n, 1, n)).unaryExpr(act_func);
      |                                                                                                                                                       ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false>; ResScalar = float]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Derived = Eigen::Matrix<float, 1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; _Scalar = float; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:298:151:   required from here
  298 |             m = (Wx.block(k, 2 * n, 1, n) + (r.array() * h.array()).matrix() * U.block(0, 2 * n, n, n) + b_h.block(0, 2 * n, 1, n)).unaryExpr(act_func);
      |                                                                                                                                                       ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = float; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<float, long long int, 1>; int Pack1 = 8; int Pack2 = 4; Packet = __vector(4) float; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17:   required from 'static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long long int; LhsScalar = float; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = float]'
  184 |         pack_lhs(blockA, lhs.getSubMapper(i2,k2), actual_kc, actual_mc);
      |         ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14:   required from 'void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = float; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product<long long int, float, 1, false, float, 1, false, 0, 1>; Lhs = Eigen::Matrix<float, -1, -1, 1>; Rhs = Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>; Dest = Eigen::Matrix<float, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, float, float, -1, -1, -1, 1, false>]'
  230 |     Gemm::run(rows, cols, m_lhs.cols(),
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |               m_actualAlpha, m_blocking, info);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7:   required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<float, long long int, general_matrix_matrix_product<long long int, float, 1, false, float, 1, false, 0, 1>, Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, Eigen::Matrix<float, -1, -1>, gemm_blocking_space<0, float, float, -1, -1, -1, 1, false> >; Index = long long int]'
  114 |   func(0,rows, 0,cols);
      |   ~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1, 1>; Rhs = Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>; Scalar = float]'
  508 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1, 1>; Rhs = Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Derived = Eigen::Matrix<float, 1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; _Scalar = float; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:294:130:   required from here
  294 |             z = (Wx.block(k, 0 * n, 1, n) + h * U.block(0, 0 * n, n, n) + b_h.block(0, 0 * n, 1, n)).unaryExpr(act_func_recurrent);
      |                                                                                                                                  ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2256 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2258 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2259 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2298 |               PacketBlock<HalfPacket> kernel_half;
      |                                       ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
 2304 |               PacketBlock<QuarterPacket> kernel_quarter;
      |                                          ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Derived = Eigen::Matrix<float, 1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; _Scalar = float; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:294:130:   required from here
  294 |             z = (Wx.block(k, 0 * n, 1, n) + h * U.block(0, 0 * n, n, n) + b_h.block(0, 0 * n, 1, n)).unaryExpr(act_func_recurrent);
      |                                                                                                                                  ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, 1, -1, true> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Derived = Eigen::Matrix<float, 1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, 1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1, 1> > > >, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; _Scalar = float; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:298:151:   required from here
  298 |             m = (Wx.block(k, 2 * n, 1, n) + (r.array() * h.array()).matrix() * U.block(0, 2 * n, n, n) + b_h.block(0, 2 * n, 1, n)).unaryExpr(act_func);
      |                                                                                                                                                       ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   required from 'const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<float, -1, -1, 1>; Rhs = Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<float, -1, -1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>; CoeffReturnType = float; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Derived = Eigen::Matrix<float, 1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; _Scalar = float; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:294:130:   required from here
  294 |             z = (Wx.block(k, 0 * n, 1, n) + h * U.block(0, 0 * n, n, n) + b_h.block(0, 0 * n, 1, n)).unaryExpr(act_func_recurrent);
      |                                                                                                                                  ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, Eigen::internal::IndexBased, float>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >; Functor = add_assign_op<float, float>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<float, float>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >; Func = add_assign_op<float, float>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, 1, -1>; Src = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; Derived = Eigen::Matrix<float, 1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<std::function<float(float)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1, 1>, -1, -1, false>, const Eigen::Product<Eigen::Matrix<float, -1, -1, 1>, Eigen::Block<const Eigen::Map<Eigen::Matrix<float, -1, -1, 1>, 16>, -1, -1, false>, 0> >, const Eigen::Block<Eigen::Matrix<float, 1, -1>, -1, -1, false> > >; _Scalar = float; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/fdeep/recurrent_ops.hpp:294:130:   required from here
  294 |             z = (Wx.block(k, 0 * n, 1, n) + h * U.block(0, 0 * n, n, n) + b_h.block(0, 0 * n, 1, n)).unaryExpr(act_func_recurrent);
      |                                                                                                                                  ^
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
g++ -shared -s -static-libgcc -o rethnicity.dll tmp.def RcppExports.o predict_ethnicity.o -Ld:/rtools45/x86_64-w64-mingw32.static.posix/lib/x64 -Ld:/rtools45/x86_64-w64-mingw32.static.posix/lib -LD:/RCompile/recent/R/bin/x64 -lR
installing to d:/RCompile/CRANincoming/R-devel/lib/00LOCK-rethnicity/00new/rethnicity/libs/x64
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
*** copying figures
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (rethnicity)