* installing *source* package 'nimble' ...
** using staged installation
R_PACKAGE_DIR: d:/RCompile/CRANincoming/R-devel/lib/00LOCK-nimble/00new/nimble
R_HOME = D:/RCompile/recent/R, R_ARCH=/x64
Creating inst/CppCode/libnimble_x64.a
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DR_NO_REMAP -I"../include"    -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c nimDerivs_atomic_dyn_ind.cpp -o nimDerivs_atomic_dyn_ind.o
In file included from ../include/Eigen/Core:205,
                 from ../include/Eigen/Dense:1,
                 from ../include/nimble/EigenTypedefs.h:24,
                 from ../include/nimble/nimbleCppAD.h:38,
                 from ../include/nimble/nimDerivs_atomic_dyn_ind.h:6,
                 from nimDerivs_atomic_dyn_ind.cpp:1:
../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;
      |                                        ^
../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;
      |                                        ^
../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 }; };
      |                                       ^
../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 }; };
      |                                        ^
../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 }; };
      |                                        ^
../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> {
      |                                           ^
../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> {
      |                                           ^
../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) {
      |                                  ^
../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 ../include/Eigen/Core:174:
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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 ../include/Eigen/Core:165:
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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 ../include/Eigen/Core:271:
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
../include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
../include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
../include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
../include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
../include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:277:16:   required from 'class Eigen::HessenbergDecomposition<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/RealSchur.h:230:41:   required from 'class Eigen::RealSchur<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/EigenSolver.h:316:27:   required from 'class Eigen::EigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:156:47:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >'
../include/nimble/EigenTypedefs.h:156:68:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >'
../include/nimble/EigenTypedefs.h:161:35:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>'
../include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1> >'
../include/nimble/EigenTypedefs.h:163:16:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >'
../include/nimble/EigenTypedefs.h:173:58:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >'
../include/nimble/EigenTypedefs.h:175:38:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
nimDerivs_atomic_dyn_ind.cpp: In member function 'virtual bool atomic_dyn_ind_set_class::for_type(const CppAD::vector<double>&, const CppAD::vector<CppAD::ad_type_enum>&, CppAD::vector<CppAD::ad_type_enum>&)':
nimDerivs_atomic_dyn_ind.cpp:149:10: warning: unused variable 'nx' [-Wunused-variable]
  149 |   size_t nx = length_x-2;
      |          ^~
nimDerivs_atomic_dyn_ind.cpp: In member function 'virtual bool atomic_dyn_ind_set_class::rev_depend(const CppAD::vector<double>&, const CppAD::vector<CppAD::ad_type_enum>&, CppAD::vector<bool>&, const CppAD::vector<bool>&)':
nimDerivs_atomic_dyn_ind.cpp:178:10: warning: unused variable 'nx' [-Wunused-variable]
  178 |   size_t nx = length_x-2;
      |          ^~
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DR_NO_REMAP -I"../include"    -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c nodeFun.cpp -o nodeFun.o
In file included from ../include/Eigen/Core:205,
                 from ../include/nimble/NimArrBase.h:33,
                 from ../include/nimble/NimArr.h:26,
                 from ../include/nimble/nodeFun.h:24,
                 from nodeFun.cpp:1:
../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;
      |                                        ^
../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;
      |                                        ^
../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 }; };
      |                                       ^
../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 }; };
      |                                        ^
../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 }; };
      |                                        ^
../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> {
      |                                           ^
../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> {
      |                                           ^
../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) {
      |                                  ^
../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 ../include/Eigen/Core:174:
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DR_NO_REMAP -I"../include"    -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c accessorClasses.cpp -o accessorClasses.o
In file included from ../include/Eigen/Core:205,
                 from ../include/nimble/NimArrBase.h:33,
                 from ../include/nimble/accessorClasses.h:31,
                 from accessorClasses.cpp:22:
../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;
      |                                        ^
../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;
      |                                        ^
../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 }; };
      |                                       ^
../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 }; };
      |                                        ^
../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 }; };
      |                                        ^
../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> {
      |                                           ^
../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> {
      |                                           ^
../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) {
      |                                  ^
../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 ../include/Eigen/Core:174:
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DR_NO_REMAP -I"../include"    -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c nimbleCppAD.cpp -o nimbleCppAD.o
In file included from ../include/Eigen/Core:205,
                 from ../include/Eigen/Dense:1,
                 from ../include/nimble/EigenTypedefs.h:24,
                 from ../include/nimble/nimbleCppAD.h:38,
                 from nimbleCppAD.cpp:1:
../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;
      |                                        ^
../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;
      |                                        ^
../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 }; };
      |                                       ^
../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 }; };
      |                                        ^
../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 }; };
      |                                        ^
../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> {
      |                                           ^
../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> {
      |                                           ^
../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) {
      |                                  ^
../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 ../include/Eigen/Core:174:
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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 ../include/Eigen/Core:165:
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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 ../include/Eigen/Core:271:
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
../include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
../include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
../include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
../include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
../include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:277:16:   required from 'class Eigen::HessenbergDecomposition<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/RealSchur.h:230:41:   required from 'class Eigen::RealSchur<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/EigenSolver.h:316:27:   required from 'class Eigen::EigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:156:47:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >'
../include/nimble/EigenTypedefs.h:156:68:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >'
../include/nimble/EigenTypedefs.h:161:35:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>'
../include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1> >'
../include/nimble/EigenTypedefs.h:163:16:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >'
../include/nimble/EigenTypedefs.h:173:58:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >'
../include/nimble/EigenTypedefs.h:175:38:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from ../include/nimble/EigenTypedefs.h:28:
In destructor 'virtual pointedToBase::~pointedToBase()',
    inlined from 'void pointedToBase::removeWatcher()' at ../include/nimble/smartPtrs.h:144:14,
    inlined from 'void pointedToBase::removeWatcher()' at ../include/nimble/smartPtrs.h:132:8,
    inlined from 'nimSmartPtr<T>::~nimSmartPtr() [with T = NIMBLE_ADCLASS]' at ../include/nimble/smartPtrs.h:116:29:
../include/nimble/smartPtrs.h:147:29: warning: 'void operator delete(void*, std::size_t)' called on pointer '*this.nimSmartPtr<NIMBLE_ADCLASS>::realPtr' with nonzero offset 56 [-Wfree-nonheap-object]
  147 |   virtual ~pointedToBase() {};
      |                             ^
In destructor 'virtual pointedToBase::~pointedToBase()',
    inlined from 'void pointedToBase::removeWatcher()' at ../include/nimble/smartPtrs.h:144:14,
    inlined from 'void pointedToBase::removeWatcher()' at ../include/nimble/smartPtrs.h:132:8,
    inlined from 'nimSmartPtr<T>::~nimSmartPtr() [with T = NIMBLE_ADCLASS]' at ../include/nimble/smartPtrs.h:116:29,
    inlined from 'nimSmartPtr<T>::~nimSmartPtr() [with T = NIMBLE_ADCLASS]' at ../include/nimble/smartPtrs.h:117:3:
../include/nimble/smartPtrs.h:147:29: warning: 'void operator delete(void*, std::size_t)' called on pointer '*this.nimSmartPtr<NIMBLE_ADCLASS>::realPtr' with nonzero offset 56 [-Wfree-nonheap-object]
  147 |   virtual ~pointedToBase() {};
      |                             ^
In destructor 'virtual pointedToBase::~pointedToBase()',
    inlined from 'void pointedToBase::removeWatcher()' at ../include/nimble/smartPtrs.h:144:14,
    inlined from 'void pointedToBase::removeWatcher()' at ../include/nimble/smartPtrs.h:132:8,
    inlined from 'void nimSmartPtr<T>::setPtrFromT(T*&) [with T = NIMBLE_ADCLASS]' at ../include/nimble/smartPtrs.h:55:39,
    inlined from 'void nimSmartPtr<T>::setPtrFromVoidPtr(void*&) [with T = NIMBLE_ADCLASS]' at ../include/nimble/smartPtrs.h:64:16:
../include/nimble/smartPtrs.h:147:29: warning: 'void operator delete(void*, std::size_t)' called on pointer '*this.nimSmartPtr<NIMBLE_ADCLASS>::realPtr' with nonzero offset 56 [-Wfree-nonheap-object]
  147 |   virtual ~pointedToBase() {};
      |                             ^
In destructor 'virtual pointedToBase::~pointedToBase()',
    inlined from 'void pointedToBase::removeWatcher()' at ../include/nimble/smartPtrs.h:144:14,
    inlined from 'void pointedToBase::removeWatcher()' at ../include/nimble/smartPtrs.h:132:8,
    inlined from 'nimSmartPtr<T>::~nimSmartPtr() [with T = NIMBLE_ADCLASS]' at ../include/nimble/smartPtrs.h:116:29,
    inlined from 'nimSmartPtr<NIMBLE_ADCLASS> nimDerivs_calculate(NodeVectorClassNew_derivs&, const NimArr<1, double>&)' at nimbleCppAD.cpp:115:1:
../include/nimble/smartPtrs.h:147:29: warning: 'void operator delete(void*, std::size_t)' called on pointer '*<return-value>.nimSmartPtr<NIMBLE_ADCLASS>::realPtr' with nonzero offset 56 [-Wfree-nonheap-object]
  147 |   virtual ~pointedToBase() {};
      |                             ^
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DR_NO_REMAP -I"../include"    -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c RcppUtils.cpp -o RcppUtils.o
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DR_NO_REMAP -I"../include"    -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c EigenTypedefs.cpp -o EigenTypedefs.o
In file included from ../include/Eigen/Core:205,
                 from ../include/Eigen/Dense:1,
                 from ../include/nimble/EigenTypedefs.h:24,
                 from EigenTypedefs.cpp:22:
../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;
      |                                        ^
../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;
      |                                        ^
../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 }; };
      |                                       ^
../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 }; };
      |                                        ^
../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 }; };
      |                                        ^
../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> {
      |                                           ^
../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> {
      |                                           ^
../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) {
      |                                  ^
../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 ../include/Eigen/Core:174:
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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 ../include/Eigen/Core:165:
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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 ../include/Eigen/Core:271:
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
../include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
../include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
../include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
../include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
../include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:277:16:   required from 'class Eigen::HessenbergDecomposition<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/RealSchur.h:230:41:   required from 'class Eigen::RealSchur<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/EigenSolver.h:316:27:   required from 'class Eigen::EigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:156:47:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >'
../include/nimble/EigenTypedefs.h:156:68:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >'
../include/nimble/EigenTypedefs.h:161:35:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>'
../include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1> >'
../include/nimble/EigenTypedefs.h:163:16:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >'
../include/nimble/EigenTypedefs.h:173:58:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >'
../include/nimble/EigenTypedefs.h:175:38:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DR_NO_REMAP -I"../include"    -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c eigenUsingClasses.cpp -o eigenUsingClasses.o
In file included from ../include/Eigen/Core:205,
                 from ../include/Eigen/Dense:1,
                 from ../include/nimble/EigenTypedefs.h:24,
                 from eigenUsingClasses.cpp:22:
../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;
      |                                        ^
../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;
      |                                        ^
../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 }; };
      |                                       ^
../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 }; };
      |                                        ^
../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 }; };
      |                                        ^
../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> {
      |                                           ^
../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> {
      |                                           ^
../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) {
      |                                  ^
../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 ../include/Eigen/Core:174:
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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 ../include/Eigen/Core:165:
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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 ../include/Eigen/Core:271:
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
../include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
../include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
../include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
../include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
../include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:277:16:   required from 'class Eigen::HessenbergDecomposition<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/RealSchur.h:230:41:   required from 'class Eigen::RealSchur<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/EigenSolver.h:316:27:   required from 'class Eigen::EigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:156:47:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >'
../include/nimble/EigenTypedefs.h:156:68:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >'
../include/nimble/EigenTypedefs.h:161:35:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>'
../include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1> >'
../include/nimble/EigenTypedefs.h:163:16:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >'
../include/nimble/EigenTypedefs.h:173:58:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >'
../include/nimble/EigenTypedefs.h:175:38:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../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>':
../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>'
../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>'
../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> > >'
../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> > >'
../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>'
../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>'
../include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >'
eigenUsingClasses.cpp:171:37:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Reverse<const Eigen::Matrix<double, -1, 1>, 2>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Reverse<const Eigen::Matrix<double, -1, 1>, 2>, 1>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Reverse<const Eigen::Matrix<double, -1, 1>, 2> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Reverse<const Eigen::Matrix<double, -1, 1>, 2> >'
../include/Eigen/src/Core/Reverse.h:63:52:   required from 'class Eigen::Reverse<const Eigen::Matrix<double, -1, 1>, 2>'
../include/nimble/EigenTypedefs.h:146:46:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from ../include/Eigen/Core:361:
../include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse<const Eigen::Matrix<double, -1, 1>, 2>':
../include/nimble/EigenTypedefs.h:146:46:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase<Eigen::Reverse<const Eigen::Matrix<double, -1, 1>, 2> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes]
   85 |     typedef internal::reverse_packet_cond<PacketScalar,ReversePacket> reverse_packet;
      |                                                                       ^~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Reverse<const Eigen::Matrix<double, -1, -1>, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Reverse<const Eigen::Matrix<double, -1, -1>, 1>, 1>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Reverse<const Eigen::Matrix<double, -1, -1>, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Reverse<const Eigen::Matrix<double, -1, -1>, 1> >'
../include/Eigen/src/Core/Reverse.h:63:52:   required from 'class Eigen::Reverse<const Eigen::Matrix<double, -1, -1>, 1>'
../include/nimble/EigenTypedefs.h:149:58:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse<const Eigen::Matrix<double, -1, -1>, 1>':
../include/nimble/EigenTypedefs.h:149:58:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase<Eigen::Reverse<const Eigen::Matrix<double, -1, -1>, 1> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes]
   85 |     typedef internal::reverse_packet_cond<PacketScalar,ReversePacket> reverse_packet;
      |                                                                       ^~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
../include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>'
../include/nimble/EigenTypedefs.h:173:23:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true, Eigen::Dense>'
../include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true>'
../include/nimble/EigenTypedefs.h:173:62:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
../include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>'
../include/Eigen/src/Eigenvalues/EigenSolver.h:357:32:   required from 'Eigen::EigenSolver<_MatrixType>::EigenvectorsType Eigen::EigenSolver<_MatrixType>::eigenvectors() const [with _MatrixType = Eigen::Matrix<double, -1, -1>; EigenvectorsType = Eigen::Matrix<std::complex<double>, -1, -1>]'
../include/nimble/EigenTypedefs.h:173:49:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/SVD/JacobiSVD.h:679:37:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/SVD/JacobiSVD.h:691:29:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/SVD/JacobiSVD.h:691:29:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, false, true>'
../include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>'
../include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>'
../include/Eigen/src/SVD/JacobiSVD.h:697:32:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/SVD/JacobiSVD.h:697:60:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>'
../include/Eigen/src/SVD/JacobiSVD.h:705:61:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
../include/Eigen/src/SVD/JacobiSVD.h:765:62:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>'
../include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>'
../include/Eigen/src/SVD/JacobiSVD.h:777:65:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/SVD/JacobiSVD.h:228:33:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
../include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from 'class Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1>'
../include/Eigen/src/SVD/JacobiSVD.h:231:121:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 2> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 2> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 2> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 2>'
../include/Eigen/src/misc/RealSvd2x2.h:25:26:   required from 'void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation<RealScalar>*, Eigen::JacobiRotation<RealScalar>*) [with MatrixType = Eigen::Matrix<double, -1, -1>; RealScalar = double; Index = long long int]'
../include/Eigen/src/SVD/JacobiSVD.h:730:42:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>'
../include/Eigen/src/Jacobi/Jacobi.h:297:10:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
../include/Eigen/src/SVD/JacobiSVD.h:733:40:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67:   required from 'Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]'
../include/Eigen/src/SVD/JacobiSVD.h:758:39:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
../include/Eigen/src/Eigenvalues/RealSchur.h:258:43:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Eigenvalues/RealSchur.h:271:34:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> > >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> > >, 1>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> > > >'
../include/Eigen/src/Core/ReturnByValue.h:50:34:   required from 'class Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:339:38:   required from 'struct Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/RealSchur.h:279:39:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/EigenSolver.h:468:34:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
../include/Eigen/src/Eigenvalues/EigenSolver.h:468:100:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/EigenSolver.h:492:76:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/EigenSolver.h:598:25:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/EigenSolver.h:615:39:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>'
../include/Eigen/src/Eigenvalues/EigenSolver.h:615:45:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true> >'
../include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = std::complex<double>]'
../include/Eigen/src/Core/Dot.h:147:18:   required from 'void Eigen::MatrixBase<Derived>::normalize() [with Derived = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:358:28:   required from 'Eigen::EigenSolver<_MatrixType>::EigenvectorsType Eigen::EigenSolver<_MatrixType>::eigenvectors() const [with _MatrixType = Eigen::Matrix<double, -1, -1>; EigenvectorsType = Eigen::Matrix<std::complex<double>, -1, -1>]'
../include/nimble/EigenTypedefs.h:173:49:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>'
../include/Eigen/src/Householder/HouseholderSequence.h:297:21:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, false, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:304:59:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, false, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:82:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Jacobi/Jacobi.h:297:10:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Matrix<double, 2, 2>; Eigen::Index = long long int]'
../include/Eigen/src/misc/RealSvd2x2.h:46:19:   required from 'void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation<RealScalar>*, Eigen::JacobiRotation<RealScalar>*) [with MatrixType = Eigen::Matrix<double, -1, -1>; RealScalar = double; Index = long long int]'
../include/Eigen/src/SVD/JacobiSVD.h:730:42:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 2>':
../include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 2, 2>, 1, 2, false, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Jacobi/Jacobi.h:297:10:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Matrix<double, 2, 2>; Eigen::Index = long long int]'
../include/Eigen/src/misc/RealSvd2x2.h:46:19:   required from 'void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation<RealScalar>*, Eigen::JacobiRotation<RealScalar>*) [with MatrixType = Eigen::Matrix<double, -1, -1>; RealScalar = double; Index = long long int]'
../include/Eigen/src/SVD/JacobiSVD.h:730:42:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
In file included from ../include/Eigen/Core:277:
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
../include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; VectorY = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; OtherScalar = double]'
../include/Eigen/src/Jacobi/Jacobi.h:299:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
../include/Eigen/src/SVD/JacobiSVD.h:733:40:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
../include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; VectorY = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; OtherScalar = double]'
../include/Eigen/src/Jacobi/Jacobi.h:315:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
../include/Eigen/src/SVD/JacobiSVD.h:734:53:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1>; Scalar = double]'
../include/Eigen/src/Core/CwiseNullaryOp.h:735:21:   required from 'Derived& Eigen::PlainObjectBase<Derived>::setOnes(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:440:22:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:145:36:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:145:36:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 3>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 1>'
../include/Eigen/src/Eigenvalues/RealSchur.h:339:18:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 3, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 3, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 3, 1> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 3, 1> >'
../include/Eigen/src/Eigenvalues/RealSchur.h:339:57:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Householder/Householder.h:169:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
../include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, 5>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../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>':
../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>'
../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>'
../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> > >'
../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> > >'
../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>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
../include/Eigen/src/Householder/Householder.h:131:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
../include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
../include/Eigen/src/Householder/Householder.h:132:29:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
../include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
../include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
../include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/CwiseNullaryOp.h:846:33:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; bool Big = false]'
../include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/CwiseNullaryOp.h:892:21:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
../include/Eigen/src/SVD/JacobiSVD.h:698:45:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >':
../include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>; VectorY = Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>; OtherScalar = double]'
../include/Eigen/src/Jacobi/Jacobi.h:299:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Matrix<double, 2, 2>; Eigen::Index = long long int]'
../include/Eigen/src/misc/RealSvd2x2.h:46:19:   required from 'void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation<RealScalar>*, Eigen::JacobiRotation<RealScalar>*) [with MatrixType = Eigen::Matrix<double, -1, -1>; RealScalar = double; Index = long long int]'
../include/Eigen/src/SVD/JacobiSVD.h:730:42:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >':
../include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
../include/Eigen/src/Core/Visitor.h:123:17:   required from 'void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
../include/Eigen/src/Core/Visitor.h:374:14:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long long int; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/DenseBase.h:501:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/SVD/JacobiSVD.h:777:88:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:145:36:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:145:36:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:145:36:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
../include/Eigen/src/Eigenvalues/RealSchur.h:370:68:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 1>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 1, 0, 1, 1>'
../include/Eigen/src/Eigenvalues/RealSchur.h:535:24:   required from 'void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]'
../include/Eigen/src/Eigenvalues/RealSchur.h:346:9:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
../include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
../include/Eigen/src/Core/Redux.h:414:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/EigenSolver.h:468:106:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
../include/Eigen/src/Core/Dot.h:50:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/EigenSolver.h:492:54:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
../include/Eigen/src/Core/Dot.h:50:56:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/EigenSolver.h:492:54:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Eigen::Index = long long int]':
../include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::scalar_max_op<double, double, 1>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >; Scalar = double]'
../include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:448:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 1; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/SVD/JacobiSVD.h:679:71:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
../include/Eigen/src/Householder/Householder.h:129:38:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
../include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
../include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
../include/Eigen/src/Householder/BlockHouseholder.h:63:90:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
../include/Eigen/src/Householder/BlockHouseholder.h:63:57:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>'
../include/Eigen/src/Householder/BlockHouseholder.h:64:57:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
../include/Eigen/src/Householder/BlockHouseholder.h:73:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >':
../include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]'
../include/Eigen/src/Jacobi/Jacobi.h:315:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = long long int]'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24:   required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long long int]'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:145:36:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:271:17:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>'
../include/Eigen/src/Householder/Householder.h:167:27:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:271:17:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:271:17:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 5>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>'
../include/Eigen/src/Householder/Householder.h:170:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:271:17:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 1>, 2, 1, false, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >'
../include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >'
../include/Eigen/src/Householder/Householder.h:93:22:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::Matrix<double, 2, 1>; Derived = Eigen::Matrix<double, 3, 1>; Scalar = double; RealScalar = double]'
../include/Eigen/src/Eigenvalues/RealSchur.h:516:22:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, 2, 1>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >'
../include/Eigen/src/Householder/Householder.h:129:38:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0, 3>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0>'
../include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >'
../include/Eigen/src/Householder/Householder.h:132:29:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Matrix<double, 2, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
../include/Eigen/src/Eigenvalues/RealSchur.h:526:62:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 4>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
../include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0, 3>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0>'
../include/Eigen/src/Householder/Householder.h:167:27:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0, 4>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0>'
../include/Eigen/src/Householder/Householder.h:170:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 1>, 1, 1, false, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
../include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
../include/Eigen/src/Householder/Householder.h:93:22:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Derived = Eigen::Matrix<double, 2, 1>; Scalar = double; RealScalar = double]'
../include/Eigen/src/Eigenvalues/RealSchur.h:536:20:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
../include/Eigen/src/Householder/Householder.h:129:38:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0, 4>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>'
../include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
../include/Eigen/src/Householder/Householder.h:132:29:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
../include/Eigen/src/Eigenvalues/RealSchur.h:541:69:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 4>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
../include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, 4>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>'
../include/Eigen/src/Householder/Householder.h:167:27:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0, 4>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>'
../include/Eigen/src/Householder/Householder.h:170:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >':
../include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>'
../include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
../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<double, -1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]'
../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<double, -1, 1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op<double, double>]'
../include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:615:21:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >':
../include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
../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<double, -1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]'
../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<double, -1, 1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op<double, double>]'
../include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:615:21:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true> >':
../include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::CwiseUnaryView<scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true>; Functor = assign_op<double, double>]'
../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::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
../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, true>; Src = Eigen::Block<Eigen::CwiseUnaryView<scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true>; Func = assign_op<double, double>]'
../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, true>; Src = Eigen::Block<Eigen::CwiseUnaryView<scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../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, true>; Src = Eigen::Block<Eigen::CwiseUnaryView<scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]'
../include/nimble/EigenTypedefs.h:173:27:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
../include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Dot.h:110:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Householder/Householder.h:93:22:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
../include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
../include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Dot.h:110:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
../include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:145:36:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:145:36:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
../include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74:   required from 'static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long long int; UType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; VType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
../include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:145:36:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
../include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60:   required from 'static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long long int; UType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; VType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
../include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:145:36:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
../include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23:   required from 'static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long long int; UType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; VType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
../include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:145:36:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >':
../include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>; VectorY = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>; OtherScalar = double]'
../include/Eigen/src/Jacobi/Jacobi.h:299:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Eigen::Index = long long int]'
../include/Eigen/src/Eigenvalues/RealSchur.h:417:47:   required from 'void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long long int; Scalar = double]'
../include/Eigen/src/Eigenvalues/RealSchur.h:332:9:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
../include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; VectorY = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; OtherScalar = double]'
../include/Eigen/src/Jacobi/Jacobi.h:315:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::Index = long long int]'
../include/Eigen/src/Eigenvalues/RealSchur.h:418:41:   required from 'void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long long int; Scalar = double]'
../include/Eigen/src/Eigenvalues/RealSchur.h:332:9:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >':
../include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; VectorY = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; OtherScalar = double]'
../include/Eigen/src/Jacobi/Jacobi.h:315:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::Index = long long int]'
../include/Eigen/src/Eigenvalues/RealSchur.h:418:41:   required from 'void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long long int; Scalar = double]'
../include/Eigen/src/Eigenvalues/RealSchur.h:332:9:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >'
../include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
../include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, std::complex<double> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, std::complex<double> >'
../include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, std::complex<double> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
../include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseUnaryOp<scalar_cast_op<double, std::complex<double> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Functor = assign_op<std::complex<double>, std::complex<double> >]'
../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::Matrix<std::complex<double>, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, std::complex<double> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Functor = Eigen::internal::assign_op<std::complex<double>, std::complex<double> >; Weak = void]'
../include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_cast_op<double, std::complex<double> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, std::complex<double> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Derived = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:357:19:   required from 'Eigen::EigenSolver<_MatrixType>::EigenvectorsType Eigen::EigenSolver<_MatrixType>::eigenvectors() const [with _MatrixType = Eigen::Matrix<double, -1, -1>; EigenvectorsType = Eigen::Matrix<std::complex<double>, -1, -1>]'
../include/nimble/EigenTypedefs.h:173:49:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >':
../include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >'
../include/Eigen/src/Core/Visitor.h:123:17:   required from 'void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>]'
../include/Eigen/src/Core/Visitor.h:374:14:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long long int; Derived = Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/DenseBase.h:501:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/QR/ColPivHouseholderQR.h:521:90:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
../include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >':
../include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
../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::Map<Eigen::Matrix<double, -1, 1> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>]'
../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<double, -1, 1> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = assign_op<double, double>]'
../include/Eigen/src/Core/NoAlias.h:43:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >':
../include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
../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::Map<Eigen::Matrix<double, -1, 1> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>]'
../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<double, -1, 1> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = assign_op<double, double>]'
../include/Eigen/src/Core/NoAlias.h:43:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >':
../include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
../include/Eigen/src/Core/DenseCoeffsBase.h:182:19:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
../include/Eigen/src/Householder/BlockHouseholder.h:63:53:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
../include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long long int]':
../include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]'
../include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:448:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Eigenvalues/RealSchur.h:258:54:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 1> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 1> >'
../include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 2, 1>; Scalar = double]'
../include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 2, 1>]'
../include/Eigen/src/Householder/Householder.h:86:22:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
../include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Scalar = double]'
../include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 1, 1, 0, 1, 1>]'
../include/Eigen/src/Householder/Householder.h:86:22:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
../include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = assign_op<double, double>]'
../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<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
../include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../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::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/SVD/JacobiSVD.h:697:18:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false> >':
../include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
../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::Map<Eigen::Matrix<double, -1, 1> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]'
../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<double, -1, 1> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op<double, double>]'
../include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]'
../include/Eigen/src/Householder/Householder.h:167:19:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:271:17:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]':
../include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]'
../include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Eigenvalues/RealSchur.h:370:74:   required from 'typename MatrixType::Scalar Eigen::RealSchur<_MatrixType>::computeNormOfT() [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename MatrixType::Scalar = double]'
../include/Eigen/src/Eigenvalues/RealSchur.h:309:17:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >, Eigen::internal::IndexBased, double>'
../include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> > >'
../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<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, Eigen::internal::IndexBased, double>'
../include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> > >'
../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<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/EigenSolver.h:615:21:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/EigenSolver.h:615:21:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, 1, -1>; Eigen::Index = long long int]':
../include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<double, 1, -1>; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<double, 1, -1> >; Scalar = double]'
../include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:448:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/QR/ColPivHouseholderQR.h:511:85:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
../include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
../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<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
../include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Func = generic_product_impl<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
../include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >':
../include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
../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<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1, 3>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1>'
../include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 4>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
../include/Eigen/src/Core/ProductEvaluators.h:416:50:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1, 3>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>'
../include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 4>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1>'
../include/Eigen/src/Core/ProductEvaluators.h:416:50:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 4>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>'
../include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 4>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
../include/Eigen/src/Core/ProductEvaluators.h:416:50:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 4>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>'
../include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 4>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1>'
../include/Eigen/src/Core/ProductEvaluators.h:416:50:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from ../include/Eigen/Core:333:
../include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 0>':
../include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
../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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
../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::Matrix<double, -1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
../include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/EigenSolver.h:615:21:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 1>':
../include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
../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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
../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::Matrix<double, -1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
../include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/EigenSolver.h:615:21:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 2>':
../include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
../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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
../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::Matrix<double, -1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
../include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/EigenSolver.h:615:21:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/EigenSolver.h:615:21:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
../include/Eigen/src/Core/GeneralProduct.h:296:40:   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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/EigenSolver.h:615:21:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
../include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
../include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Dot.h:110:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]':
../include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]'
../include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Dot.h:110:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]'
../include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/Eigen/src/Core/ProductEvaluators.h:349:16:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
../include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]'
../include/Eigen/src/Core/AssignEvaluator.h:954:31:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
../include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]'
../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::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
../include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>'
../include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:145:36:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]':
../include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]'
../include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:145:36:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >':
../include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Functor = add_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
../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<double, -1, 1> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Func = add_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]'
../include/Eigen/src/Householder/Householder.h:168:9:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:271:17:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:271:17:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false> >':
../include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 2, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>; Functor = assign_op<double, double>]'
../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<double, 2, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
../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<double, 2, 1>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>; Derived = Eigen::Matrix<double, 2, 1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>; Derived = Eigen::Matrix<double, 2, 1>]'
../include/Eigen/src/Core/Matrix.h:423:29:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >'
../include/Eigen/src/Core/Dot.h:50:23:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/EigenSolver.h:615:21:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >'
../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<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/EigenSolver.h:615:21:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long long int]':
../include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]'
../include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Householder/Householder.h:78:71:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
../include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
../include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
../include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from ../include/Eigen/Core:330:
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>':
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:92:29:   required from 'struct Eigen::internal::product_triangular_matrix_matrix<double, long long int, 5, true, 0, false, 0, false, 0, 1, 0>'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]'
../include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
../include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, false>'
../include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, Eigen::Dense>'
../include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
../include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:145:36:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:271:17:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false> >':
../include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 3, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>; Functor = assign_op<double, double>]'
../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<double, 3, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
../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<double, 3, 1>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>; Func = assign_op<double, double>]'
../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<double, 3, 1>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, 3, 1>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>]'
../include/Eigen/src/Core/PlainObjectBase.h:779:32:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
../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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]'
../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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
../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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]'
../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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const 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]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]'
../include/Eigen/src/Core/Assign.h:66:28:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
../include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
../include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >'
../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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
../include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
../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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
../include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
../include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48:   required from 'static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:783:113:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 64>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 8, 8, 0, 8, 8>'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
../include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 8>':
../include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>':
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:357:18:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>':
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:357:18:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
In file included from ../include/Eigen/Core:337:
../include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of 'static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]':
../include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7:   required from 'static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:805:109:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]'
../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::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>]'
../include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:145:36:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   62 |   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs,  IsRowMajor), ConjugateRhs> pcj0;
      |                                                                                                                         ^~~~
../include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   63 |   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1;
      |                                                                                                                         ^~~~
../include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false> >':
../include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/ProductEvaluators.h:527:76:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>'
../include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from 'struct Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1> >'
../include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1>; Functor = assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
../include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false> >':
../include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Dense>'
../include/Eigen/src/Core/ProductEvaluators.h:526:76:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>'
../include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from 'struct Eigen::internal::evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1> >'
../include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>; Functor = assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
../include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >':
../include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/ProductEvaluators.h:526:76:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>, 4, Eigen::DenseShape, Eigen::DenseShape, double, double>'
../include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from 'struct Eigen::internal::evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1> >'
../include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>; Functor = assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
../include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
../include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> > >'
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> > >'
../include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/EigenSolver.h:615:21:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >'
../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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/EigenSolver.h:615:21:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
../include/Eigen/src/Core/Dot.h:50:23:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
../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::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
../include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
../include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>'
../include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>'
../include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>'
../include/Eigen/src/Core/VectorBlock.h:56:47:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
../include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54:   required from 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]'
../include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
../include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, false>'
../include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>'
../include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
../include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../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 = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:175:15:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]'
../include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
../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 = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]':
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]'
../include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../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 = double; RhsScalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]':
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]'
../include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
In file included from ../include/Eigen/Core:166:
../include/Eigen/src/Core/util/Memory.h: In instantiation of 'Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long long int]':
../include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68:   required from 'static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]'
../include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7:   required from 'static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:805:109:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]'
../include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:145:36:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  500 |   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
      |                                                            ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >'
../include/Eigen/src/Core/Dot.h:50:23:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:271:17:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >'
../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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:271:17:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
../include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
../include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >'
../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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
../include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
../include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
../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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
../include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >'
../include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
../include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
../include/Eigen/src/Core/products/TriangularMatrixVector.h:119:18:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
../include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
../include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77:   required from 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]'
../include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
../include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
../include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>; Scalar = double]'
../include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
../include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; Scalar = double]'
../include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
../include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
../include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
../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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]'
../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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
../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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]'
../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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>]'
../include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../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 = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]':
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>]'
../include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2256 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2258 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2259 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2298 |               PacketBlock<HalfPacket> kernel_half;
      |                                       ^~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2304 |               PacketBlock<QuarterPacket> kernel_quarter;
      |                                          ^~~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
../include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> > >'
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> > >'
../include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:271:17:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >'
../include/Eigen/src/Core/ProductEvaluators.h:618:37:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >'
../include/Eigen/src/Core/ProductEvaluators.h:618:52:   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) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >; CoeffReturnType = double; Eigen::Index = long long int]'
../include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >'
../include/Eigen/src/Core/ProductEvaluators.h:618:37:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >'
../include/Eigen/src/Core/ProductEvaluators.h:618:52:   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) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; CoeffReturnType = double; Eigen::Index = long long int]'
../include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >'
../include/Eigen/src/Core/ProductEvaluators.h:618:37:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
../include/Eigen/src/Core/ProductEvaluators.h:618:52:   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) const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; CoeffReturnType = double; Eigen::Index = long long int]'
../include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]':
../include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]'
../include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Dot.h:50:63:   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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
../include/Eigen/src/Core/Redux.h:357:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
../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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>'
../include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
../include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>; Scalar = double]'
../include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >':
../include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
../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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
../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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
../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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
../include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
../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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
../include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >':
../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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
../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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
../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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>]'
../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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true> >':
../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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]'
../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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
../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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]'
../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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true>]'
../include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:271:17:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >'
../include/Eigen/src/Core/ProductEvaluators.h:618:37:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 1>, 2, 1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >'
../include/Eigen/src/Core/ProductEvaluators.h:618:52:   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) const [with Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>; Rhs = Eigen::Matrix<double, 2, 1>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, 2, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>; CoeffReturnType = double; Eigen::Index = long long int]'
../include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >'
../include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false, false>'
../include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false, Eigen::Dense>'
../include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false>'
../include/Eigen/src/Core/ProductEvaluators.h:606:22:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >'
../include/Eigen/src/Core/ProductEvaluators.h:606:37:   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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >; CoeffReturnType = double; Eigen::Index = long long int]'
../include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >'
../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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >; CoeffReturnType = double; Eigen::Index = long long int]'
../include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >'
../include/Eigen/src/Core/ProductEvaluators.h:618:37:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >'
../include/Eigen/src/Core/ProductEvaluators.h:618:52:   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) const [with Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Rhs = Eigen::Matrix<double, 1, 1, 0, 1, 1>; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, 1, 1, 0, 1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
../include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >'
../include/Eigen/src/Core/ProductEvaluators.h:618:52:   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) const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >; CoeffReturnType = double; Eigen::Index = long long int]'
../include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]':
../include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]'
../include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Dot.h:50:63:   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::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, Eigen::internal::IndexBased, double>'
../include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> > >'
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> > >'
../include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> > >'
../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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, Eigen::internal::IndexBased, double>'
../include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> > >'
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> > >'
../include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> > >'
../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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, Eigen::internal::IndexBased, double>'
../include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> > >'
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> > >'
../include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
../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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long long int]':
../include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]'
../include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114:   required from 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]'
../include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   required from 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]'
../include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
../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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
../include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
../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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
../include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
../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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
../include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
../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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
../include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >':
../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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
../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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
../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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>]'
../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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>]'
../include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >':
../include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
../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::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
../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::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
../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::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
../include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
../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::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
../include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>'
../include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> > >'
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> > >'
../include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> > >'
../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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, Eigen::internal::IndexBased, double>'
../include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> > >'
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> > >'
../include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> > >'
../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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>'
../include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> > >'
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> > >'
../include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> > >'
../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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> > >'
../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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >'
../include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
../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::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
../include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
../include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
../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::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
../include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In function 'static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]':
../include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: warning: 'result' may be used uninitialized [-Wmaybe-uninitialized]
  227 |     internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  228 |                                                 int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  229 |       (
      |       ^
  230 |         lhs.rows(),                             // size
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |         &lhs.coeffRef(0,0),  lhs.outerStride(), // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |         actualRhsPtr,                           // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |         actualDestPtr,                          // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |         actualAlpha                             // scale factor
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |       );
      |       ~
../include/Eigen/src/Core/products/SelfadjointMatrixVector.h:41:6: note: by argument 4 of type 'const double*' to 'static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]' declared here
   41 | void selfadjoint_matrix_vector_product<Scalar,Index,StorageOrder,UpLo,ConjugateLhs,ConjugateRhs,Version>::run(
      |      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from ../include/Eigen/Core:341:
../include/Eigen/src/Core/products/TriangularMatrixVector.h: In function 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6]':
../include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: 'result' may be used uninitialized [-Wmaybe-uninitialized]
  327 |     internal::triangular_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  328 |       <Index,Mode,
      |       ~~~~~~~~~~~~
  329 |        LhsScalar, LhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  330 |        RhsScalar, RhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  331 |        RowMajor>
      |        ~~~~~~~~~
  332 |       ::run(actualLhs.rows(),actualLhs.cols(),
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  333 |             actualLhs.data(),actualLhs.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  334 |             actualRhsPtr,1,
      |             ~~~~~~~~~~~~~~~
  335 |             dest.data(),dest.innerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  336 |             actualAlpha);
      |             ~~~~~~~~~~~~
../include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type 'const double*' to 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0]' declared here
  105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product<Index,Mode,LhsScalar,ConjLhs,RhsScalar,ConjRhs,RowMajor,Version>
      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DR_NO_REMAP -I"../include"    -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c RcppNimbleUtils.cpp -o RcppNimbleUtils.o
In file included from ../include/Eigen/Core:205,
                 from ../include/nimble/NimArrBase.h:33,
                 from RcppNimbleUtils.cpp:22:
../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;
      |                                        ^
../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;
      |                                        ^
../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 }; };
      |                                       ^
../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 }; };
      |                                        ^
../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 }; };
      |                                        ^
../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> {
      |                                           ^
../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> {
      |                                           ^
../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) {
      |                                  ^
../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 ../include/Eigen/Core:174:
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DR_NO_REMAP -I"../include"    -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c Utils.cpp -o Utils.o
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DR_NO_REMAP -I"../include"    -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c NamedObjects.cpp -o NamedObjects.o
In file included from ../include/Eigen/Core:205,
                 from ../include/nimble/NimArrBase.h:33,
                 from ../include/nimble/RcppNimbleUtils.h:24,
                 from ../include/nimble/NamedObjects.h:28,
                 from NamedObjects.cpp:22:
../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;
      |                                        ^
../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;
      |                                        ^
../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 }; };
      |                                       ^
../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 }; };
      |                                        ^
../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 }; };
      |                                        ^
../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> {
      |                                           ^
../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> {
      |                                           ^
../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) {
      |                                  ^
../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 ../include/Eigen/Core:174:
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DR_NO_REMAP -I"../include"    -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c ModelClassUtils.cpp -o ModelClassUtils.o
In file included from ../include/Eigen/Core:205,
                 from ../include/nimble/NimArrBase.h:33,
                 from ../include/nimble/RcppNimbleUtils.h:24,
                 from ../include/nimble/NamedObjects.h:28,
                 from ../include/nimble/ModelClassUtils.h:25,
                 from ModelClassUtils.cpp:22:
../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;
      |                                        ^
../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;
      |                                        ^
../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 }; };
      |                                       ^
../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 }; };
      |                                        ^
../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 }; };
      |                                        ^
../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> {
      |                                           ^
../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> {
      |                                           ^
../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) {
      |                                  ^
../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 ../include/Eigen/Core:174:
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DR_NO_REMAP -I"../include"    -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c dists.cpp -o dists.o
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DR_NO_REMAP -I"../include"    -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c nimDists.cpp -o nimDists.o
In file included from ../include/Eigen/Core:205,
                 from ../include/nimble/NimArrBase.h:33,
                 from ../include/nimble/NimArr.h:26,
                 from ../include/nimble/nimDists.h:25,
                 from nimDists.cpp:24:
../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;
      |                                        ^
../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;
      |                                        ^
../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 }; };
      |                                       ^
../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 }; };
      |                                        ^
../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 }; };
      |                                        ^
../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> {
      |                                           ^
../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> {
      |                                           ^
../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) {
      |                                  ^
../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 ../include/Eigen/Core:174:
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DR_NO_REMAP -I"../include"    -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c dllFinalizer.cpp -o dllFinalizer.o
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DR_NO_REMAP -I"../include"    -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c nimbleGraph.cpp -o nimbleGraph.o
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DR_NO_REMAP -I"../include"    -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c smartPtrs.cpp -o smartPtrs.o
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DR_NO_REMAP -I"../include"    -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c predefinedNimbleLists.cpp -o predefinedNimbleLists.o
In file included from ../include/Eigen/Core:205,
                 from ../include/nimble/NimArrBase.h:33,
                 from ../include/nimble/RcppNimbleUtils.h:24,
                 from ../include/nimble/NamedObjects.h:28,
                 from ../include/nimble/predefinedNimbleLists.h:9,
                 from predefinedNimbleLists.cpp:4:
../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;
      |                                        ^
../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;
      |                                        ^
../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 }; };
      |                                       ^
../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 }; };
      |                                        ^
../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 }; };
      |                                        ^
../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> {
      |                                           ^
../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> {
      |                                           ^
../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) {
      |                                  ^
../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 ../include/Eigen/Core:174:
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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 ../include/Eigen/Core:165:
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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 ../include/Eigen/Core:271:
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
../include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
../include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
../include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
../include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
../include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:277:16:   required from 'class Eigen::HessenbergDecomposition<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/RealSchur.h:230:41:   required from 'class Eigen::RealSchur<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/EigenSolver.h:316:27:   required from 'class Eigen::EigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:156:47:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >'
../include/nimble/EigenTypedefs.h:156:68:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >'
../include/nimble/EigenTypedefs.h:161:35:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>'
../include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1> >'
../include/nimble/EigenTypedefs.h:163:16:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >'
../include/nimble/EigenTypedefs.h:173:58:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >'
../include/nimble/EigenTypedefs.h:175:38:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DR_NO_REMAP -I"../include"    -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c nimOptim.cpp -o nimOptim.o
In file included from ../include/Eigen/Core:205,
                 from ../include/nimble/NimArrBase.h:33,
                 from ../include/nimble/NimArr.h:26,
                 from ../include/nimble/nimOptim.h:25,
                 from nimOptim.cpp:23:
../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;
      |                                        ^
../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;
      |                                        ^
../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 }; };
      |                                       ^
../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 }; };
      |                                        ^
../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 }; };
      |                                        ^
../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> {
      |                                           ^
../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> {
      |                                           ^
../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) {
      |                                  ^
../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 ../include/Eigen/Core:174:
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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 ../include/Eigen/Core:165:
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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 ../include/Eigen/Core:271:
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
../include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
../include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
../include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
../include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
../include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:277:16:   required from 'class Eigen::HessenbergDecomposition<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/RealSchur.h:230:41:   required from 'class Eigen::RealSchur<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/EigenSolver.h:316:27:   required from 'class Eigen::EigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:156:47:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >'
../include/nimble/EigenTypedefs.h:156:68:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >'
../include/nimble/EigenTypedefs.h:161:35:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>'
../include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1> >'
../include/nimble/EigenTypedefs.h:163:16:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >'
../include/nimble/EigenTypedefs.h:173:58:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >'
../include/nimble/EigenTypedefs.h:175:38:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from ../include/nimble/predefinedNimbleLists.h:7,
                 from ../include/nimble/nimOptim.h:26:
In destructor 'virtual pointedToBase::~pointedToBase()',
    inlined from 'void pointedToBase::removeWatcher()' at ../include/nimble/smartPtrs.h:144:14,
    inlined from 'void pointedToBase::removeWatcher()' at ../include/nimble/smartPtrs.h:132:8,
    inlined from 'nimSmartPtr<T>::~nimSmartPtr() [with T = OptimControlNimbleList]' at ../include/nimble/smartPtrs.h:116:29:
../include/nimble/smartPtrs.h:147:29: warning: 'void operator delete(void*, std::size_t)' called on pointer '*this.nimSmartPtr<OptimControlNimbleList>::realPtr' with nonzero offset 56 [-Wfree-nonheap-object]
  147 |   virtual ~pointedToBase() {};
      |                             ^
In destructor 'virtual pointedToBase::~pointedToBase()',
    inlined from 'void pointedToBase::removeWatcher()' at ../include/nimble/smartPtrs.h:144:14,
    inlined from 'void pointedToBase::removeWatcher()' at ../include/nimble/smartPtrs.h:132:8,
    inlined from 'nimSmartPtr<T>::~nimSmartPtr() [with T = OptimResultNimbleList]' at ../include/nimble/smartPtrs.h:116:29:
../include/nimble/smartPtrs.h:147:29: warning: 'void operator delete(void*, std::size_t)' called on pointer '*this.nimSmartPtr<OptimResultNimbleList>::realPtr' with nonzero offset 56 [-Wfree-nonheap-object]
  147 |   virtual ~pointedToBase() {};
      |                             ^
In destructor 'virtual pointedToBase::~pointedToBase()',
    inlined from 'void pointedToBase::removeWatcher()' at ../include/nimble/smartPtrs.h:144:14,
    inlined from 'void pointedToBase::removeWatcher()' at ../include/nimble/smartPtrs.h:132:8,
    inlined from 'nimSmartPtr<T>::~nimSmartPtr() [with T = OptimControlNimbleList]' at ../include/nimble/smartPtrs.h:116:29,
    inlined from 'nimSmartPtr<T>::~nimSmartPtr() [with T = OptimControlNimbleList]' at ../include/nimble/smartPtrs.h:117:3:
../include/nimble/smartPtrs.h:147:29: warning: 'void operator delete(void*, std::size_t)' called on pointer '*this.nimSmartPtr<OptimControlNimbleList>::realPtr' with nonzero offset 56 [-Wfree-nonheap-object]
  147 |   virtual ~pointedToBase() {};
      |                             ^
In destructor 'virtual pointedToBase::~pointedToBase()',
    inlined from 'void pointedToBase::removeWatcher()' at ../include/nimble/smartPtrs.h:144:14,
    inlined from 'void pointedToBase::removeWatcher()' at ../include/nimble/smartPtrs.h:132:8,
    inlined from 'nimSmartPtr<T>::~nimSmartPtr() [with T = OptimResultNimbleList]' at ../include/nimble/smartPtrs.h:116:29,
    inlined from 'nimSmartPtr<T>::~nimSmartPtr() [with T = OptimResultNimbleList]' at ../include/nimble/smartPtrs.h:117:3:
../include/nimble/smartPtrs.h:147:29: warning: 'void operator delete(void*, std::size_t)' called on pointer '*this.nimSmartPtr<OptimResultNimbleList>::realPtr' with nonzero offset 56 [-Wfree-nonheap-object]
  147 |   virtual ~pointedToBase() {};
      |                             ^
In destructor 'virtual pointedToBase::~pointedToBase()',
    inlined from 'void pointedToBase::removeWatcher()' at ../include/nimble/smartPtrs.h:144:14,
    inlined from 'void pointedToBase::removeWatcher()' at ../include/nimble/smartPtrs.h:132:8,
    inlined from 'void nimSmartPtr<T>::setPtrFromT(T*&) [with T = OptimControlNimbleList]' at ../include/nimble/smartPtrs.h:55:39,
    inlined from 'void nimSmartPtr<T>::setPtrFromVoidPtr(void*&) [with T = OptimControlNimbleList]' at ../include/nimble/smartPtrs.h:64:16:
../include/nimble/smartPtrs.h:147:29: warning: 'void operator delete(void*, std::size_t)' called on pointer '*this.nimSmartPtr<OptimControlNimbleList>::realPtr' with nonzero offset 56 [-Wfree-nonheap-object]
  147 |   virtual ~pointedToBase() {};
      |                             ^
In destructor 'virtual pointedToBase::~pointedToBase()',
    inlined from 'void pointedToBase::removeWatcher()' at ../include/nimble/smartPtrs.h:144:14,
    inlined from 'void pointedToBase::removeWatcher()' at ../include/nimble/smartPtrs.h:132:8,
    inlined from 'void nimSmartPtr<T>::setPtrFromT(T*&) [with T = OptimResultNimbleList]' at ../include/nimble/smartPtrs.h:55:39,
    inlined from 'void nimSmartPtr<T>::setPtrFromVoidPtr(void*&) [with T = OptimResultNimbleList]' at ../include/nimble/smartPtrs.h:64:16:
../include/nimble/smartPtrs.h:147:29: warning: 'void operator delete(void*, std::size_t)' called on pointer '*this.nimSmartPtr<OptimResultNimbleList>::realPtr' with nonzero offset 56 [-Wfree-nonheap-object]
  147 |   virtual ~pointedToBase() {};
      |                             ^
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DR_NO_REMAP -I"../include"    -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c nimIntegrate.cpp -o nimIntegrate.o
In file included from ../include/Eigen/Core:205,
                 from ../include/nimble/NimArrBase.h:33,
                 from ../include/nimble/NimArr.h:26,
                 from ../include/nimble/nimIntegrate.h:25,
                 from nimIntegrate.cpp:29:
../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;
      |                                        ^
../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;
      |                                        ^
../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 }; };
      |                                       ^
../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 }; };
      |                                        ^
../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 }; };
      |                                        ^
../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> {
      |                                           ^
../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> {
      |                                           ^
../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) {
      |                                  ^
../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 ../include/Eigen/Core:174:
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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 ../include/Eigen/Core:165:
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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 ../include/Eigen/Core:271:
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
../include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
../include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
../include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
../include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
../include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:277:16:   required from 'class Eigen::HessenbergDecomposition<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/RealSchur.h:230:41:   required from 'class Eigen::RealSchur<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/EigenSolver.h:316:27:   required from 'class Eigen::EigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:156:47:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >'
../include/nimble/EigenTypedefs.h:156:68:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >'
../include/nimble/EigenTypedefs.h:161:35:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>'
../include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1> >'
../include/nimble/EigenTypedefs.h:163:16:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >'
../include/nimble/EigenTypedefs.h:173:58:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >'
../include/nimble/EigenTypedefs.h:175:38:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DR_NO_REMAP -I"../include"    -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c nimDerivs_atomic_classes.cpp -o nimDerivs_atomic_classes.o
In file included from ../include/Eigen/Core:205,
                 from ../include/Eigen/Dense:1,
                 from ../include/nimble/EigenTypedefs.h:24,
                 from ../include/nimble/nimbleCppAD.h:38,
                 from ../include/nimble/nimDerivs_atomic_classes.h:11,
                 from nimDerivs_atomic_classes.cpp:1:
../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;
      |                                        ^
../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;
      |                                        ^
../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 }; };
      |                                       ^
../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 }; };
      |                                        ^
../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 }; };
      |                                        ^
../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> {
      |                                           ^
../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> {
      |                                           ^
../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) {
      |                                  ^
../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 ../include/Eigen/Core:174:
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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 ../include/Eigen/Core:165:
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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 ../include/Eigen/Core:271:
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
../include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
../include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
../include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
../include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
../include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:277:16:   required from 'class Eigen::HessenbergDecomposition<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/RealSchur.h:230:41:   required from 'class Eigen::RealSchur<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/EigenSolver.h:316:27:   required from 'class Eigen::EigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:156:47:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >'
../include/nimble/EigenTypedefs.h:156:68:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >'
../include/nimble/EigenTypedefs.h:161:35:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>'
../include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1> >'
../include/nimble/EigenTypedefs.h:163:16:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >'
../include/nimble/EigenTypedefs.h:173:58:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >'
../include/nimble/EigenTypedefs.h:175:38:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>'
../include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >'
../include/nimble/nimDerivs_atomic_matmult.h:144:53:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>'
../include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >'
../include/nimble/nimDerivs_atomic_matmult.h:147:48:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DR_NO_REMAP -I"../include"    -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c nimDerivs_atomic_matmult.cpp -o nimDerivs_atomic_matmult.o
In file included from ../include/Eigen/Core:205,
                 from ../include/Eigen/Dense:1,
                 from ../include/nimble/EigenTypedefs.h:24,
                 from ../include/nimble/nimbleCppAD.h:38,
                 from ../include/nimble/nimDerivs_atomic_matmult.h:11,
                 from nimDerivs_atomic_matmult.cpp:1:
../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;
      |                                        ^
../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;
      |                                        ^
../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 }; };
      |                                       ^
../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 }; };
      |                                        ^
../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 }; };
      |                                        ^
../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> {
      |                                           ^
../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> {
      |                                           ^
../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) {
      |                                  ^
../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 ../include/Eigen/Core:174:
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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 ../include/Eigen/Core:165:
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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 ../include/Eigen/Core:271:
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
../include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
../include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
../include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
../include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
../include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:277:16:   required from 'class Eigen::HessenbergDecomposition<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/RealSchur.h:230:41:   required from 'class Eigen::RealSchur<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/EigenSolver.h:316:27:   required from 'class Eigen::EigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:156:47:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >'
../include/nimble/EigenTypedefs.h:156:68:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >'
../include/nimble/EigenTypedefs.h:161:35:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>'
../include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1> >'
../include/nimble/EigenTypedefs.h:163:16:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >'
../include/nimble/EigenTypedefs.h:173:58:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >'
../include/nimble/EigenTypedefs.h:175:38:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>'
../include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >'
../include/nimble/nimDerivs_atomic_matmult.h:144:53:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>'
../include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >'
../include/nimble/nimDerivs_atomic_matmult.h:147:48:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
nimDerivs_atomic_matmult.cpp:629:78:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>'
nimDerivs_atomic_matmult.cpp:229:54:   required from 'void matmult_internal_respecting_upper_lower(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:389:44:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>'
nimDerivs_atomic_matmult.cpp:240:54:   required from 'void matmult_internal_respecting_upper_lower(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:389:44:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>'
nimDerivs_atomic_matmult.cpp:248:54:   required from 'void matmult_internal_respecting_upper_lower(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:389:44:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>'
nimDerivs_atomic_matmult.cpp:259:54:   required from 'void matmult_internal_respecting_upper_lower(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:389:44:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>'
nimDerivs_atomic_matmult.cpp:267:2:   required from 'void matmult_internal_respecting_upper_lower(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:389:44:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, 0>'
nimDerivs_atomic_matmult.cpp:273:2:   required from 'void matmult_internal_respecting_upper_lower(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:389:44:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>'
nimDerivs_atomic_matmult.cpp:278:14:   required from 'void matmult_internal_respecting_upper_lower(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:389:44:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>'
nimDerivs_atomic_matmult.cpp:240:54:   required from 'void matmult_internal_respecting_upper_lower(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:629:46:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>'
nimDerivs_atomic_matmult.cpp:259:54:   required from 'void matmult_internal_respecting_upper_lower(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:629:46:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, 0>'
nimDerivs_atomic_matmult.cpp:267:2:   required from 'void matmult_internal_respecting_upper_lower(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:629:46:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>'
nimDerivs_atomic_matmult.cpp:273:2:   required from 'void matmult_internal_respecting_upper_lower(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:629:46:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>'
nimDerivs_atomic_matmult.cpp:278:14:   required from 'void matmult_internal_respecting_upper_lower(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:629:46:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1>, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1>, 0>'
nimDerivs_atomic_matmult.cpp:229:54:   required from 'void matmult_internal_respecting_upper_lower(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:637:46:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>'
nimDerivs_atomic_matmult.cpp:240:54:   required from 'void matmult_internal_respecting_upper_lower(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:637:46:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Matrix<double, -1, -1>, 0>'
nimDerivs_atomic_matmult.cpp:248:54:   required from 'void matmult_internal_respecting_upper_lower(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:637:46:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>'
nimDerivs_atomic_matmult.cpp:259:54:   required from 'void matmult_internal_respecting_upper_lower(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:637:46:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>'
nimDerivs_atomic_matmult.cpp:267:2:   required from 'void matmult_internal_respecting_upper_lower(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:637:46:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, 0>'
nimDerivs_atomic_matmult.cpp:273:2:   required from 'void matmult_internal_respecting_upper_lower(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:637:46:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>'
nimDerivs_atomic_matmult.cpp:278:14:   required from 'void matmult_internal_respecting_upper_lower(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:637:46:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Scalar = double]'
../include/Eigen/src/Core/CwiseNullaryOp.h:337:3:   required from 'void Eigen::DenseBase<Derived>::fill(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Scalar = double]'
nimDerivs_atomic_matmult.cpp:433:18:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
../include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:673:50:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>'
../include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from ../include/Eigen/Core:277:
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
../include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>'
../include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >'
../include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
../include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>'
../include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:673:50:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:673:50:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >'
../include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >]'
../include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:673:50:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>'
../include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:673:50:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:673:50:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>'
../include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:680:50:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>'
../include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:680:50:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:680:50:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >'
../include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, Eigen::Dense>'
../include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
../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<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
../include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:680:50:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>'
../include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>'
../include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:673:50:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:673:50:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>'
../include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:680:50:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:680:50:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from ../include/Eigen/Core:330:
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>':
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:92:29:   required from 'struct Eigen::internal::product_triangular_matrix_matrix<double, long long int, 2, true, 0, false, 0, false, 0, 1, 0>'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]'
../include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:290:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:290:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:290:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:290:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
../include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, false>'
../include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, Eigen::Dense>'
../include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:290:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:290:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:290:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:290:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:295:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> >'
../include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false, false>'
../include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false, Eigen::Dense>'
../include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:295:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../include/Eigen/src/Core/GeneralProduct.h:366:43:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../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>':
../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>'
../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>'
../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> > >'
../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> > >'
../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>'
../include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >'
../include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
../include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:295:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:673:50:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:295:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:673:50:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true> >'
../include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true, false>'
../include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true, Eigen::Dense>'
../include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true>'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:295:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:673:50:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:673:50:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:290:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:680:50:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> >'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:290:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:680:50:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../include/Eigen/src/Core/GeneralProduct.h:379:80:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:680:50:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/GeneralProduct.h:379:59:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:680:50:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >'
../include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:680:50:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 64>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 8, 8, 0, 8, 8>'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:290:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
../include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:290:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:290:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 8>':
../include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:290:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>':
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:290:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>':
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:290:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 16>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:300:68:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, false, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:783:113:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:309:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
../include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:309:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:309:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/Dot.h:50:23:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > >'
../include/Eigen/src/Core/GeneralProduct.h:379:80:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > > >'
../include/Eigen/src/Core/GeneralProduct.h:379:59:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; typename Dest::Scalar = double]'
../include/Eigen/src/Core/GeneralProduct.h:207:12:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs<double, long long int, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 4, 1, false, false>':
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:159:73:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; int ProductTag = 8; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::TriangularShape, Eigen::DenseShape, 8>]'
../include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:295:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:673:50:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2504 |   typedef typename unpacket_traits<Packet>::half HalfPacket;
      |                                                  ^~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2505 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2508 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2509 |                  QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
      |                                                                      ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 4, 1, 4, 4> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4, 1, 4, 4> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4, 1, 4, 4> >'
../include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:309:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:673:50:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:309:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:673:50:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs<double, long long int, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 4, 1, false, true>':
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:310:84:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, false, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:783:113:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>; int ProductTag = 8; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::DenseShape, Eigen::TriangularShape, 8>]'
../include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:309:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:673:50:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2504 |   typedef typename unpacket_traits<Packet>::half HalfPacket;
      |                                                  ^~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2505 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2508 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2509 |                  QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
      |                                                                      ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:673:50:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:673:50:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:673:50:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >'
../include/Eigen/src/Core/GeneralProduct.h:366:43:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; typename Dest::Scalar = double]'
../include/Eigen/src/Core/GeneralProduct.h:207:12:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:673:50:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
../include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:290:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:680:50:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:290:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:680:50:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >'
../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::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:680:50:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
../include/Eigen/src/Core/MapBase.h:268:7:   required from 'Eigen::MapBase<Derived, 1>::ScalarWithConstIfNotLvalue& Eigen::MapBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long long int]'
../include/Eigen/src/Core/GeneralProduct.h:379:20:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
../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::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Rhs = const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
../include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:680:50:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >'
../include/Eigen/src/Core/Dot.h:50:23:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:680:50:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../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::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:680:50:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > >'
../include/Eigen/src/Core/GeneralProduct.h:379:80:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:680:50:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > > >'
../include/Eigen/src/Core/GeneralProduct.h:379:59:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; typename Dest::Scalar = double]'
../include/Eigen/src/Core/GeneralProduct.h:207:12:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:680:50:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../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 = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:175:15:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]'
../include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:290:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
../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 = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]':
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]'
../include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:290:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../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 = double; RhsScalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]':
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]'
../include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:290:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
../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 = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = true]':
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:346:25:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, false, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:783:113:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::TriangularShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>; int ProductTag = 8; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>; Derived = Eigen::internal::generic_product_impl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::DenseShape, Eigen::TriangularShape, 8>]'
../include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:309:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
../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>'
../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> > >'
../include/Eigen/src/Core/DenseCoeffsBase.h:391:7:   required from 'Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Core/GeneralProduct.h:379:20:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; typename Dest::Scalar = double]'
../include/Eigen/src/Core/GeneralProduct.h:207:12:   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::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../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,
      |                                                      ^~~~~~~~~
../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 = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]':
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]'
../include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:290:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:680:50:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2256 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2258 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2259 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2298 |               PacketBlock<HalfPacket> kernel_half;
      |                                       ^~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2304 |               PacketBlock<QuarterPacket> kernel_quarter;
      |                                          ^~~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
../include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>; Scalar = double]'
../include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:290:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
../include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; Scalar = double]'
../include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:290:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >'
../include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Scalar = double]'
../include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:301:29:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:309:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>; Scalar = double]'
../include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:42:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:309:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >'
../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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> > >'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > > > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > > > >'
../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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4, 1, 4, 4> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4, 1, 4, 4> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4, 1, 4, 4> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4, 1, 4, 4> >'
../include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4, 1, 4, 4>; Scalar = double]'
../include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4, 1, 4, 4>]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:301:29:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:309:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:673:50:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> > >'
../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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:673:50:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
../include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>; Scalar = double]'
../include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:290:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:680:50:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >'
../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::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
../include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> > >'
../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::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> > >'
../include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:680:50:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; CoeffReturnType = double; Eigen::Index = long long int]'
../include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:673:50:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; CoeffReturnType = double; Eigen::Index = long long int]'
../include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:673:50:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >'
../include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:680:50:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../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::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; CoeffReturnType = double; Eigen::Index = long long int]'
../include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:680:50:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:290:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >':
../include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
../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::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
../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::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
../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::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:290:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >':
../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::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
../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::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
../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::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
../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::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:290:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> > >'
../include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
../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::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
../include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:290:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >':
../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::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
../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::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
../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, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Func = sub_assign_op<double, double>]'
../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, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:290:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> >':
../include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
../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::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
../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::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Func = sub_assign_op<double, double>]'
../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::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:295:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:415:45:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true> >':
../include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true>; Functor = sub_assign_op<double, double>]'
../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::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
../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::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true>; Func = sub_assign_op<double, double>]'
../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::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:295:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:673:50:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> > >'
../include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
../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::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
../include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:290:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; X2c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:680:50:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >'
../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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:673:50:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> > >'
../include/Eigen/src/Core/AssignEvaluator.h:774:20:   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::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >; Functor = add_assign_op<double, double>]'
../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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
../include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:315:9:   required from 'void matmult_internal_respecting_upper_lower_add(const X1c&, const X2c&, Yc&, const matrix_category&, const matrix_category&) [with X1c = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; X2c = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Yc = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matmult.cpp:673:50:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DR_NO_REMAP -I"../include"    -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c nimDerivs_atomic_matinverse.cpp -o nimDerivs_atomic_matinverse.o
In file included from ../include/Eigen/Core:205,
                 from ../include/Eigen/Dense:1,
                 from ../include/nimble/EigenTypedefs.h:24,
                 from ../include/nimble/nimDerivs_vecmat_utils.h:5,
                 from ../include/nimble/nimDerivs_atomic_matinverse.h:9,
                 from nimDerivs_atomic_matinverse.cpp:1:
../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;
      |                                        ^
../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;
      |                                        ^
../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 }; };
      |                                       ^
../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 }; };
      |                                        ^
../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 }; };
      |                                        ^
../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> {
      |                                           ^
../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> {
      |                                           ^
../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) {
      |                                  ^
../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 ../include/Eigen/Core:174:
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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 ../include/Eigen/Core:165:
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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 ../include/Eigen/Core:271:
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
../include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
../include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
../include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
../include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
../include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:277:16:   required from 'class Eigen::HessenbergDecomposition<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/RealSchur.h:230:41:   required from 'class Eigen::RealSchur<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/EigenSolver.h:316:27:   required from 'class Eigen::EigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:156:47:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >'
../include/nimble/EigenTypedefs.h:156:68:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >'
../include/nimble/EigenTypedefs.h:161:35:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>'
../include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1> >'
../include/nimble/EigenTypedefs.h:163:16:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >'
../include/nimble/EigenTypedefs.h:173:58:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >'
../include/nimble/EigenTypedefs.h:175:38:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>'
../include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >'
../include/nimble/nimDerivs_atomic_matmult.h:144:53:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>'
../include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >'
../include/nimble/nimDerivs_atomic_matmult.h:147:48:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>'
../include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
nimDerivs_atomic_matinverse.cpp:126:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
nimDerivs_atomic_matinverse.cpp:153:14:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>'
nimDerivs_atomic_matinverse.cpp:153:21:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
nimDerivs_atomic_matinverse.cpp:241:35:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
nimDerivs_atomic_matinverse.cpp:241:36:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>'
nimDerivs_atomic_matinverse.cpp:241:40:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>'
nimDerivs_atomic_matinverse.cpp:241:71:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>'
nimDerivs_atomic_matinverse.cpp:249:50:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>'
nimDerivs_atomic_matinverse.cpp:249:61:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
nimDerivs_atomic_matinverse.cpp:249:76:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>'
nimDerivs_atomic_matinverse.cpp:250:81:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>'
nimDerivs_atomic_matinverse.cpp:251:40:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>'
nimDerivs_atomic_matinverse.cpp:251:60:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>'
nimDerivs_atomic_matinverse.cpp:252:28:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
nimDerivs_atomic_matinverse.cpp:252:28:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>'
nimDerivs_atomic_matinverse.cpp:253:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1, 1, -1, -1>'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:241:71:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
../include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:250:81:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > > >'
../include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::SolverStorage>'
../include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/LU/InverseImpl.h:28:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:250:81:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>'
../include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:250:81:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:250:81:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from ../include/Eigen/Core:277:
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >'
../include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >]'
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:250:81:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:250:81:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>'
../include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:250:81:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:250:81:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >'
../include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::DenseShape, Eigen::DenseShape, 7>'
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >]'
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:250:81:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>'
../include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:250:81:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1>; Scalar = double]'
../include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:250:81:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:250:81:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:250:81:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:250:81:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:250:81:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../include/Eigen/src/Core/GeneralProduct.h:366:43:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:250:81:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../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>':
../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>'
../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>'
../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> > >'
../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> > >'
../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>'
../include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:250:81:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:250:81:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >'
../include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:250:81:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>'
../include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
../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<double, -1, -1>; Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
../include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>'
../include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >'
../include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false, false>'
../include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false, Eigen::Dense>'
../include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>'
../include/Eigen/src/Core/Product.h:113:15:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >'
../include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
../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<double, -1, -1>; Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
../include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:241:71:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>'
../include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:241:71:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:241:71:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>'
../include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:241:71:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >'
../include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false, false>'
../include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false, Eigen::Dense>'
../include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>'
../include/Eigen/src/Core/Product.h:113:15:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:241:71:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >'
../include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::DenseShape, Eigen::DenseShape, 7>'
../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<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Scalar = double]'
../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<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >]'
../include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:241:71:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:250:81:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/Dot.h:50:23:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:250:81:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:250:81:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:250:81:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >'
../include/Eigen/src/Core/GeneralProduct.h:366:43:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; typename Dest::Scalar = double]'
../include/Eigen/src/Core/GeneralProduct.h:207:12:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:250:81:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from ../include/Eigen/Core:330:
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>':
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:147:40:   required from 'void Eigen::internal::evaluateProductBlockingSizesHeuristic(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long long int]'
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:342:81:   required from 'void Eigen::internal::computeProductBlockingSizes(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long long int]'
../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 = double; _RhsScalar = double; int MaxRows = -1; int MaxCols = -1; int MaxDepth = -1; int KcFactor = 1; Eigen::Index = long long int]'
../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::Matrix<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >]'
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:250:81:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs<double, long long int, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 4, 1, false, false>':
../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 = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]'
../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 = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product<long long int, double, 0, false, double, 1, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]'
../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<double, long long int, general_matrix_matrix_product<long long int, double, 0, false, double, 1, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]'
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >]'
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:250:81:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2504 |   typedef typename unpacket_traits<Packet>::half HalfPacket;
      |                                                  ^~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2505 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2508 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2509 |                  QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
      |                                                                      ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>':
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
../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 = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]'
../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 = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product<long long int, double, 0, false, double, 1, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]'
../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<double, long long int, general_matrix_matrix_product<long long int, double, 0, false, double, 1, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]'
../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:250:81:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>':
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
../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 = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]'
../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 = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product<long long int, double, 0, false, double, 1, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]'
../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<double, long long int, general_matrix_matrix_product<long long int, double, 0, false, double, 1, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]'
../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:250:81:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
../include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:253:45:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:253:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
../include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
../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<double, -1, -1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >; Rhs = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:253:45:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>'
../include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:253:45:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true> >'
../include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true, false>'
../include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true, Eigen::Dense>'
../include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>'
../include/Eigen/src/Core/Product.h:113:15:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:253:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true> >'
../include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, Eigen::Dense>'
../include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
../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<double, -1, -1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >; Rhs = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:253:45:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/LU/PartialPivLU.h:533:30:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/LU/PartialPivLU.h:133:14:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >'
../include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>'
../include/Eigen/src/LU/PartialPivLU.h:533:46:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/LU/PartialPivLU.h:315:10:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>'
../include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true, false>'
../include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
../include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true>'
../include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>'
../include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:241:71:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
../include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Scalar = double]'
../include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:241:71:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true, false>'
../include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
../include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true>'
../include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:241:71:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../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 = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]':
../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 = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]'
../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 = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product<long long int, double, 0, false, double, 1, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]'
../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<double, long long int, general_matrix_matrix_product<long long int, double, 0, false, double, 1, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]'
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >]'
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:250:81:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../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 = double; RhsScalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]':
../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 = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]'
../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 = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product<long long int, double, 0, false, double, 1, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]'
../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<double, long long int, general_matrix_matrix_product<long long int, double, 0, false, double, 1, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]'
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >]'
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:250:81:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
../include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../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_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:252:28:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
../include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../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_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:252:28:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >'
../include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false, false>'
../include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false, Eigen::Dense>'
../include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>'
../include/Eigen/src/Core/Product.h:113:15:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../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_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:252:28:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >'
../include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
../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<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../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_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:252:28:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
../include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../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_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:252:28:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
../include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../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_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:252:28:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../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_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:252:28:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
../include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
../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<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
../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::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/ProductEvaluators.h:163:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../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_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:252:28:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Matrix<double, -1, -1>, 1>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Matrix<double, -1, -1>, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Matrix<double, -1, -1>, 1> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Matrix<double, -1, -1>, 1, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Matrix<double, -1, -1>, 1>'
../include/Eigen/src/Core/ProductEvaluators.h:469:72:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:253:45:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Matrix<double, -1, -1>, 1> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Matrix<double, -1, -1>, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:253:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Matrix<double, -1, -1>, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Matrix<double, -1, -1>, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Matrix<double, -1, -1>, 1> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Matrix<double, -1, -1>, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Matrix<double, -1, -1>, 1> >'
../include/Eigen/src/Core/ProductEvaluators.h:469:55:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix<double, -1, -1>; LhsT = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; RhsT = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; Scalar = double; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >; Rhs = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/ProductEvaluators.h:446:22:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:253:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:253:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true> >'
../include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true, false>'
../include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true, Eigen::Dense>'
../include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true>'
../include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:253:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from ../include/Eigen/Core:333:
../include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 0>':
../include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
../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::Matrix<double, -1, -1>; Rhs = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
../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::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
../include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 1>':
../include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
../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::Matrix<double, -1, -1>; Rhs = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
../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::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
../include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 2>':
../include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
../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::Matrix<double, -1, -1>; Rhs = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
../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::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
../include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
../include/Eigen/src/Core/GeneralProduct.h:296:40:   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::Matrix<double, -1, -1>; Rhs = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
../include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, 1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:241:71:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> > >'
../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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:250:81:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> > >'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:250:81:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>'
../include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../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_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:252:28:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true, false>'
../include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
../include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true>'
../include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../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_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:252:28:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>'
../include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../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_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:252:28:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../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_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:252:28:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
../include/Eigen/src/Core/GeneralProduct.h:379:80:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:253:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
../include/Eigen/src/Core/GeneralProduct.h:379:59:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:253:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:253:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true> >'
../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::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:253:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> > >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >':
../include/Eigen/src/Core/Ref.h:44:50:   required from 'struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >'
../include/Eigen/src/Core/Ref.h:288:101:   required by substitution of 'template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>]'
../include/Eigen/src/LU/PartialPivLU.h:463:17:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
../include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
../include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/LU/PartialPivLU.h:133:14:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
../include/Eigen/src/LU/PartialPivLU.h:495:30:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/LU/PartialPivLU.h:587:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Eigen::PartialPivLU<MatrixType> >, Eigen::internal::assign_op<typename DstXprType::Scalar, typename Eigen::PartialPivLU<MatrixType>::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename Eigen::PartialPivLU<MatrixType>::Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > >; typename Eigen::PartialPivLU<MatrixType>::Scalar = double; typename DstXprType::Scalar = double]'
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
../include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
../include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/LU/PartialPivLU.h:587:39:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Eigen::PartialPivLU<MatrixType> >, Eigen::internal::assign_op<typename DstXprType::Scalar, typename Eigen::PartialPivLU<MatrixType>::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename Eigen::PartialPivLU<MatrixType>::Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > >; typename Eigen::PartialPivLU<MatrixType>::Scalar = double; typename DstXprType::Scalar = double]'
../include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >'
../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::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >'
../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::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >'
../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::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../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::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > >'
../include/Eigen/src/Core/GeneralProduct.h:379:80:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > > >'
../include/Eigen/src/Core/GeneralProduct.h:379:59:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; typename Dest::Scalar = double]'
../include/Eigen/src/Core/GeneralProduct.h:207:12:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >'
../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::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:241:71:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >'
../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::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:241:71:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >'
../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::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:241:71:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >'
../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::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:241:71:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>'
../include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; SrcXprType = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
../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<double, -1, -1>; Src = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../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::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:249:77:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
../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<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
../include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; SrcXprType = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
../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<double, -1, -1>; Src = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../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::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:249:77:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>'
../include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; SrcXprType = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
../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<double, -1, -1>; Src = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../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::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:249:77:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >'
../include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false, false>'
../include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false, Eigen::Dense>'
../include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>'
../include/Eigen/src/Core/Product.h:113:15:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; SrcXprType = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
../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<double, -1, -1>; Src = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../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::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:249:77:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >'
../include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
../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<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
../include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; SrcXprType = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
../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<double, -1, -1>; Src = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../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::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:249:77:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:250:81:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; CoeffReturnType = double; Eigen::Index = long long int]'
../include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:250:81:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
../include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../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_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:252:28:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
../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::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:253:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
../include/Eigen/src/Core/MapBase.h:268:7:   required from 'Eigen::MapBase<Derived, 1>::ScalarWithConstIfNotLvalue& Eigen::MapBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long long int]'
../include/Eigen/src/Core/GeneralProduct.h:379:20:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
../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::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >; Rhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >; Rhs = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:253:45:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true> >'
../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::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:253:45:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
../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::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:253:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:253:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
../include/Eigen/src/LU/PartialPivLU.h:377:43:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
../include/Eigen/src/LU/PartialPivLU.h:439:26:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>'
../include/Eigen/src/LU/PartialPivLU.h:400:114:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Scalar = double]'
../include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >]'
../include/Eigen/src/Core/GeneralProduct.h:278:57:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
../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>'
../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> > >'
../include/Eigen/src/Core/DenseCoeffsBase.h:391:7:   required from 'Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Core/GeneralProduct.h:379:20:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; typename Dest::Scalar = double]'
../include/Eigen/src/Core/GeneralProduct.h:207:12:   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::Matrix<double, 1, -1>; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../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,
      |                                                      ^~~~~~~~~
../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 = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
../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 = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]'
../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 = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product<long long int, double, 0, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]'
../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<double, long long int, general_matrix_matrix_product<long long int, double, 0, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]'
../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<double, -1, -1>; Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
../include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>'
../include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; SrcXprType = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
../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<double, -1, -1>; Src = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../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::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:249:77:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; SrcXprType = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
../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<double, -1, -1>; Src = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../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::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:249:77:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true, false>'
../include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
../include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true>'
../include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; SrcXprType = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
../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<double, -1, -1>; Src = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../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::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:249:77:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >'
../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::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../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_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:252:28:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
../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::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../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_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:252:28:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >'
../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::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../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_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:252:28:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
../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::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../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_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:252:28:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
../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<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../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_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:252:28:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../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_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:252:28:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
../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<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../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_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:252:28:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../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 = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]':
../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 = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]'
../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 = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product<long long int, double, 1, false, double, 0, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]'
../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<double, long long int, general_matrix_matrix_product<long long int, double, 1, false, double, 0, false, 0, 1>, Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]'
../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<double, -1, -1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >; Rhs = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:253:45:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2256 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2258 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2259 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2298 |               PacketBlock<HalfPacket> kernel_half;
      |                                       ^~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2304 |               PacketBlock<QuarterPacket> kernel_quarter;
      |                                          ^~~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >':
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >'
../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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >'
../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::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
../include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >'
../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::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > > > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > > > >'
../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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >'
../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::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
../include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >'
../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::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:241:71:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >'
../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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:250:81:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> > >'
../include/Eigen/src/Core/AssignEvaluator.h:774:20:   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::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >; Functor = add_assign_op<double, double>]'
../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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
../include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:250:81:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
../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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:253:45:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true> >'
../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::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
../include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true> > >'
../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::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true> > >'
../include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:253:45:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../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::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
../include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >'
../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::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
../include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:241:71:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >'
../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::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; SrcXprType = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
../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<double, -1, -1>; Src = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../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::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:249:77:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >'
../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::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; SrcXprType = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
../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<double, -1, -1>; Src = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../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::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:249:77:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >'
../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::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; SrcXprType = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
../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<double, -1, -1>; Src = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../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::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:249:77:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../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::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; SrcXprType = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
../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<double, -1, -1>; Src = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../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::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:249:77:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; SrcXprType = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
../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<double, -1, -1>; Src = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../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::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:249:77:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > > >'
../include/Eigen/src/Core/GeneralProduct.h:379:59:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; typename Dest::Scalar = double]'
../include/Eigen/src/Core/GeneralProduct.h:207:12:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; SrcXprType = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
../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<double, -1, -1>; Src = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../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::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:249:77:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >'
../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::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
../include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >'
../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::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../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_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:252:28:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
../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<double, -1, -1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
../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<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
../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<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../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_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:252:28:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
../include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
../include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
../include/Eigen/src/Core/Visitor.h:123:17:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
../include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
../include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
../include/Eigen/src/Core/Visitor.h:123:17:   required from 'void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]'
../include/Eigen/src/Core/Visitor.h:374:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>'
../include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>'
../include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >'
../include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false, false>'
../include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false, Eigen::Dense>'
../include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>'
../include/Eigen/src/Core/Product.h:113:15:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >'
../include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
../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<double, -1, -1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
../include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >':
../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::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op<double, double>]'
../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::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
../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, -1>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>]'
../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, -1>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../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<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>]'
../include/Eigen/src/Core/GeneralProduct.h:296:25:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:241:71:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>'
../include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:241:71:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>'
../include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:241:71:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
../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::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
../include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../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_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:252:28:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >'
../include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:253:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
../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::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; CoeffReturnType = double; Eigen::Index = long long int]'
../include/Eigen/src/Core/CoreEvaluators.h:769:69:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:253:45:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
../include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>'
../include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>'
../include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
../include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >':
../include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op<double>]'
../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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
../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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op<double>]'
../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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/DenseBase.h:424:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>]'
../include/Eigen/src/LU/PartialPivLU.h:483:24:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../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,
      |                                                      ^~~~~~~~~
../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 = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]':
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
../include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
../include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
../include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
../include/Eigen/src/LU/PartialPivLU.h:493:62:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
../include/Eigen/src/LU/PartialPivLU.h:519:17:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
../include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
../include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
../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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]'
../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
../include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
../include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
../include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
../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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]'
../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
../include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>'
../include/Eigen/src/Core/ProductEvaluators.h:469:72:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1> >'
../include/Eigen/src/Core/ProductEvaluators.h:469:55:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix<double, -1, -1>; LhsT = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; RhsT = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Func = Eigen::internal::assign_op<double, double>; Scalar = double; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
../include/Eigen/src/Core/ProductEvaluators.h:446:22:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true, false>'
../include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true, Eigen::Dense>'
../include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true>'
../include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >':
../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, -1>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
../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, -1>, 1, -1, true> > >'
../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, -1>, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >; Functor = add_assign_op<double, double>]'
../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, -1>, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
../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<double, -1, -1, 1, -1, -1>, 1, -1, true> >; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >; Func = add_assign_op<double, double>]'
../include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:241:71:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>'
../include/Eigen/src/Core/ProductEvaluators.h:469:72:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:241:71:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1> >'
../include/Eigen/src/Core/ProductEvaluators.h:469:55:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix<double, -1, -1>; LhsT = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; RhsT = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Func = Eigen::internal::assign_op<double, double>; Scalar = double; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
../include/Eigen/src/Core/ProductEvaluators.h:446:22:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:241:71:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >'
../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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; SrcXprType = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
../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<double, -1, -1>; Src = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../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::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:249:77:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >'
../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::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
../include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >'
../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::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; SrcXprType = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
../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<double, -1, -1>; Src = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../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::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:249:77:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > > > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > > > >'
../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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; SrcXprType = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
../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<double, -1, -1>; Src = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../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::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:249:77:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>'
../include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../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_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:252:28:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>'
../include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../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_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:252:28:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../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_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:252:28:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >'
../include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, Eigen::Dense>'
../include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
../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<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
../include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../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_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:252:28:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >':
../include/Eigen/src/Core/ProductEvaluators.h:274:18:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
../include/Eigen/src/Core/ProductEvaluators.h:329:41:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 5>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]'
../include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_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::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]'
../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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op<double, double>]'
../include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
../include/Eigen/src/LU/PartialPivLU.h:400:77:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
../include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
../include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
../include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >'
../include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true, false>'
../include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true, Eigen::Dense>'
../include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true>'
../include/Eigen/src/Core/GeneralProduct.h:366:52:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >'
../include/Eigen/src/Core/GeneralProduct.h:366:43:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >'
../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::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../include/Eigen/src/Core/GeneralProduct.h:379:80:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:241:71:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/GeneralProduct.h:379:59:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:241:71:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../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::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
../include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; SrcXprType = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
../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<double, -1, -1>; Src = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../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::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:249:77:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../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_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:252:28:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
../include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
../include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2>'
../include/Eigen/src/LU/PartialPivLU.h:234:28:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >'
../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::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >'
../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::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../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::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/GeneralProduct.h:379:59:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; typename Dest::Scalar = double]'
../include/Eigen/src/Core/GeneralProduct.h:207:12:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >'
../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::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:241:71:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../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::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:241:71:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>'
../include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; SrcXprType = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
../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<double, -1, -1>; Src = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../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::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:249:77:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>'
../include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; SrcXprType = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
../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<double, -1, -1>; Src = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../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::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:249:77:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/GeneralProduct.h:379:59:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../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_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:252:28:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >'
../include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../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_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:252:28:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
../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<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from 'ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double; Scalar = double]'
../include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
../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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/Dot.h:50:23:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
../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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>'
../include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; SrcXprType = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
../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<double, -1, -1>; Src = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../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::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:249:77:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >'
../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::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../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_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:252:28:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >'
../include/Eigen/src/Core/Dot.h:50:23:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../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_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:252:28:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../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::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../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_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:252:28:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > >'
../include/Eigen/src/Core/GeneralProduct.h:379:80:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../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_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:252:28:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> > > >'
../include/Eigen/src/Core/GeneralProduct.h:379:59:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; typename Dest::Scalar = double]'
../include/Eigen/src/Core/GeneralProduct.h:207:12:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../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_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:252:28:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >'
../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::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
../include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> > >'
../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::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Eigen::Index = long long int]':
../include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Scalar = double]'
../include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from 'ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double; Scalar = double]'
../include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
../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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
../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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
../include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
../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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; SrcXprType = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
../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<double, -1, -1>; Src = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../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::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:249:77:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; SrcXprType = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
../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<double, -1, -1>; Src = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../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::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:249:77:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > >'
../include/Eigen/src/Core/GeneralProduct.h:379:80:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; SrcXprType = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
../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<double, -1, -1>; Src = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../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::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:249:77:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > > >'
../include/Eigen/src/Core/GeneralProduct.h:379:59:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; typename Dest::Scalar = double]'
../include/Eigen/src/Core/GeneralProduct.h:207:12:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; SrcXprType = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
../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<double, -1, -1>; Src = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../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::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:249:77:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >'
../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::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
../include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> > >'
../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::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> > >'
../include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../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_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:252:28:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
../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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long long int]'
../include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >'
../include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; CoeffReturnType = double; Eigen::Index = long long int]'
../include/Eigen/src/Core/CoreEvaluators.h:769:69:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> > >'
../include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >; Functor = add_assign_op<double, double>]'
../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::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
../include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../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::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; CoeffReturnType = double; Eigen::Index = long long int]'
../include/Eigen/src/Core/CoreEvaluators.h:769:69:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:241:71:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >':
../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::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
../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::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
../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::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op<double, double>]'
../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::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]'
../include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, Eigen::internal::IndexBased, double>'
../include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > >'
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > >'
../include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_matinverse.cpp:153:29:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; CoeffReturnType = double; Eigen::Index = long long int]'
../include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; SrcXprType = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
../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<double, -1, -1>; Src = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../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::Transpose<const Eigen::Product<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_matinverse.cpp:249:77:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
../include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>'
../include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>'
../include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
../include/Eigen/src/Core/ProductEvaluators.h:1050:11:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
../include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Functor = assign_op<double, double>]'
../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::Matrix<double, -1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
../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::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Func = assign_op<double, double>]'
../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::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../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::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>]'
../include/Eigen/src/Core/Assign.h:66:28:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Inverse<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_matinverse.cpp:126:31:   required from here
../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,
      |                                                      ^~~~~~~~~
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DR_NO_REMAP -I"../include"    -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c nimDerivs_atomic_backsolve.cpp -o nimDerivs_atomic_backsolve.o
In file included from ../include/Eigen/Core:205,
                 from ../include/Eigen/Dense:1,
                 from ../include/nimble/EigenTypedefs.h:24,
                 from ../include/nimble/nimDerivs_vecmat_utils.h:5,
                 from ../include/nimble/nimDerivs_atomic_solve_base.h:9,
                 from ../include/nimble/nimDerivs_atomic_backsolve.h:4,
                 from nimDerivs_atomic_backsolve.cpp:1:
../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;
      |                                        ^
../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;
      |                                        ^
../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 }; };
      |                                       ^
../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 }; };
      |                                        ^
../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 }; };
      |                                        ^
../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> {
      |                                           ^
../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> {
      |                                           ^
../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) {
      |                                  ^
../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 ../include/Eigen/Core:174:
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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 ../include/Eigen/Core:165:
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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 ../include/Eigen/Core:271:
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
../include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
../include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
../include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
../include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
../include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:277:16:   required from 'class Eigen::HessenbergDecomposition<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/RealSchur.h:230:41:   required from 'class Eigen::RealSchur<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/EigenSolver.h:316:27:   required from 'class Eigen::EigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:156:47:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >'
../include/nimble/EigenTypedefs.h:156:68:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >'
../include/nimble/EigenTypedefs.h:161:35:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>'
../include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1> >'
../include/nimble/EigenTypedefs.h:163:16:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >'
../include/nimble/EigenTypedefs.h:173:58:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >'
../include/nimble/EigenTypedefs.h:175:38:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>'
../include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >'
../include/nimble/nimDerivs_atomic_matmult.h:144:53:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>'
../include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >'
../include/nimble/nimDerivs_atomic_matmult.h:147:48:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>'
../include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
nimDerivs_atomic_solve_generic.cpp:77:12:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>'
nimDerivs_atomic_solve_generic.cpp:124:16:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
nimDerivs_atomic_solve_generic.cpp:124:16:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> > > >'
../include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >, Eigen::Dense>'
../include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> > >'
nimDerivs_atomic_solve_generic.cpp:124:16:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> > >'
../include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Dense>'
../include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
nimDerivs_atomic_solve_generic.cpp:130:17:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >'
nimDerivs_atomic_solve_generic.cpp:130:65:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
nimDerivs_atomic_solve_generic.cpp:327:20:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>'
../include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
nimDerivs_atomic_solve_generic.cpp:327:20:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
nimDerivs_atomic_solve_generic.cpp:331:17:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>'
nimDerivs_atomic_solve_generic.cpp:331:17:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Matrix<double, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Matrix<double, -1, -1> >'
nimDerivs_atomic_solve_generic.cpp:372:23:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >'
nimDerivs_atomic_solve_generic.cpp:372:23:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
../include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
../include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
nimDerivs_atomic_solve_generic.cpp:372:23:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
../include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
../include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
nimDerivs_atomic_solve_generic.cpp:372:23:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
nimDerivs_atomic_solve_generic.cpp:373:80:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
nimDerivs_atomic_backsolve.cpp: In function 'void atomic_backsolve(const MatrixXd_CppAD&, const MatrixXd_CppAD&, MatrixXd_CppAD&)':
nimDerivs_atomic_backsolve.cpp:290:15: warning: comparison of integer expressions of different signedness: 'Eigen::Index' {aka 'long long int'} and 'size_t' {aka 'long long unsigned int'} [-Wsign-compare]
  290 |   if(A.cols() != n1)
      |      ~~~~~~~~~^~~~~
nimDerivs_atomic_backsolve.cpp:292:15: warning: comparison of integer expressions of different signedness: 'Eigen::Index' {aka 'long long int'} and 'size_t' {aka 'long long unsigned int'} [-Wsign-compare]
  292 |   if(B.rows() != n1)
      |      ~~~~~~~~~^~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
../include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:327:59:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>'
../include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from ../include/Eigen/Core:277:
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
../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<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
../include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>'
../include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >'
../include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
../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<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
../include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>'
../include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1>; Scalar = double]'
../include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from ../include/Eigen/Core:330:
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>':
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:64:27:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
../include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 2]'
../include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]'
../include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]'
../include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:77:37:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>':
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
../include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 2]'
../include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]'
../include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]'
../include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:77:37:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>':
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
../include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 2]'
../include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]'
../include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]'
../include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:77:37:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
In file included from ../include/Eigen/Core:333:
../include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 0>':
../include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
../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::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
../include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 1>':
../include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
../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::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
../include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 2>':
../include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
../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::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
../include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
../include/Eigen/src/Core/GeneralProduct.h:296:40:   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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../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>':
../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>'
../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>'
../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> > >'
../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> > >'
../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>'
../include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >'
../include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>'
../include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >'
../include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
../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<double, -1, -1>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >]'
../include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>'
../include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::DenseShape, Eigen::DenseShape, 7>'
../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<double, -1, -1>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >]'
../include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../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,
      |                                                      ^~~~~~~~~
../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 = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]':
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
../include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 2]'
../include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]'
../include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]'
../include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:77:37:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
../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 = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]':
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
../include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 2]'
../include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]'
../include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]'
../include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:77:37:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../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 = double; RhsScalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]':
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
../include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 2]'
../include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]'
../include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]'
../include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:77:37:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
../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 = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]':
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
../include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 1]'
../include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; unsigned int _Mode = 1]'
../include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; unsigned int _Mode = 1]'
../include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:327:59:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2256 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2258 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2259 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2298 |               PacketBlock<HalfPacket> kernel_half;
      |                                       ^~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2304 |               PacketBlock<QuarterPacket> kernel_quarter;
      |                                          ^~~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>'
../include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>]'
../include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:331:17:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>'
../include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>]'
../include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:331:17:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >'
../include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false, false>'
../include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false, Eigen::Dense>'
../include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>'
../include/Eigen/src/Core/Product.h:113:15:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>]'
../include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:331:17:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >'
../include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::DenseShape, Eigen::DenseShape, 7>'
../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<double, -1, -1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >]'
../include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>]'
../include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:331:17:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs<double, long long int, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 4, 1, false, false>':
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:232:74:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, Side, Mode, Conjugate, TriStorageOrder, 1, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Side = 1; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
../include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; int Side = 1; int Mode = 2]'
../include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]'
../include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]'
../include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1, 1, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:373:68:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2504 |   typedef typename unpacket_traits<Packet>::half HalfPacket;
      |                                                  ^~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2505 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2508 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2509 |                  QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
      |                                                                      ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs<double, long long int, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 4, 1, false, true>':
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, Side, Mode, Conjugate, TriStorageOrder, 1, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Side = 1; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
../include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; int Side = 1; int Mode = 2]'
../include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]'
../include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]'
../include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1, 1, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:373:68:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2504 |   typedef typename unpacket_traits<Packet>::half HalfPacket;
      |                                                  ^~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2505 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2508 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2509 |                  QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
      |                                                                      ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >'
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/Dot.h:50:23:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> > >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> > >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> > > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> > >'
../include/Eigen/src/Core/GeneralProduct.h:379:80:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> > > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> > > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> > > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> > >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> > > >'
../include/Eigen/src/Core/GeneralProduct.h:379:59:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; typename Dest::Scalar = double]'
../include/Eigen/src/Core/GeneralProduct.h:207:12:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>'
../include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>]'
../include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:331:17:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1> >'
../include/Eigen/src/Core/ProductEvaluators.h:469:55:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix<double, -1, -1>; LhsT = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; RhsT = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = Eigen::internal::assign_op<double, double>; Scalar = double; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >]'
../include/Eigen/src/Core/ProductEvaluators.h:446:22:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>]'
../include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:331:17:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true, false>'
../include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true, Eigen::Dense>'
../include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true>'
../include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>]'
../include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:331:17:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../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 = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]':
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, Side, Mode, Conjugate, TriStorageOrder, 1, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Side = 1; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
../include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; int Side = 1; int Mode = 2]'
../include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]'
../include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]'
../include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1, 1, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:373:68:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Scalar = double]'
../include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >]'
../include/Eigen/src/Core/GeneralProduct.h:278:57:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
../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>'
../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> > >'
../include/Eigen/src/Core/DenseCoeffsBase.h:391:7:   required from 'Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Core/GeneralProduct.h:379:20:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; typename Dest::Scalar = double]'
../include/Eigen/src/Core/GeneralProduct.h:207:12:   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::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../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,
      |                                                      ^~~~~~~~~
../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 = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
../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 = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]'
../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 = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product<long long int, double, 0, false, double, 0, false, 0, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]'
../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<double, long long int, general_matrix_matrix_product<long long int, double, 0, false, double, 0, false, 0, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]'
../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<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
../include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../include/Eigen/src/Core/GeneralProduct.h:366:43:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >'
../include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >'
../include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true, false>'
../include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true, Eigen::Dense>'
../include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true>'
../include/Eigen/src/Core/GeneralProduct.h:366:52:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>]'
../include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:331:17:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >'
../include/Eigen/src/Core/GeneralProduct.h:366:43:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>]'
../include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:331:17:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >'
../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::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = false; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>]'
../include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:331:17:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >'
../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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true> >'
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
../include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true> > >'
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> > > > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> > > > >'
../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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, 0>':
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, 2>'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> > >'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >'
../include/Eigen/src/Core/GeneralProduct.h:366:43:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; typename Dest::Scalar = double]'
../include/Eigen/src/Core/GeneralProduct.h:207:12:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >'
../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::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>]'
../include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:331:17:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >'
../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::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>]'
../include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:331:17:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >'
../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::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>]'
../include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:331:17:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; CoeffReturnType = double; Eigen::Index = long long int]'
../include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
../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::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op<double, double>]'
../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::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
../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, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>]'
../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, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../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<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]'
../include/Eigen/src/Core/GeneralProduct.h:296:25:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> > >'
../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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >':
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> > >'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >'
../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::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
../include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> > >'
../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::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>]'
../include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:331:17:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; CoeffReturnType = double; Eigen::Index = long long int]'
../include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >; Functor = add_assign_op<double, double>]'
../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::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
../include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> > >'
../include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >; Functor = add_assign_op<double, double>]'
../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::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
../include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>]'
../include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:331:17:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >'
../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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> > >'
../include/Eigen/src/Core/AssignEvaluator.h:774:20:   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::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >; Functor = add_assign_op<double, double>]'
../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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
../include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 2>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:130:64:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:130:64:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> >'
../include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false, false>'
../include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false, Eigen::Dense>'
../include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:130:64:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:130:64:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:130:64:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:130:64:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 64>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 8, 8, 0, 8, 8>'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:130:64:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
../include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:130:64:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:130:64:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 8>':
../include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:130:64:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
../include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>; Scalar = double]'
../include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:130:64:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
../include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; Scalar = double]'
../include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:130:64:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:130:64:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> >':
../include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
../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::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
../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::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Func = sub_assign_op<double, double>]'
../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::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:130:64:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >':
../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::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
../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::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
../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::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Func = sub_assign_op<double, double>]'
../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::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:130:64:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> > >'
../include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
../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::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
../include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:130:64:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >':
../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::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
../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::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
../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, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Func = sub_assign_op<double, double>]'
../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, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:130:64:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DR_NO_REMAP -I"../include"    -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c nimDerivs_atomic_forwardsolve.cpp -o nimDerivs_atomic_forwardsolve.o
In file included from ../include/Eigen/Core:205,
                 from ../include/Eigen/Dense:1,
                 from ../include/nimble/EigenTypedefs.h:24,
                 from ../include/nimble/nimDerivs_vecmat_utils.h:5,
                 from ../include/nimble/nimDerivs_atomic_solve_base.h:9,
                 from ../include/nimble/nimDerivs_atomic_forwardsolve.h:4,
                 from nimDerivs_atomic_forwardsolve.cpp:1:
../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;
      |                                        ^
../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;
      |                                        ^
../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 }; };
      |                                       ^
../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 }; };
      |                                        ^
../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 }; };
      |                                        ^
../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> {
      |                                           ^
../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> {
      |                                           ^
../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) {
      |                                  ^
../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 ../include/Eigen/Core:174:
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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 ../include/Eigen/Core:165:
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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 ../include/Eigen/Core:271:
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
../include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
../include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
../include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
../include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
../include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:277:16:   required from 'class Eigen::HessenbergDecomposition<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/RealSchur.h:230:41:   required from 'class Eigen::RealSchur<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/EigenSolver.h:316:27:   required from 'class Eigen::EigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:156:47:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >'
../include/nimble/EigenTypedefs.h:156:68:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >'
../include/nimble/EigenTypedefs.h:161:35:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>'
../include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1> >'
../include/nimble/EigenTypedefs.h:163:16:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >'
../include/nimble/EigenTypedefs.h:173:58:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >'
../include/nimble/EigenTypedefs.h:175:38:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>'
../include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >'
../include/nimble/nimDerivs_atomic_matmult.h:144:53:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>'
../include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >'
../include/nimble/nimDerivs_atomic_matmult.h:147:48:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>'
../include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
nimDerivs_atomic_solve_generic.cpp:77:12:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>'
nimDerivs_atomic_solve_generic.cpp:124:16:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
nimDerivs_atomic_solve_generic.cpp:124:16:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> > > >'
../include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >, Eigen::Dense>'
../include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> > >'
nimDerivs_atomic_solve_generic.cpp:124:16:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> > >'
../include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, Eigen::Dense>'
../include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
nimDerivs_atomic_solve_generic.cpp:130:17:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >'
nimDerivs_atomic_solve_generic.cpp:130:65:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
nimDerivs_atomic_solve_generic.cpp:327:20:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>'
../include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
nimDerivs_atomic_solve_generic.cpp:327:20:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
nimDerivs_atomic_solve_generic.cpp:331:17:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>'
nimDerivs_atomic_solve_generic.cpp:331:17:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Matrix<double, -1, -1> >'
nimDerivs_atomic_solve_generic.cpp:372:23:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >'
nimDerivs_atomic_solve_generic.cpp:372:23:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
../include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
../include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
nimDerivs_atomic_solve_generic.cpp:372:23:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
../include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
../include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
nimDerivs_atomic_solve_generic.cpp:372:23:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
nimDerivs_atomic_solve_generic.cpp:373:80:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
../include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:327:59:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>'
../include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from ../include/Eigen/Core:277:
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
../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<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
../include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>'
../include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >'
../include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
../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<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
../include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>'
../include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1>; Scalar = double]'
../include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from ../include/Eigen/Core:330:
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>':
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:64:27:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
../include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 1]'
../include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 1]'
../include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 1]'
../include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:77:37:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>':
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
../include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 1]'
../include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 1]'
../include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 1]'
../include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:77:37:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>':
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
../include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 1]'
../include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 1]'
../include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 1]'
../include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:77:37:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
In file included from ../include/Eigen/Core:333:
../include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 0>':
../include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
../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::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
../include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 1>':
../include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
../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::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
../include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 2>':
../include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
../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::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
../include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
../include/Eigen/src/Core/GeneralProduct.h:296:40:   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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../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>':
../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>'
../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>'
../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> > >'
../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> > >'
../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>'
../include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >'
../include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>'
../include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >'
../include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
../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<double, -1, -1>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >]'
../include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>'
../include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::DenseShape, Eigen::DenseShape, 7>'
../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<double, -1, -1>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >]'
../include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../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,
      |                                                      ^~~~~~~~~
../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 = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]':
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
../include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 1]'
../include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 1]'
../include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 1]'
../include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:77:37:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
../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 = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]':
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
../include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 1]'
../include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 1]'
../include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 1]'
../include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:77:37:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../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 = double; RhsScalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]':
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
../include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 1]'
../include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 1]'
../include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 1]'
../include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:77:37:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
../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 = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]':
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
../include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 2]'
../include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; unsigned int _Mode = 2]'
../include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; unsigned int _Mode = 2]'
../include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:327:59:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2256 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2258 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2259 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2298 |               PacketBlock<HalfPacket> kernel_half;
      |                                       ^~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2304 |               PacketBlock<QuarterPacket> kernel_quarter;
      |                                          ^~~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>'
../include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>]'
../include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:331:17:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>'
../include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>]'
../include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:331:17:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >'
../include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false, false>'
../include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false, Eigen::Dense>'
../include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>'
../include/Eigen/src/Core/Product.h:113:15:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>]'
../include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:331:17:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >'
../include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::DenseShape, Eigen::DenseShape, 7>'
../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<double, -1, -1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >]'
../include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>]'
../include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:331:17:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs<double, long long int, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 4, 1, false, false>':
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:232:74:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, Side, Mode, Conjugate, TriStorageOrder, 1, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Side = 1; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
../include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; int Side = 1; int Mode = 1]'
../include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 1]'
../include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 1]'
../include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1, 1, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:373:68:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2504 |   typedef typename unpacket_traits<Packet>::half HalfPacket;
      |                                                  ^~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2505 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2508 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2509 |                  QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
      |                                                                      ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs<double, long long int, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 4, 1, false, true>':
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, Side, Mode, Conjugate, TriStorageOrder, 1, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Side = 1; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
../include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; int Side = 1; int Mode = 1]'
../include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 1]'
../include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 1]'
../include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1, 1, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:373:68:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2504 |   typedef typename unpacket_traits<Packet>::half HalfPacket;
      |                                                  ^~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2505 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2508 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2509 |                  QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
      |                                                                      ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >'
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/Dot.h:50:23:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> > >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> > >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> > > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> > >'
../include/Eigen/src/Core/GeneralProduct.h:379:80:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> > > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> > > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> > > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> > >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> > > >'
../include/Eigen/src/Core/GeneralProduct.h:379:59:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; typename Dest::Scalar = double]'
../include/Eigen/src/Core/GeneralProduct.h:207:12:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>'
../include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>]'
../include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:331:17:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1> >'
../include/Eigen/src/Core/ProductEvaluators.h:469:55:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix<double, -1, -1>; LhsT = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; RhsT = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Func = Eigen::internal::assign_op<double, double>; Scalar = double; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >]'
../include/Eigen/src/Core/ProductEvaluators.h:446:22:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>]'
../include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:331:17:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true, false>'
../include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true, Eigen::Dense>'
../include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true>'
../include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>]'
../include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:331:17:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../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 = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]':
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, Side, Mode, Conjugate, TriStorageOrder, 1, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Side = 1; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
../include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; int Side = 1; int Mode = 1]'
../include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 1]'
../include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 1]'
../include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1, 1, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:373:68:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >; Scalar = double]'
../include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >]'
../include/Eigen/src/Core/GeneralProduct.h:278:57:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
../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>'
../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> > >'
../include/Eigen/src/Core/DenseCoeffsBase.h:391:7:   required from 'Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Core/GeneralProduct.h:379:20:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; typename Dest::Scalar = double]'
../include/Eigen/src/Core/GeneralProduct.h:207:12:   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::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../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,
      |                                                      ^~~~~~~~~
../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 = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
../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 = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]'
../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 = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product<long long int, double, 0, false, double, 0, false, 0, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]'
../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<double, long long int, general_matrix_matrix_product<long long int, double, 0, false, double, 0, false, 0, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]'
../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<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
../include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../include/Eigen/src/Core/GeneralProduct.h:366:43:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >'
../include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >'
../include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true, false>'
../include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true, Eigen::Dense>'
../include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true>'
../include/Eigen/src/Core/GeneralProduct.h:366:52:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>]'
../include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:331:17:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >'
../include/Eigen/src/Core/GeneralProduct.h:366:43:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>]'
../include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:331:17:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >'
../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::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = false; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>]'
../include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:331:17:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> > >'
../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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true> >'
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
../include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true> > >'
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> > > > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> > > > >'
../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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, 0>':
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, 2>'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> > >'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >'
../include/Eigen/src/Core/GeneralProduct.h:366:43:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; typename Dest::Scalar = double]'
../include/Eigen/src/Core/GeneralProduct.h:207:12:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >'
../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::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>]'
../include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:331:17:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >'
../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::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>]'
../include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:331:17:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >'
../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::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>]'
../include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:331:17:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; CoeffReturnType = double; Eigen::Index = long long int]'
../include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
../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::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op<double, double>]'
../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::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
../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, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>]'
../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, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../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<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]'
../include/Eigen/src/Core/GeneralProduct.h:296:25:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Func = sub_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:373:85:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> > >'
../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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >':
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> > >'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >'
../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::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
../include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> > >'
../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::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>]'
../include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:331:17:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; CoeffReturnType = double; Eigen::Index = long long int]'
../include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >; Functor = add_assign_op<double, double>]'
../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::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
../include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> > >'
../include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >; Functor = add_assign_op<double, double>]'
../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::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
../include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>]'
../include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:331:17:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> > >'
../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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> > >'
../include/Eigen/src/Core/AssignEvaluator.h:774:20:   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::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >; Functor = add_assign_op<double, double>]'
../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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
../include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/TriangularMatrix.h:807:20:   required from 'void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 1; bool SetOpposite = true; DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = sub_assign_op<double, double>]'
../include/Eigen/src/Core/TriangularMatrix.h:856:103:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Triangular2Dense>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; SrcXprType = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Functor = Eigen::internal::sub_assign_op<double, double>]'
../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<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>]'
../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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::TriangularShape]'
../include/Eigen/src/Core/EigenBase.h:154:18:   required from 'Derived& Eigen::DenseBase<Derived>::operator-=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_solve_generic.cpp:380:23:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:130:64:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:130:64:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> >'
../include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false, false>'
../include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false, Eigen::Dense>'
../include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:130:64:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:130:64:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:130:64:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:130:64:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 64>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 8, 8, 0, 8, 8>'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:130:64:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
../include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:130:64:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:130:64:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 8>':
../include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:130:64:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
../include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>; Scalar = double]'
../include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:130:64:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
../include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; Scalar = double]'
../include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:130:64:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:130:64:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> >':
../include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
../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::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
../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::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Func = sub_assign_op<double, double>]'
../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::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:130:64:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >':
../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::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
../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::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
../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::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Func = sub_assign_op<double, double>]'
../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::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:130:64:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> > >'
../include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
../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::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
../include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:130:64:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >':
../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::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
../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::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
../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, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Func = sub_assign_op<double, double>]'
../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, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Product<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0> >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_solve_generic.cpp:130:64:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DR_NO_REMAP -I"../include"    -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c nimDerivs_atomic_cholesky.cpp -o nimDerivs_atomic_cholesky.o
In file included from ../include/Eigen/Core:205,
                 from ../include/Eigen/Dense:1,
                 from ../include/nimble/EigenTypedefs.h:24,
                 from ../include/nimble/nimDerivs_vecmat_utils.h:5,
                 from ../include/nimble/nimDerivs_atomic_cholesky.h:9,
                 from nimDerivs_atomic_cholesky.cpp:1:
../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;
      |                                        ^
../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;
      |                                        ^
../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 }; };
      |                                       ^
../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 }; };
      |                                        ^
../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 }; };
      |                                        ^
../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> {
      |                                           ^
../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> {
      |                                           ^
../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) {
      |                                  ^
../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 ../include/Eigen/Core:174:
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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 ../include/Eigen/Core:165:
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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 ../include/Eigen/Core:271:
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
../include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
../include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
../include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
../include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
../include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:277:16:   required from 'class Eigen::HessenbergDecomposition<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/RealSchur.h:230:41:   required from 'class Eigen::RealSchur<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/EigenSolver.h:316:27:   required from 'class Eigen::EigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:156:47:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >'
../include/nimble/EigenTypedefs.h:156:68:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >'
../include/nimble/EigenTypedefs.h:161:35:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>'
../include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1> >'
../include/nimble/EigenTypedefs.h:163:16:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >'
../include/nimble/EigenTypedefs.h:173:58:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >'
../include/nimble/EigenTypedefs.h:175:38:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>'
../include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >'
../include/nimble/nimDerivs_atomic_matmult.h:144:53:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>'
../include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >'
../include/nimble/nimDerivs_atomic_matmult.h:147:48:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
nimDerivs_atomic_cholesky.cpp:245:21:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Matrix<double, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Matrix<double, -1, -1> >'
nimDerivs_atomic_cholesky.cpp:246:66:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >'
nimDerivs_atomic_cholesky.cpp:246:93:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
../include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
../include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
nimDerivs_atomic_cholesky.cpp:245:60:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
../include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
../include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
nimDerivs_atomic_cholesky.cpp:245:60:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>'
nimDerivs_atomic_cholesky.cpp:261:67:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
nimDerivs_atomic_cholesky.cpp:386:65:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>'
nimDerivs_atomic_cholesky.cpp:386:106:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >'
nimDerivs_atomic_cholesky.cpp:394:90:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
../include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
../include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
nimDerivs_atomic_cholesky.cpp:394:67:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
nimDerivs_atomic_cholesky.cpp:394:111:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > > >'
../include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Dense>'
../include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
nimDerivs_atomic_cholesky.cpp:393:93:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
nimDerivs_atomic_cholesky.cpp:462:105:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > > >'
../include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
../include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
nimDerivs_atomic_cholesky.cpp:462:87:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>'
nimDerivs_atomic_cholesky.cpp:462:107:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
../include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>'
../include/Eigen/src/Cholesky/LLT.h:448:33:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>'
../include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>'
../include/Eigen/src/Cholesky/LLT.h:448:43:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>'
../include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>'
../include/Eigen/src/Cholesky/LLT.h:448:91:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>'
../include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, -1>'
../include/Eigen/src/Cholesky/LLT.h:448:101:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
../include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Cholesky/LLT.h:448:74:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
../include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Cholesky/LLT.h:448:125:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from ../include/Eigen/Core:277:
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
../include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
../include/Eigen/src/Core/Redux.h:414:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Cholesky/LLT.h:448:74:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
../include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
../include/Eigen/src/Core/Redux.h:414:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Cholesky/LLT.h:448:74:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
../include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
../include/Eigen/src/Core/Redux.h:414:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Cholesky/LLT.h:448:125:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
../include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
../include/Eigen/src/Core/Redux.h:414:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Cholesky/LLT.h:448:125:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
../include/Eigen/src/Cholesky/LLT.h:332:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>'
../include/Eigen/src/Cholesky/LLT.h:332:45:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >'
../include/Eigen/src/Cholesky/LLT.h:332:58:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>'
../include/Eigen/src/Cholesky/LLT.h:332:45:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
../include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Cholesky/LLT.h:328:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Scalar = double]'
../include/Eigen/src/Cholesky/LLT.h:333:21:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >'
../include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Cholesky/LLT.h:328:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, -1, 1, true>, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, -1, 1, true>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, -1, 1, true>, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, -1, 1, true>, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, -1, 1, true>, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, -1, 1, true>, 0>'
../include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:462:115:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, -1, 1, true> >'
../include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, -1, 1, true, false>'
../include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, -1, 1, true, Eigen::Dense>'
../include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, -1, 1, true>'
../include/Eigen/src/Core/Product.h:114:15:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:462:115:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, -1, 1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, -1, 1, true> >'
../include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, const Eigen::Block<const Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >; Scalar = double]'
../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:462:115:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0, 7>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>'
../include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:462:115:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:462:115:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >'
../include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, Eigen::DenseShape, Eigen::DenseShape, 7>'
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >; Scalar = double]'
../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:462:115:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]':
../include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]'
../include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Cholesky/LLT.h:448:74:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
../include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Matrix<double, -1, -1> >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Matrix<double, -1, -1> >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:246:81:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 1>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 1> >'
../include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 1, 8>'
../include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 1, Eigen::Dense>'
../include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 1>'
../include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:462:115:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1>; Scalar = double]'
../include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:462:115:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, -1, 1, true>, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, -1, 1, true>, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, -1, 1, true>, -1, 1, true> >'
../include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, -1, 1, true>, -1, 1, true, false>'
../include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, -1, 1, true>, -1, 1, true, Eigen::Dense>'
../include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, -1, 1, true>, -1, 1, true>'
../include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:462:115:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:462:115:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, Eigen::internal::IndexBased, double>'
../include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
../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<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >':
../include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
../include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_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::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Lhs = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>]'
../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::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>; Func = sub_assign_op<double, double>]'
../include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
../include/Eigen/src/Cholesky/LLT.h:332:38:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >'
../include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
../include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
../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<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false> >':
../include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
../include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_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::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>]'
../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::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op<double, double>]'
../include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
../include/Eigen/src/Cholesky/LLT.h:332:38:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from ../include/Eigen/Core:330:
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>':
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:64:27:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, Side, Mode, Conjugate, TriStorageOrder, 1, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Side = 2; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
../include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; int Side = 2; int Mode = 2]'
../include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >; unsigned int _Mode = 2]'
../include/Eigen/src/Cholesky/LLT.h:364:96:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>':
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, Side, Mode, Conjugate, TriStorageOrder, 1, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Side = 2; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
../include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; int Side = 2; int Mode = 2]'
../include/Eigen/src/Core/SolveTriangular.h:182:21:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>':
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, Side, Mode, Conjugate, TriStorageOrder, 1, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Side = 2; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
../include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; int Side = 2; int Mode = 2]'
../include/Eigen/src/Core/SolveTriangular.h:182:21:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:462:115:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:462:115:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../include/Eigen/src/Core/GeneralProduct.h:366:43:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:462:115:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../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>':
../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>'
../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>'
../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> > >'
../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> > >'
../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>'
../include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:462:115:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >'
../include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:462:115:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../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 = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]':
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, Side, Mode, Conjugate, TriStorageOrder, 1, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Side = 2; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
../include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; int Side = 2; int Mode = 2]'
../include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >; unsigned int _Mode = 2]'
../include/Eigen/src/Cholesky/LLT.h:364:96:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
../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 = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]':
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, Side, Mode, Conjugate, TriStorageOrder, 1, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Side = 2; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
../include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; int Side = 2; int Mode = 2]'
../include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >; unsigned int _Mode = 2]'
../include/Eigen/src/Cholesky/LLT.h:364:96:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2256 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2258 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2259 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2298 |               PacketBlock<HalfPacket> kernel_half;
      |                                       ^~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2304 |               PacketBlock<QuarterPacket> kernel_quarter;
      |                                          ^~~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../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 = double; RhsScalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]':
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, Side, Mode, Conjugate, TriStorageOrder, 1, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Side = 2; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
../include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; int Side = 2; int Mode = 2]'
../include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >; unsigned int _Mode = 2]'
../include/Eigen/src/Cholesky/LLT.h:364:96:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
../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 = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
../include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
../include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:53:12:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 1, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<RhsScalar, LhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]'
../include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   required from 'static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; OtherType = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; int UpLo = 1; typename MatrixType::Scalar = double]'
../include/Eigen/src/Core/products/SelfadjointProduct.h:126:62:   required from 'Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]'
../include/Eigen/src/Cholesky/LLT.h:365:64:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 16>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
../include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; ResScalar = double]'
../include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]'
../include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:53:12:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
../include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, -1, 1, true>, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, -1, 1, true>, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, -1, 1, true>, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, -1, 1, true>, -1, 1, true> >'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:462:115:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/Dot.h:50:23:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:462:115:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, -1, 1, true> >'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:462:115:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from ../include/Eigen/Core:333:
../include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 0>':
../include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, false, 0>'
../include/Eigen/src/Core/GeneralProduct.h:347:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; typename Dest::Scalar = double]'
../include/Eigen/src/Core/GeneralProduct.h:207:12:   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::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]'
../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::Matrix<double, -1, -1>, 1, -1, false>; Lhs = const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>; Rhs = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >; Scalar = double]'
../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:462:115:   required from here
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 1>':
../include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, false, 0>'
../include/Eigen/src/Core/GeneralProduct.h:347:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; typename Dest::Scalar = double]'
../include/Eigen/src/Core/GeneralProduct.h:207:12:   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::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]'
../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::Matrix<double, -1, -1>, 1, -1, false>; Lhs = const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>; Rhs = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >; Scalar = double]'
../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:462:115:   required from here
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 2>':
../include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, false, 0>'
../include/Eigen/src/Core/GeneralProduct.h:347:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; typename Dest::Scalar = double]'
../include/Eigen/src/Core/GeneralProduct.h:207:12:   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::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]'
../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::Matrix<double, -1, -1>, 1, -1, false>; Lhs = const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>; Rhs = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >; Scalar = double]'
../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<double, -1, -1>; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >; Scalar = double]'
../include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:462:115:   required from here
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:462:115:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; Eigen::Index = long long int]':
../include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >; Scalar = double]'
../include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Cholesky/LLT.h:328:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >':
../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::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = div_assign_op<double, double>]'
../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::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
../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::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>]'
../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::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Scalar = double]'
../include/Eigen/src/Cholesky/LLT.h:333:21:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >; Eigen::Index = long long int]':
../include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >; Scalar = double]'
../include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Cholesky/LLT.h:328:36:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >':
../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::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = div_assign_op<double, double>]'
../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::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
../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::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>]'
../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::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Scalar = double]'
../include/Eigen/src/Cholesky/LLT.h:333:21:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_cholesky.cpp:261:67:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_cholesky.cpp:261:67:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:783:113:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_cholesky.cpp:261:67:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> >'
../include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false, false>'
../include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false, Eigen::Dense>'
../include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_cholesky.cpp:261:67:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_cholesky.cpp:261:67:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_cholesky.cpp:261:67:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = false; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:783:113:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_cholesky.cpp:261:67:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs<double, long long int, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 4, 1, false, false>':
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:232:74:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, Side, Mode, Conjugate, TriStorageOrder, 1, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Side = 1; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
../include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; int Side = 1; int Mode = 2]'
../include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]'
../include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]'
../include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1, 1, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:394:99:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2504 |   typedef typename unpacket_traits<Packet>::half HalfPacket;
      |                                                  ^~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2505 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2508 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2509 |                  QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
      |                                                                      ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs<double, long long int, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 4, 1, false, true>':
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, Side, Mode, Conjugate, TriStorageOrder, 1, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Side = 1; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
../include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; int Side = 1; int Mode = 2]'
../include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]'
../include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]'
../include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1, 1, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:394:99:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2504 |   typedef typename unpacket_traits<Packet>::half HalfPacket;
      |                                                  ^~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2505 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2508 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2509 |                  QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
      |                                                                      ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../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 = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]':
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
../include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 2]'
../include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]'
../include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int _Mode = 2]'
../include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:395:23:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, -1, 1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, -1, 1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, -1, 1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >'
../include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Scalar = double]'
../include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]'
../include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../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 = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = true]':
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:260:25:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, Side, Mode, Conjugate, TriStorageOrder, 1, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Side = 1; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
../include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; int Side = 1; int Mode = 1]'
../include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; unsigned int _Mode = 1]'
../include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; unsigned int _Mode = 1]'
../include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1, 1, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:247:18:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
../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 = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]':
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
../include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, Side, Mode, Conjugate, TriStorageOrder, 1, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Side = 1; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
../include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; Rhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; int Side = 1; int Mode = 1]'
../include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; unsigned int _Mode = 1]'
../include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; _MatrixType = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; unsigned int _Mode = 1]'
../include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1, 1, -1, -1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
../include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >; EvalReturnType = const Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:247:18:   required from here
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
../include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_cholesky.cpp:261:67:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, -1, 1, true>, -1, 1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, -1, 1, true>, -1, 1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, -1, 1, true>, -1, 1, true> > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, -1, 1, true>, -1, 1, true> > >'
../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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:462:115:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> > >'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:462:115:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, -1, 1, true>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, -1, 1, true>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, -1, 1, true>, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:462:115:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; CoeffReturnType = double; Eigen::Index = long long int]'
../include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:462:115:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, true> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, true> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, true>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/Dot.h:50:23:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, -1, 1, true> >'
../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<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, true>, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/Dot.h:50:23:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
../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<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>; Scalar = double]'
../include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:42:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_cholesky.cpp:261:67:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> > >'
../include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >; Functor = add_assign_op<double, double>]'
../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::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
../include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:462:115:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
../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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../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<double, -1, -1>; Src = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Func = assign_op<double, double>]'
../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<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; OtherDerived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/DenseBase.h:412:48:   required from 'Eigen::DenseBase<Derived>::EvalReturnType Eigen::DenseBase<Derived>::eval() const [with Derived = Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Solve<Eigen::TriangularView<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>; EvalReturnType = const Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:462:115:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
../include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, -1, 1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, -1, 1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, -1, 1, true> > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, -1, 1, true> > >'
../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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
../include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, true> > >'
../include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, -1, 1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
../include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
../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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false> >':
../include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
../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::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
../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::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Func = sub_assign_op<double, double>]'
../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::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_cholesky.cpp:261:67:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >':
../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::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
../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::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
../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::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Func = sub_assign_op<double, double>]'
../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::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_cholesky.cpp:261:67:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
../include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
../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::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
../include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_cholesky.cpp:261:67:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >':
../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::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
../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::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
../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, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Func = sub_assign_op<double, double>]'
../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, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>]'
../include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>, 0>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >]'
nimDerivs_atomic_cholesky.cpp:261:67:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::Dense>'
../include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
../include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>]'
../include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:628:22:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:605:13:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
../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::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_cholesky.cpp:386:147:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
../include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>]'
../include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:628:22:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:605:13:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
../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::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_cholesky.cpp:386:147:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:783:113:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>]'
../include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:628:22:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:605:13:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
../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::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_cholesky.cpp:386:147:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true>, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true> >'
../include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true, false>'
../include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true, Eigen::Dense>'
../include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true>'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>]'
../include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:628:22:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:605:13:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
../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::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_cholesky.cpp:386:147:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true>, 0>'
../include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true, true>'
../include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>]'
../include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:628:22:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:605:13:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
../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::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_cholesky.cpp:386:147:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> > >'
../include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; Rhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >; typename Dest::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:783:113:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>]'
../include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:628:22:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:605:13:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
../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::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_cholesky.cpp:386:147:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 4, 1, 4, 4> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4, 1, 4, 4> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4, 1, 4, 4> >'
../include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>]'
../include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:628:22:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:605:13:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
../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::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_cholesky.cpp:386:147:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>]'
../include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:628:22:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:605:13:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
../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::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_cholesky.cpp:386:147:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, -1, 1, true> >; Eigen::Index = long long int]':
../include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, -1, 1, true> > >; Scalar = double]'
../include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Dot.h:50:63:   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<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; Eigen::Index = long long int]':
../include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >; Scalar = double]'
../include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/Dot.h:50:63:   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<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]'
../include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
../include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Cholesky/LLT.h:391:47:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 2>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
../include/Eigen/src/Cholesky/LLT.h:418:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 2>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:109:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 2]'
../include/Eigen/src/Cholesky/LLT.h:553:10:   required from 'const Eigen::LLT<typename _MatrixType::PlainObject, UpLo> Eigen::SelfAdjointView<MatrixType, Mode>::llt() const [with _MatrixType = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >; unsigned int UpLo = 2; typename _MatrixType::PlainObject = Eigen::Matrix<double, -1, -1>]'
nimDerivs_atomic_cholesky.cpp:194:61:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4, 1, 4, 4> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4, 1, 4, 4> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4, 1, 4, 4> > >'
../include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4, 1, 4, 4> >'
../include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4, 1, 4, 4>; Scalar = double]'
../include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4, 1, 4, 4>]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:301:29:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>]'
../include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:628:22:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:605:13:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
../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::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_cholesky.cpp:386:147:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true> >':
../include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true>; Functor = sub_assign_op<double, double>]'
../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::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
../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::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true>; Func = sub_assign_op<double, double>]'
../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::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > > >, -1, -1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
../include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>]'
../include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:628:22:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:605:13:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
../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::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_cholesky.cpp:386:147:   required from here
../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,
      |                                                      ^~~~~~~~~
../include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >':
../include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >'
../include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> > >'
../include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
../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::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
../include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>]'
../include/Eigen/src/Core/Assign.h:75:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:628:22:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
../include/Eigen/src/Core/PlainObjectBase.h:605:13:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; Derived = Eigen::Matrix<double, -1, -1>]'
../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::TriangularView<const Eigen::Product<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, Eigen::TriangularView<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >, 1>, 0>, 2>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
nimDerivs_atomic_cholesky.cpp:386:147:   required from here
../include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DR_NO_REMAP -I"../include"    -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c nimDerivs_atomic_solve_base.cpp -o nimDerivs_atomic_solve_base.o
In file included from ../include/Eigen/Core:205,
                 from ../include/Eigen/Dense:1,
                 from ../include/nimble/EigenTypedefs.h:24,
                 from ../include/nimble/nimDerivs_vecmat_utils.h:5,
                 from ../include/nimble/nimDerivs_atomic_solve_base.h:9,
                 from nimDerivs_atomic_solve_base.cpp:1:
../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;
      |                                        ^
../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;
      |                                        ^
../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 }; };
      |                                       ^
../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 }; };
      |                                        ^
../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 }; };
      |                                        ^
../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> {
      |                                           ^
../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> {
      |                                           ^
../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) {
      |                                  ^
../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 ../include/Eigen/Core:174:
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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 ../include/Eigen/Core:165:
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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 ../include/Eigen/Core:271:
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
../include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
../include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
../include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
../include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
../include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:277:16:   required from 'class Eigen::HessenbergDecomposition<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/RealSchur.h:230:41:   required from 'class Eigen::RealSchur<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/EigenSolver.h:316:27:   required from 'class Eigen::EigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:156:47:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >'
../include/nimble/EigenTypedefs.h:156:68:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >'
../include/nimble/EigenTypedefs.h:161:35:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>'
../include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1> >'
../include/nimble/EigenTypedefs.h:163:16:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >'
../include/nimble/EigenTypedefs.h:173:58:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >'
../include/nimble/EigenTypedefs.h:175:38:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>'
../include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >'
../include/nimble/nimDerivs_atomic_matmult.h:144:53:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> > >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >, 1>'
../include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, -1> >'
../include/nimble/nimDerivs_atomic_matmult.h:147:48:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DR_NO_REMAP -I"../include"    -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c nimDerivs_atomic_pow_int.cpp -o nimDerivs_atomic_pow_int.o
In file included from ../include/Eigen/Core:205,
                 from ../include/Eigen/Dense:1,
                 from ../include/nimble/EigenTypedefs.h:24,
                 from ../include/nimble/nimbleCppAD.h:38,
                 from ../include/nimble/nimDerivs_atomic_pow_int.h:10,
                 from nimDerivs_atomic_pow_int.cpp:17:
../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;
      |                                        ^
../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;
      |                                        ^
../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 }; };
      |                                       ^
../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 }; };
      |                                        ^
../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 }; };
      |                                        ^
../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> {
      |                                           ^
../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> {
      |                                           ^
../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) {
      |                                  ^
../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 ../include/Eigen/Core:174:
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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 ../include/Eigen/Core:165:
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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 ../include/Eigen/Core:271:
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
../include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
../include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
../include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
../include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
../include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:277:16:   required from 'class Eigen::HessenbergDecomposition<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/RealSchur.h:230:41:   required from 'class Eigen::RealSchur<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/EigenSolver.h:316:27:   required from 'class Eigen::EigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:156:47:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >'
../include/nimble/EigenTypedefs.h:156:68:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >'
../include/nimble/EigenTypedefs.h:161:35:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>'
../include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1> >'
../include/nimble/EigenTypedefs.h:163:16:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >'
../include/nimble/EigenTypedefs.h:173:58:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >'
../include/nimble/EigenTypedefs.h:175:38:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DR_NO_REMAP -I"../include"    -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c nimDerivs_atomic_zround.cpp -o nimDerivs_atomic_zround.o
In file included from ../include/Eigen/Core:205,
                 from ../include/Eigen/Dense:1,
                 from ../include/nimble/EigenTypedefs.h:24,
                 from ../include/nimble/nimbleCppAD.h:38,
                 from ../include/nimble/nimDerivs_atomic_zround.h:9,
                 from nimDerivs_atomic_zround.cpp:12:
../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;
      |                                        ^
../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;
      |                                        ^
../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 }; };
      |                                       ^
../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 }; };
      |                                        ^
../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 }; };
      |                                        ^
../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> {
      |                                           ^
../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> {
      |                                           ^
../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) {
      |                                  ^
../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 ../include/Eigen/Core:174:
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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 ../include/Eigen/Core:165:
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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 ../include/Eigen/Core:271:
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
../include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
../include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
../include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
../include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
../include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:277:16:   required from 'class Eigen::HessenbergDecomposition<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/RealSchur.h:230:41:   required from 'class Eigen::RealSchur<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/EigenSolver.h:316:27:   required from 'class Eigen::EigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:156:47:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >'
../include/nimble/EigenTypedefs.h:156:68:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >'
../include/nimble/EigenTypedefs.h:161:35:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>'
../include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1> >'
../include/nimble/EigenTypedefs.h:163:16:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >'
../include/nimble/EigenTypedefs.h:173:58:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >'
../include/nimble/EigenTypedefs.h:175:38:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DR_NO_REMAP -I"../include"    -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c nimDerivs_atomic_log_pow_int.cpp -o nimDerivs_atomic_log_pow_int.o
In file included from ../include/Eigen/Core:205,
                 from ../include/Eigen/Dense:1,
                 from ../include/nimble/EigenTypedefs.h:24,
                 from ../include/nimble/nimbleCppAD.h:38,
                 from ../include/nimble/nimDerivs_atomic_log_pow_int.h:9,
                 from nimDerivs_atomic_log_pow_int.cpp:44:
../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;
      |                                        ^
../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;
      |                                        ^
../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 }; };
      |                                       ^
../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 }; };
      |                                        ^
../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 }; };
      |                                        ^
../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> {
      |                                           ^
../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> {
      |                                           ^
../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) {
      |                                  ^
../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 ../include/Eigen/Core:174:
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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 ../include/Eigen/Core:165:
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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 ../include/Eigen/Core:271:
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
../include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
../include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
../include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
../include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
../include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:277:16:   required from 'class Eigen::HessenbergDecomposition<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/RealSchur.h:230:41:   required from 'class Eigen::RealSchur<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/EigenSolver.h:316:27:   required from 'class Eigen::EigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:156:47:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >'
../include/nimble/EigenTypedefs.h:156:68:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >'
../include/nimble/EigenTypedefs.h:161:35:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>'
../include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1> >'
../include/nimble/EigenTypedefs.h:163:16:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >'
../include/nimble/EigenTypedefs.h:173:58:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >'
../include/nimble/EigenTypedefs.h:175:38:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DR_NO_REMAP -I"../include"    -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c nimDerivs_atomic_probit.cpp -o nimDerivs_atomic_probit.o
In file included from ../include/Eigen/Core:205,
                 from ../include/Eigen/Dense:1,
                 from ../include/nimble/EigenTypedefs.h:24,
                 from ../include/nimble/nimbleCppAD.h:38,
                 from ../include/nimble/nimDerivs_atomic_probit.h:9,
                 from nimDerivs_atomic_probit.cpp:1:
../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;
      |                                        ^
../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;
      |                                        ^
../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 }; };
      |                                       ^
../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 }; };
      |                                        ^
../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 }; };
      |                                        ^
../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> {
      |                                           ^
../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> {
      |                                           ^
../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) {
      |                                  ^
../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 ../include/Eigen/Core:174:
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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> {          \
      |                                                            ^
../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 ../include/Eigen/Core:165:
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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 ../include/Eigen/Core:271:
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
../include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
../include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
../include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
../include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
../include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
../include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../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]
../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]
../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;
      |                                                                                        ^~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../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;
      |                              ^~~~~~~~~~~~~~~~
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
../include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
../include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:146:24:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
../include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
../include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:277:16:   required from 'class Eigen::HessenbergDecomposition<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/RealSchur.h:230:41:   required from 'class Eigen::RealSchur<Eigen::Matrix<double, -1, -1> >'
../include/Eigen/src/Eigenvalues/EigenSolver.h:316:27:   required from 'class Eigen::EigenSolver<Eigen::Matrix<double, -1, -1> >'
../include/nimble/EigenTypedefs.h:156:47:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >'
../include/nimble/EigenTypedefs.h:156:68:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >'
../include/nimble/EigenTypedefs.h:161:35:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
../include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>'
../include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>'
../include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1> >'
../include/nimble/EigenTypedefs.h:163:16:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >'
../include/nimble/EigenTypedefs.h:173:58:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 0>':
../include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 1>'
../include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 3>'
../include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>'
../include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >'
../include/nimble/EigenTypedefs.h:175:38:   required from here
../include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
echo "Making nimble libnimble_x64.a"
Making nimble libnimble_x64.a
echo "nimDerivs_atomic_dyn_ind.o nodeFun.o accessorClasses.o nimbleCppAD.o RcppUtils.o EigenTypedefs.o eigenUsingClasses.o RcppNimbleUtils.o Utils.o NamedObjects.o ModelClassUtils.o dists.o nimDists.o dllFinalizer.o nimbleGraph.o smartPtrs.o predefinedNimbleLists.o nimOptim.o nimIntegrate.o nimDerivs_atomic_classes.o nimDerivs_atomic_matmult.o nimDerivs_atomic_matinverse.o nimDerivs_atomic_backsolve.o nimDerivs_atomic_forwardsolve.o nimDerivs_atomic_cholesky.o nimDerivs_atomic_solve_base.o nimDerivs_atomic_pow_int.o nimDerivs_atomic_zround.o nimDerivs_atomic_log_pow_int.o nimDerivs_atomic_probit.o"
nimDerivs_atomic_dyn_ind.o nodeFun.o accessorClasses.o nimbleCppAD.o RcppUtils.o EigenTypedefs.o eigenUsingClasses.o RcppNimbleUtils.o Utils.o NamedObjects.o ModelClassUtils.o dists.o nimDists.o dllFinalizer.o nimbleGraph.o smartPtrs.o predefinedNimbleLists.o nimOptim.o nimIntegrate.o nimDerivs_atomic_classes.o nimDerivs_atomic_matmult.o nimDerivs_atomic_matinverse.o nimDerivs_atomic_backsolve.o nimDerivs_atomic_forwardsolve.o nimDerivs_atomic_cholesky.o nimDerivs_atomic_solve_base.o nimDerivs_atomic_pow_int.o nimDerivs_atomic_zround.o nimDerivs_atomic_log_pow_int.o nimDerivs_atomic_probit.o
ar rcs libnimble_x64.a nimDerivs_atomic_dyn_ind.o nodeFun.o accessorClasses.o nimbleCppAD.o RcppUtils.o EigenTypedefs.o eigenUsingClasses.o RcppNimbleUtils.o Utils.o NamedObjects.o ModelClassUtils.o dists.o nimDists.o dllFinalizer.o nimbleGraph.o smartPtrs.o predefinedNimbleLists.o nimOptim.o nimIntegrate.o nimDerivs_atomic_classes.o nimDerivs_atomic_matmult.o nimDerivs_atomic_matinverse.o nimDerivs_atomic_backsolve.o nimDerivs_atomic_forwardsolve.o nimDerivs_atomic_cholesky.o nimDerivs_atomic_solve_base.o nimDerivs_atomic_pow_int.o nimDerivs_atomic_zround.o nimDerivs_atomic_log_pow_int.o nimDerivs_atomic_probit.o
rm nimDerivs_atomic_dyn_ind.o nodeFun.o accessorClasses.o nimbleCppAD.o RcppUtils.o EigenTypedefs.o eigenUsingClasses.o RcppNimbleUtils.o Utils.o NamedObjects.o ModelClassUtils.o dists.o nimDists.o dllFinalizer.o nimbleGraph.o smartPtrs.o predefinedNimbleLists.o nimOptim.o nimIntegrate.o nimDerivs_atomic_classes.o nimDerivs_atomic_matmult.o nimDerivs_atomic_matinverse.o nimDerivs_atomic_backsolve.o nimDerivs_atomic_forwardsolve.o nimDerivs_atomic_cholesky.o nimDerivs_atomic_solve_base.o nimDerivs_atomic_pow_int.o nimDerivs_atomic_zround.o nimDerivs_atomic_log_pow_int.o nimDerivs_atomic_probit.o
The R package directory has not been created yet
** libs
using C++ compiler: 'g++.exe (GCC) 12.3.0'
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DR_NO_REMAP -I../inst/include    -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c RcppUtils.cpp -o RcppUtils.o
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DR_NO_REMAP -I../inst/include    -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c dists.cpp -o dists.o
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DR_NO_REMAP -I../inst/include    -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c eigenUsingClasses.cpp -o eigenUsingClasses.o
In file included from ../inst/include/Eigen/Core:205,
                 from ../inst/include/Eigen/Dense:1,
                 from ../inst/include/nimble/EigenTypedefs.h:24,
                 from eigenUsingClasses.cpp:22:
../inst/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;
      |                                        ^
../inst/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;
      |                                        ^
../inst/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 }; };
      |                                       ^
../inst/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 }; };
      |                                        ^
../inst/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 }; };
      |                                        ^
../inst/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> {
      |                                           ^
../inst/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> {
      |                                           ^
../inst/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) {
      |                                  ^
../inst/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 ../inst/include/Eigen/Core:174:
../inst/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> {          \
      |                                                            ^
../inst/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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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> {          \
      |                                                            ^
../inst/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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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> {          \
      |                                                            ^
../inst/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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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> {          \
      |                                                            ^
../inst/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 ../inst/include/Eigen/Core:165:
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
../inst/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
../inst/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
../inst/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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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]
../inst/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]
../inst/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 ../inst/include/Eigen/Core:271:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
../inst/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
../inst/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
../inst/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
../inst/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;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
../inst/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
../inst/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
../inst/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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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]
../inst/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]
../inst/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;
      |                                                                                        ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
../inst/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
../inst/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
../inst/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
../inst/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;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
../inst/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
../inst/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../inst/include/nimble/EigenTypedefs.h:146:24:   required from here
../inst/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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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]
../inst/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]
../inst/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;
      |                                                                                        ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
../inst/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../inst/include/nimble/EigenTypedefs.h:146:24:   required from here
../inst/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;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
../inst/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../inst/include/nimble/EigenTypedefs.h:146:24:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
../inst/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>'
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../inst/include/nimble/EigenTypedefs.h:146:24:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
../inst/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../inst/include/nimble/EigenTypedefs.h:146:24:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
../inst/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:277:16:   required from 'class Eigen::HessenbergDecomposition<Eigen::Matrix<double, -1, -1> >'
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:230:41:   required from 'class Eigen::RealSchur<Eigen::Matrix<double, -1, -1> >'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:316:27:   required from 'class Eigen::EigenSolver<Eigen::Matrix<double, -1, -1> >'
../inst/include/nimble/EigenTypedefs.h:156:47:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >'
../inst/include/nimble/EigenTypedefs.h:156:68:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >'
../inst/include/nimble/EigenTypedefs.h:161:35:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>'
../inst/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>'
../inst/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1> >'
../inst/include/nimble/EigenTypedefs.h:163:16:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../inst/include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >'
../inst/include/nimble/EigenTypedefs.h:173:58:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../inst/include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >'
../inst/include/nimble/EigenTypedefs.h:175:38:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/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>':
../inst/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>'
../inst/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>'
../inst/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> > >'
../inst/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> > >'
../inst/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>'
../inst/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>'
../inst/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >'
eigenUsingClasses.cpp:171:37:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Reverse<const Eigen::Matrix<double, -1, 1>, 2>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Reverse<const Eigen::Matrix<double, -1, 1>, 2>, 1>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Reverse<const Eigen::Matrix<double, -1, 1>, 2> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Reverse<const Eigen::Matrix<double, -1, 1>, 2> >'
../inst/include/Eigen/src/Core/Reverse.h:63:52:   required from 'class Eigen::Reverse<const Eigen::Matrix<double, -1, 1>, 2>'
../inst/include/nimble/EigenTypedefs.h:146:46:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from ../inst/include/Eigen/Core:361:
../inst/include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse<const Eigen::Matrix<double, -1, 1>, 2>':
../inst/include/nimble/EigenTypedefs.h:146:46:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase<Eigen::Reverse<const Eigen::Matrix<double, -1, 1>, 2> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes]
   85 |     typedef internal::reverse_packet_cond<PacketScalar,ReversePacket> reverse_packet;
      |                                                                       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Reverse<const Eigen::Matrix<double, -1, -1>, 1>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Reverse<const Eigen::Matrix<double, -1, -1>, 1>, 1>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Reverse<const Eigen::Matrix<double, -1, -1>, 1> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Reverse<const Eigen::Matrix<double, -1, -1>, 1> >'
../inst/include/Eigen/src/Core/Reverse.h:63:52:   required from 'class Eigen::Reverse<const Eigen::Matrix<double, -1, -1>, 1>'
../inst/include/nimble/EigenTypedefs.h:149:58:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/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;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/Reverse.h: In instantiation of 'class Eigen::Reverse<const Eigen::Matrix<double, -1, -1>, 1>':
../inst/include/nimble/EigenTypedefs.h:149:58:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument 'Eigen::MatrixBase<Eigen::Reverse<const Eigen::Matrix<double, -1, -1>, 1> >::PacketScalar' {aka '__m128d'} [-Wignored-attributes]
   85 |     typedef internal::reverse_packet_cond<PacketScalar,ReversePacket> reverse_packet;
      |                                                                       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
../inst/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
../inst/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>'
../inst/include/nimble/EigenTypedefs.h:173:23:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/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;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true, true>'
../inst/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true, Eigen::Dense>'
../inst/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true>'
../inst/include/nimble/EigenTypedefs.h:173:62:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
../inst/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
../inst/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
../inst/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:357:32:   required from 'Eigen::EigenSolver<_MatrixType>::EigenvectorsType Eigen::EigenSolver<_MatrixType>::eigenvectors() const [with _MatrixType = Eigen::Matrix<double, -1, -1>; EigenvectorsType = Eigen::Matrix<std::complex<double>, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:173:49:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >'
../inst/include/Eigen/src/SVD/JacobiSVD.h:679:37:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
../inst/include/Eigen/src/SVD/JacobiSVD.h:691:29:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
../inst/include/Eigen/src/SVD/JacobiSVD.h:691:29:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
../inst/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, -1, false, true>'
../inst/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>'
../inst/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>'
../inst/include/Eigen/src/SVD/JacobiSVD.h:697:32:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
../inst/include/Eigen/src/SVD/JacobiSVD.h:697:60:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0> >'
../inst/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>'
../inst/include/Eigen/src/SVD/JacobiSVD.h:705:61:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
../inst/include/Eigen/src/SVD/JacobiSVD.h:765:62:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>'
../inst/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>'
../inst/include/Eigen/src/SVD/JacobiSVD.h:777:65:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >'
../inst/include/Eigen/src/SVD/JacobiSVD.h:228:33:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
../inst/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from 'class Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1>'
../inst/include/Eigen/src/SVD/JacobiSVD.h:231:121:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 2> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 2> >'
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 2> >'
../inst/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 2>'
../inst/include/Eigen/src/misc/RealSvd2x2.h:25:26:   required from 'void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation<RealScalar>*, Eigen::JacobiRotation<RealScalar>*) [with MatrixType = Eigen::Matrix<double, -1, -1>; RealScalar = double; Index = long long int]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:730:42:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>'
../inst/include/Eigen/src/Jacobi/Jacobi.h:297:10:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:733:40:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >'
../inst/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67:   required from 'Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:758:39:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:258:43:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:34:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> > >, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> > >, 1>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> > > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> > > >'
../inst/include/Eigen/src/Core/ReturnByValue.h:50:34:   required from 'class Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> > >'
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:339:38:   required from 'struct Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >'
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:39:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>'
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:468:34:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:468:100:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>'
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:492:76:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:598:25:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>'
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:39:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >'
../inst/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, 7>'
../inst/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>'
../inst/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:45:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true> > >'
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true> >'
../inst/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = std::complex<double>]'
../inst/include/Eigen/src/Core/Dot.h:147:18:   required from 'void Eigen::MatrixBase<Derived>::normalize() [with Derived = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:358:28:   required from 'Eigen::EigenSolver<_MatrixType>::EigenvectorsType Eigen::EigenSolver<_MatrixType>::eigenvectors() const [with _MatrixType = Eigen::Matrix<double, -1, -1>; EigenvectorsType = Eigen::Matrix<std::complex<double>, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:173:49:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
../inst/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>'
../inst/include/Eigen/src/Householder/HouseholderSequence.h:297:21:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>'
../inst/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, -1, 1, false, true>'
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:59:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
../inst/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, false, true>'
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:82:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 0>'
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Jacobi/Jacobi.h:297:10:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Matrix<double, 2, 2>; Eigen::Index = long long int]'
../inst/include/Eigen/src/misc/RealSvd2x2.h:46:19:   required from 'void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation<RealScalar>*, Eigen::JacobiRotation<RealScalar>*) [with MatrixType = Eigen::Matrix<double, -1, -1>; RealScalar = double; Index = long long int]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:730:42:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 2>':
../inst/include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 0>'
../inst/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1>'
../inst/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 2, 2>, 1, 2, false, true>'
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Jacobi/Jacobi.h:297:10:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Matrix<double, 2, 2>; Eigen::Index = long long int]'
../inst/include/Eigen/src/misc/RealSvd2x2.h:46:19:   required from 'void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation<RealScalar>*, Eigen::JacobiRotation<RealScalar>*) [with MatrixType = Eigen::Matrix<double, -1, -1>; RealScalar = double; Index = long long int]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:730:42:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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]
../inst/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]
../inst/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;
      |                                                                                        ^~~~
In file included from ../inst/include/Eigen/Core:277:
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
../inst/include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; VectorY = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; OtherScalar = double]'
../inst/include/Eigen/src/Jacobi/Jacobi.h:299:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:733:40:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/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,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
../inst/include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; VectorY = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; OtherScalar = double]'
../inst/include/Eigen/src/Jacobi/Jacobi.h:315:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:734:53:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >'
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1>; Scalar = double]'
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:735:21:   required from 'Derived& Eigen::PlainObjectBase<Derived>::setOnes(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:440:22:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:145:36:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/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;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >'
../inst/include/Eigen/src/Core/Diagonal.h:63:53:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:145:36:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 3>':
../inst/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 1> >'
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >'
../inst/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 1>'
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:339:18:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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]
../inst/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]
../inst/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;
      |                                                                                        ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 1> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 1> >'
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >'
../inst/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/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;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 3, 1> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 3, 1> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 3, 1> > >'
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 3, 1> >'
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:339:57:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 0>'
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >'
../inst/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, 7>'
../inst/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, Eigen::Dense>'
../inst/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
../inst/include/Eigen/src/Householder/Householder.h:169:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >'
../inst/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, 5>'
../inst/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, Eigen::Dense>'
../inst/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/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>':
../inst/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>'
../inst/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>'
../inst/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> > >'
../inst/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> > >'
../inst/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>'
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
../inst/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>'
../inst/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
../inst/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>'
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >'
../inst/include/Eigen/src/Householder/Householder.h:131:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
../inst/include/Eigen/src/Householder/Householder.h:132:29:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
../inst/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>'
../inst/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
../inst/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
../inst/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
../inst/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
../inst/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>'
../inst/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
../inst/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >'
../inst/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, 8>'
../inst/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
../inst/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Dense>'
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
../inst/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
../inst/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
../inst/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
../inst/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >'
../inst/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, 8>'
../inst/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
../inst/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >'
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:846:33:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; bool Big = false]'
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:892:21:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:698:45:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >':
../inst/include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>; VectorY = Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>; OtherScalar = double]'
../inst/include/Eigen/src/Jacobi/Jacobi.h:299:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Matrix<double, 2, 2>; Eigen::Index = long long int]'
../inst/include/Eigen/src/misc/RealSvd2x2.h:46:19:   required from 'void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation<RealScalar>*, Eigen::JacobiRotation<RealScalar>*) [with MatrixType = Eigen::Matrix<double, -1, -1>; RealScalar = double; Index = long long int]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:730:42:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/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,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >':
../inst/include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
../inst/include/Eigen/src/Core/Visitor.h:123:17:   required from 'void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
../inst/include/Eigen/src/Core/Visitor.h:374:14:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long long int; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Core/DenseBase.h:501:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:777:88:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:145:36:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/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;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
../inst/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>'
../inst/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>'
../inst/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>'
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:145:36:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>'
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:145:36:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:370:68:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>, 0>'
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 1> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 1> >'
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >'
../inst/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>, 0>'
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 1>':
../inst/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
../inst/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 1, 0, 1, 1>'
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:535:24:   required from 'void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long long int; Vector3s = Eigen::Matrix<double, 3, 1>; Scalar = double]'
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:346:9:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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]
../inst/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]
../inst/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;
      |                                                                                        ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
../inst/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/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;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >':
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
../inst/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
../inst/include/Eigen/src/Core/Redux.h:414:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:468:106:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/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,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> > >'
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
../inst/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:492:54:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/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;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
../inst/include/Eigen/src/Core/Dot.h:50:56:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:492:54:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Eigen::Index = long long int]':
../inst/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::scalar_max_op<double, double, 1>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >; Scalar = double]'
../inst/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Core/Redux.h:448:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 1; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:679:71:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/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;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
../inst/include/Eigen/src/Householder/Householder.h:129:38:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >'
../inst/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>'
../inst/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
../inst/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
../inst/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
../inst/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>'
../inst/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
../inst/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
../inst/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>'
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>'
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 0>'
../inst/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true, true>'
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>'
../inst/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false, true>'
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:90:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:57:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 0>'
../inst/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false, true>'
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >'
../inst/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, 7>'
../inst/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>'
../inst/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>'
../inst/include/Eigen/src/Householder/BlockHouseholder.h:64:57:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
../inst/include/Eigen/src/Householder/BlockHouseholder.h:73:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >':
../inst/include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]'
../inst/include/Eigen/src/Jacobi/Jacobi.h:315:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = long long int]'
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24:   required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long long int]'
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:145:36:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/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,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 0>'
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/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;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >'
../inst/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, 7>'
../inst/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>'
../inst/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>'
../inst/include/Eigen/src/Householder/Householder.h:167:27:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>, 0>'
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
../inst/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 5>'
../inst/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>'
../inst/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>'
../inst/include/Eigen/src/Householder/Householder.h:170:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 0>'
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>'
../inst/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 1>, 2, 1, false, true>'
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >'
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >'
../inst/include/Eigen/src/Householder/Householder.h:93:22:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::Matrix<double, 2, 1>; Derived = Eigen::Matrix<double, 3, 1>; Scalar = double; RealScalar = double]'
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:516:22:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0>'
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> > >'
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, 2, 1>, Eigen::Dense>'
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >'
../inst/include/Eigen/src/Householder/Householder.h:129:38:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0>, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0> >'
../inst/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0, 3>'
../inst/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0, Eigen::Dense>'
../inst/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 0>'
../inst/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >'
../inst/include/Eigen/src/Householder/Householder.h:132:29:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Matrix<double, 2, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:526:62:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
../inst/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 4>'
../inst/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
../inst/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
../inst/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 0>'
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0>, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0> >'
../inst/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0, 3>'
../inst/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0, Eigen::Dense>'
../inst/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0>'
../inst/include/Eigen/src/Householder/Householder.h:167:27:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0>, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0> >'
../inst/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0, 4>'
../inst/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0, Eigen::Dense>'
../inst/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0>'
../inst/include/Eigen/src/Householder/Householder.h:170:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>'
../inst/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 1>, 1, 1, false, true>'
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
../inst/include/Eigen/src/Householder/Householder.h:93:22:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Derived = Eigen::Matrix<double, 2, 1>; Scalar = double; RealScalar = double]'
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:536:20:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, Eigen::Dense>'
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
../inst/include/Eigen/src/Householder/Householder.h:129:38:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0> >'
../inst/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0, 4>'
../inst/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0, Eigen::Dense>'
../inst/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 0>'
../inst/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
../inst/include/Eigen/src/Householder/Householder.h:132:29:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double]'
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:541:69:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
../inst/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 4>'
../inst/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
../inst/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
../inst/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 0>'
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >'
../inst/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, 4>'
../inst/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Dense>'
../inst/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>'
../inst/include/Eigen/src/Householder/Householder.h:167:27:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0> >'
../inst/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0, 4>'
../inst/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0, Eigen::Dense>'
../inst/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>'
../inst/include/Eigen/src/Householder/Householder.h:170:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >':
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>'
../inst/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
../inst/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<double, -1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]'
../inst/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<double, -1, 1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op<double, double>]'
../inst/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/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,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >':
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
../inst/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<double, -1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]'
../inst/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<double, -1, 1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op<double, double>]'
../inst/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true> >':
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::CwiseUnaryView<scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true>; Functor = assign_op<double, double>]'
../inst/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::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
../inst/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, true>; Src = Eigen::Block<Eigen::CwiseUnaryView<scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true>; Func = assign_op<double, double>]'
../inst/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, true>; Src = Eigen::Block<Eigen::CwiseUnaryView<scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../inst/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, true>; Src = Eigen::Block<Eigen::CwiseUnaryView<scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true>]'
../inst/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]'
../inst/include/nimble/EigenTypedefs.h:173:27:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
../inst/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Core/Dot.h:110:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/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;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
../inst/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>'
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
../inst/include/Eigen/src/Householder/Householder.h:93:22:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
../inst/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
../inst/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Core/Dot.h:110:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
../inst/include/Eigen/src/Core/Dot.h:37:44:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]'
../inst/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:145:36:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 0>'
../inst/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false, true>'
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:145:36:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
../inst/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74:   required from 'static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long long int; UType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; VType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
../inst/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:145:36:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
../inst/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60:   required from 'static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long long int; UType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; VType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
../inst/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:145:36:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
../inst/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23:   required from 'static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long long int; UType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; VType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
../inst/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:145:36:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >':
../inst/include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>; VectorY = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>; OtherScalar = double]'
../inst/include/Eigen/src/Jacobi/Jacobi.h:299:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Eigen::Index = long long int]'
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:417:47:   required from 'void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long long int; Scalar = double]'
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:332:9:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/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,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >':
../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
../inst/include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; VectorY = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; OtherScalar = double]'
../inst/include/Eigen/src/Jacobi/Jacobi.h:315:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::Index = long long int]'
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:418:41:   required from 'void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long long int; Scalar = double]'
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:332:9:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >':
../inst/include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; VectorY = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; OtherScalar = double]'
../inst/include/Eigen/src/Jacobi/Jacobi.h:315:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Eigen::Index = long long int]'
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:418:41:   required from 'void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; Index = long long int; Scalar = double]'
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:332:9:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> > >'
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >'
../inst/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/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;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> > >'
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
../inst/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, std::complex<double> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, std::complex<double> >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, std::complex<double> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseUnaryOp<scalar_cast_op<double, std::complex<double> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Functor = assign_op<std::complex<double>, std::complex<double> >]'
../inst/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::Matrix<std::complex<double>, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, std::complex<double> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Functor = Eigen::internal::assign_op<std::complex<double>, std::complex<double> >; Weak = void]'
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true>; Src = Eigen::CwiseUnaryOp<scalar_cast_op<double, std::complex<double> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >]'
../inst/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, std::complex<double> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Derived = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:357:19:   required from 'Eigen::EigenSolver<_MatrixType>::EigenvectorsType Eigen::EigenSolver<_MatrixType>::eigenvectors() const [with _MatrixType = Eigen::Matrix<double, -1, -1>; EigenvectorsType = Eigen::Matrix<std::complex<double>, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:173:49:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/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,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >':
../inst/include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >'
../inst/include/Eigen/src/Core/Visitor.h:123:17:   required from 'void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>]'
../inst/include/Eigen/src/Core/Visitor.h:374:14:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long long int; Derived = Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Core/DenseBase.h:501:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:521:90:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
../inst/include/Eigen/src/Core/Dot.h:98:40:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/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;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >':
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
../inst/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::Map<Eigen::Matrix<double, -1, 1> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>]'
../inst/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<double, -1, 1> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = assign_op<double, double>]'
../inst/include/Eigen/src/Core/NoAlias.h:43:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/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,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >':
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
../inst/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::Map<Eigen::Matrix<double, -1, 1> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>]'
../inst/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<double, -1, 1> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = assign_op<double, double>]'
../inst/include/Eigen/src/Core/NoAlias.h:43:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:182:19:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:53:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long long int]':
../inst/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]'
../inst/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Core/Redux.h:448:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:258:54:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 1> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 1> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 1> > >'
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 1> >'
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 2, 1>; Scalar = double]'
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 2, 1>]'
../inst/include/Eigen/src/Householder/Householder.h:86:22:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/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;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Scalar = double]'
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 1, 1, 0, 1, 1>]'
../inst/include/Eigen/src/Householder/Householder.h:86:22:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >':
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = assign_op<double, double>]'
../inst/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<double, -1, -1>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
../inst/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::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:697:18:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/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,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false> >':
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
../inst/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::Map<Eigen::Matrix<double, -1, 1> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]'
../inst/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<double, -1, 1> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op<double, double>]'
../inst/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; StorageBase = Eigen::MatrixBase]'
../inst/include/Eigen/src/Householder/Householder.h:167:19:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]':
../inst/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]'
../inst/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:370:74:   required from 'typename MatrixType::Scalar Eigen::RealSchur<_MatrixType>::computeNormOfT() [with _MatrixType = Eigen::Matrix<double, -1, -1>; typename MatrixType::Scalar = double]'
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:309:17:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, -1, -1> >; OrthMatrixType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >':
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >, Eigen::internal::IndexBased, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> > >'
../inst/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> > >'
../inst/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<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/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,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >':
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >, Eigen::internal::IndexBased, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> > >'
../inst/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> > >'
../inst/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<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 0>'
../inst/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false, true>'
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/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;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>'
../inst/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true, true>'
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<double, 1, -1>; Eigen::Index = long long int]':
../inst/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<double, 1, -1>; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<double, 1, -1> >; Scalar = double]'
../inst/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Core/Redux.h:448:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Matrix<double, 1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:511:85:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
../inst/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
../inst/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<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/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,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>'
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/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;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
../inst/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; Func = generic_product_impl<Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >':
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]'
../inst/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::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
../inst/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<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]'
../inst/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::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/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,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1>, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1> >'
../inst/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1, 3>'
../inst/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1, Eigen::Dense>'
../inst/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1>'
../inst/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/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;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1> >'
../inst/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 4>'
../inst/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>'
../inst/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
../inst/include/Eigen/src/Core/ProductEvaluators.h:416:50:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1> >'
../inst/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1, 3>'
../inst/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1, Eigen::Dense>'
../inst/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>'
../inst/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1>, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1> >'
../inst/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 4>'
../inst/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, Eigen::Dense>'
../inst/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1>'
../inst/include/Eigen/src/Core/ProductEvaluators.h:416:50:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1> >'
../inst/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 4>'
../inst/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, Eigen::Dense>'
../inst/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>'
../inst/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1> >'
../inst/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 4>'
../inst/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>'
../inst/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
../inst/include/Eigen/src/Core/ProductEvaluators.h:416:50:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1> >'
../inst/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 4>'
../inst/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, Eigen::Dense>'
../inst/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>'
../inst/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1>, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1> >'
../inst/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 4>'
../inst/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, Eigen::Dense>'
../inst/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1>'
../inst/include/Eigen/src/Core/ProductEvaluators.h:416:50:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from ../inst/include/Eigen/Core:333:
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 0>':
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
../inst/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
../inst/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::Matrix<double, -1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 1>':
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
../inst/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
../inst/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::Matrix<double, -1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 2>':
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45:   required from 'struct Eigen::internal::general_matrix_vector_product<long long int, double, Eigen::internal::const_blas_data_mapper<double, long long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, false, 0>'
../inst/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
../inst/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::Matrix<double, -1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>'
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/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;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
../inst/include/Eigen/src/Core/GeneralProduct.h:296:40:   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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
../inst/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
../inst/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Core/Dot.h:110:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]':
../inst/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]'
../inst/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Core/Dot.h:110:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>'
../inst/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false, true>'
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/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;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 0>'
../inst/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true, true>'
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> > >'
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, -1> >'
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]'
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:349:16:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>'
../inst/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true, true>'
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
../inst/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>'
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >':
../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]'
../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/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,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >':
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]'
../inst/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::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >'
../inst/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>'
../inst/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>'
../inst/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>'
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:145:36:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/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;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]':
../inst/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]'
../inst/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Core/Dot.h:37:51:   required from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]'
../inst/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:145:36:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true> >':
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Functor = add_assign_op<double, double>]'
../inst/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::Map<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
../inst/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<double, -1, 1> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Func = add_assign_op<double, double>]'
../inst/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::Map<Eigen::Matrix<double, -1, 1> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, true>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1> >]'
../inst/include/Eigen/src/Householder/Householder.h:168:9:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/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,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true>, 0>'
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/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;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false> >':
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 2, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>; Functor = assign_op<double, double>]'
../inst/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<double, 2, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
../inst/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<double, 2, 1>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>; Func = assign_op<double, double>]'
../inst/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>; Derived = Eigen::Matrix<double, 2, 1>]'
../inst/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, 2, 1, false>; Derived = Eigen::Matrix<double, 2, 1>]'
../inst/include/Eigen/src/Core/Matrix.h:423:29:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/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,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> > >'
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >'
../inst/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/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;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >'
../inst/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<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; ResScalar = double]'
../inst/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long long int]':
../inst/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]'
../inst/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Core/Dot.h:98:46:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Householder/Householder.h:78:71:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
../inst/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>'
../inst/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>'
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/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;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > > >'
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
../inst/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
../inst/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > > >'
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>'
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
../inst/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from ../inst/include/Eigen/Core:330:
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>':
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:92:29:   required from 'struct Eigen::internal::product_triangular_matrix_matrix<double, long long int, 5, true, 0, false, 0, false, 0, 1, 0>'
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/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;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
../inst/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, false>'
../inst/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false, Eigen::Dense>'
../inst/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>'
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>'
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 0>'
../inst/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true, true>'
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >':
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> > >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:145:36:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/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,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false>, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false>, 0>'
../inst/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false, true>'
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/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;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false> >':
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, 3, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>; Functor = assign_op<double, double>]'
../inst/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<double, 3, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
../inst/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<double, 3, 1>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>; Func = assign_op<double, double>]'
../inst/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<double, 3, 1>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, 3, 1>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, 3, 1, false>]'
../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/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,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >':
../inst/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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = assign_op<double, double>]'
../inst/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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
../inst/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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>]'
../inst/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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const 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]'
../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >]'
../inst/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >'
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
../inst/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/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;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
../inst/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >'
../inst/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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>; ResScalar = double]'
../inst/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>'
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
../inst/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
../inst/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
../inst/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>'
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >'
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>'
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48:   required from 'static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:783:113:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 64>':
../inst/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
../inst/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 8, 8, 0, 8, 8>'
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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]
../inst/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]
../inst/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;
      |                                                                                        ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
../inst/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/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;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
../inst/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 8>':
../inst/include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
../inst/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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]
../inst/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]
../inst/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;
      |                                                                                        ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>':
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>':
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
In file included from ../inst/include/Eigen/Core:337:
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of 'static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]':
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7:   required from 'static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:805:109:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]'
../inst/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::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>]'
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:145:36:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   62 |   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs,  IsRowMajor), ConjugateRhs> pcj0;
      |                                                                                                                         ^~~~
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   63 |   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1;
      |                                                                                                                         ^~~~
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false> >':
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/ProductEvaluators.h:527:76:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>'
../inst/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from 'struct Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1> >'
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1>; Functor = assign_op<double, double>]'
../inst/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::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/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,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false> >':
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/ProductEvaluators.h:526:76:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>'
../inst/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from 'struct Eigen::internal::evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1> >'
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>; Functor = assign_op<double, double>]'
../inst/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::Map<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false> >':
../inst/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/ProductEvaluators.h:526:76:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>, 4, Eigen::DenseShape, Eigen::DenseShape, double, double>'
../inst/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from 'struct Eigen::internal::evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1> >'
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>; Functor = assign_op<double, double>]'
../inst/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::Map<Eigen::Matrix<double, -1, 1> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >':
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> > >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> > >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >':
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >'
../inst/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >'
../inst/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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>'
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
../inst/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/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;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
../inst/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::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
../inst/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
../inst/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>'
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
../inst/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>'
../inst/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>'
../inst/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>'
../inst/include/Eigen/src/Core/VectorBlock.h:56:47:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54:   required from 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]'
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
../inst/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, false>'
../inst/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>'
../inst/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>'
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>'
../inst/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, true>'
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/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 = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:175:15:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
../inst/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 = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 0>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]':
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/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 = double; RhsScalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]':
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
In file included from ../inst/include/Eigen/Core:166:
../inst/include/Eigen/src/Core/util/Memory.h: In instantiation of 'Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long long int]':
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68:   required from 'static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]'
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7:   required from 'static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:805:109:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:145:36:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  500 |   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
      |                                                            ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> > >'
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >'
../inst/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/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;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >'
../inst/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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; ResScalar = double]'
../inst/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >':
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/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,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >':
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >'
../inst/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >'
../inst/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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >':
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
../inst/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
../inst/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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
../inst/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >'
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/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;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
../inst/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:119:18:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>'
../inst/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>'
../inst/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>'
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>'
../inst/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>'
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>'
../inst/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>'
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77:   required from 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]'
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
../inst/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >'
../inst/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>'
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> > >'
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>; Scalar = double]'
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>]'
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> > >'
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; Scalar = double]'
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>]'
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >':
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/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,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
../inst/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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]'
../inst/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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
../inst/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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]'
../inst/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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/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 = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long long int, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]':
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19:   required from 'static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int ProductTag = 8; Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2256 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2258 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2259 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2298 |               PacketBlock<HalfPacket> kernel_half;
      |                                       ^~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2304 |               PacketBlock<QuarterPacket> kernel_quarter;
      |                                          ^~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >':
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> > >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> > >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/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,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true>, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true>, 0>'
../inst/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true, true>'
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/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;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> > >'
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true>, Eigen::Dense>'
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >'
../inst/include/Eigen/src/Core/ProductEvaluators.h:618:37:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true>, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true>, 0>'
../inst/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true, true>'
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >'
../inst/include/Eigen/src/Core/ProductEvaluators.h:618:52:   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) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >; CoeffReturnType = double; Eigen::Index = long long int]'
../inst/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true>, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true>, 0>'
../inst/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true, true>'
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> > >'
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true>, Eigen::Dense>'
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >'
../inst/include/Eigen/src/Core/ProductEvaluators.h:618:37:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false>, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false>, 0>'
../inst/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false, true>'
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >'
../inst/include/Eigen/src/Core/ProductEvaluators.h:618:52:   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) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; CoeffReturnType = double; Eigen::Index = long long int]'
../inst/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false>, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false>, 0>'
../inst/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false, true>'
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> > >'
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >'
../inst/include/Eigen/src/Core/ProductEvaluators.h:618:37:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>'
../inst/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>'
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
../inst/include/Eigen/src/Core/ProductEvaluators.h:618:52:   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) const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; CoeffReturnType = double; Eigen::Index = long long int]'
../inst/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]':
../inst/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]'
../inst/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Core/Dot.h:50:63:   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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
../inst/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >':
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
../inst/include/Eigen/src/Core/Redux.h:357:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/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,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >':
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
../inst/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
../inst/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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >':
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> > >'
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>; Scalar = double]'
../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>]'
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/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;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
../inst/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false> >':
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
../inst/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
../inst/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
../inst/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>]'
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/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,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >':
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> > >'
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
../inst/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >':
../inst/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
../inst/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
../inst/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>]'
../inst/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>]'
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true> >':
../inst/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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]'
../inst/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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
../inst/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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]'
../inst/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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, -1, false>, -1, 1, true>]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:271:17:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false>, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false>, 0>'
../inst/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false, true>'
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/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;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> > >'
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >'
../inst/include/Eigen/src/Core/ProductEvaluators.h:618:37:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true>, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true>, 0>'
../inst/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 1>, 2, 1, true, true>'
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >'
../inst/include/Eigen/src/Core/ProductEvaluators.h:618:52:   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) const [with Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>; Rhs = Eigen::Matrix<double, 2, 1>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, 2, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>; CoeffReturnType = double; Eigen::Index = long long int]'
../inst/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false>, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >'
../inst/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false, false>'
../inst/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false, Eigen::Dense>'
../inst/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false>'
../inst/include/Eigen/src/Core/ProductEvaluators.h:606:22:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> > >'
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >'
../inst/include/Eigen/src/Core/ProductEvaluators.h:606:37:   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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >; CoeffReturnType = double; Eigen::Index = long long int]'
../inst/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false>, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false>, 0>'
../inst/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false, true>'
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >'
../inst/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >; CoeffReturnType = double; Eigen::Index = long long int]'
../inst/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false>, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false>, 0>'
../inst/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false, true>'
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> > >'
../inst/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >'
../inst/include/Eigen/src/Core/ProductEvaluators.h:618:37:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true>, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true>, 0>'
../inst/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true, true>'
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >'
../inst/include/Eigen/src/Core/ProductEvaluators.h:618:52:   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) const [with Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; Rhs = Eigen::Matrix<double, 1, 1, 0, 1, 1>; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, 1, 1, 0, 1, 1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
../inst/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false>, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false>, 0>'
../inst/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false, true>'
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >'
../inst/include/Eigen/src/Core/ProductEvaluators.h:618:52:   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) const [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >; Rhs = Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >; CoeffReturnType = double; Eigen::Index = long long int]'
../inst/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]':
../inst/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]'
../inst/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Core/Dot.h:50:63:   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::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
../inst/include/Eigen/src/Core/Dot.h:84:58:   required from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3:   required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>'
../inst/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false, true>'
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/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;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>'
../inst/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true, true>'
../inst/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59:   required from 'static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >':
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, Eigen::internal::IndexBased, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> > >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> > >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/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,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >':
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> > >'
../inst/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> > >'
../inst/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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, false>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >':
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, Eigen::internal::IndexBased, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> > >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> > >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >':
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> > >'
../inst/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> > >'
../inst/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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >':
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, Eigen::internal::IndexBased, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> > >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> > >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >':
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
../inst/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
../inst/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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long long int]':
../inst/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]'
../inst/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114:   required from 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]'
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   required from 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]'
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >':
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
../inst/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/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,
      |                                                      ^~~~~~~~~
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >':
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
../inst/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
../inst/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >':
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
../inst/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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >':
../inst/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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
../inst/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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
../inst/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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>]'
../inst/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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>]'
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >':
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
../inst/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::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
../inst/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::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
../inst/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::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >':
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
../inst/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::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >':
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> > >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> > >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >':
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> > >'
../inst/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> > >'
../inst/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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >':
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, Eigen::internal::IndexBased, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> > >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> > >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >':
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> > >'
../inst/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> > >'
../inst/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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >':
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> > >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> > >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >':
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> > >'
../inst/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> > >'
../inst/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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >':
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> > >'
../inst/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> > >'
../inst/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<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
../inst/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   required from 'Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:153:25:   required from 'void EIGEN_EIGEN_INTERNAL(const Eigen::MatrixBase<Derived>&, bool, bool, EIGEN_EIGENCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:106:25:   required from 'nimSmartPtr<EIGEN_EIGENCLASS_R> EIGEN_EIGEN_R(const Eigen::MatrixBase<Derived>&, bool, bool) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:172:51:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >':
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >'
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
../inst/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::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >':
../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
../inst/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::Matrix<double, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, 1, -1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/nimble/EigenTypedefs.h:201:17:   required from 'void EIGEN_SVD_INTERNAL(const Eigen::MatrixBase<Derived>&, int, EIGEN_SVDCLASS_R*) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
../inst/include/nimble/EigenTypedefs.h:113:23:   required from 'nimSmartPtr<EIGEN_SVDCLASS_R> EIGEN_SVD_R(const Eigen::MatrixBase<Derived>&, int) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
eigenUsingClasses.cpp:185:45:   required from here
../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In function 'static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >]':
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: warning: 'result' may be used uninitialized [-Wmaybe-uninitialized]
  227 |     internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  228 |                                                 int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  229 |       (
      |       ^
  230 |         lhs.rows(),                             // size
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |         &lhs.coeffRef(0,0),  lhs.outerStride(), // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |         actualRhsPtr,                           // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |         actualDestPtr,                          // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |         actualAlpha                             // scale factor
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |       );
      |       ~
../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:41:6: note: by argument 4 of type 'const double*' to 'static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]' declared here
   41 | void selfadjoint_matrix_vector_product<Scalar,Index,StorageOrder,UpLo,ConjugateLhs,ConjugateRhs,Version>::run(
      |      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from ../inst/include/Eigen/Core:341:
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6]':
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: 'result' may be used uninitialized [-Wmaybe-uninitialized]
  327 |     internal::triangular_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  328 |       <Index,Mode,
      |       ~~~~~~~~~~~~
  329 |        LhsScalar, LhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  330 |        RhsScalar, RhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  331 |        RowMajor>
      |        ~~~~~~~~~
  332 |       ::run(actualLhs.rows(),actualLhs.cols(),
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  333 |             actualLhs.data(),actualLhs.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  334 |             actualRhsPtr,1,
      |             ~~~~~~~~~~~~~~~
  335 |             dest.data(),dest.innerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  336 |             actualAlpha);
      |             ~~~~~~~~~~~~
../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type 'const double*' to 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0]' declared here
  105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product<Index,Mode,LhsScalar,ConjLhs,RhsScalar,ConjRhs,RowMajor,Version>
      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DR_NO_REMAP -I../inst/include    -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c nimble.cpp -o nimble.o
In file included from ../inst/include/Eigen/Core:205,
                 from ../inst/include/Eigen/Dense:1,
                 from nimble.cpp:1:
../inst/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;
      |                                        ^
../inst/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;
      |                                        ^
../inst/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 }; };
      |                                       ^
../inst/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 }; };
      |                                        ^
../inst/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 }; };
      |                                        ^
../inst/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> {
      |                                           ^
../inst/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> {
      |                                           ^
../inst/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) {
      |                                  ^
../inst/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 ../inst/include/Eigen/Core:174:
../inst/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> {          \
      |                                                            ^
../inst/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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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> {          \
      |                                                            ^
../inst/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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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> {          \
      |                                                            ^
../inst/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)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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> {          \
      |                                                            ^
../inst/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 ../inst/include/Eigen/Core:165:
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
../inst/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
../inst/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
../inst/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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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]
../inst/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]
../inst/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 ../inst/include/Eigen/Core:271:
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
../inst/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
../inst/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
../inst/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
../inst/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;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
../inst/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
../inst/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
../inst/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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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]
../inst/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]
../inst/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;
      |                                                                                        ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
../inst/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
../inst/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
../inst/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
../inst/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;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
../inst/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
../inst/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../inst/include/nimble/EigenTypedefs.h:146:24:   required from here
../inst/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>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/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]
../inst/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]
../inst/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;
      |                                                                                        ^~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
../inst/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:82:26:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../inst/include/nimble/EigenTypedefs.h:146:24:   required from here
../inst/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;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
../inst/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../inst/include/nimble/EigenTypedefs.h:146:24:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
../inst/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>'
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../inst/include/nimble/EigenTypedefs.h:146:24:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
../inst/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
../inst/include/nimble/EigenTypedefs.h:146:24:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
../inst/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
../inst/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:277:16:   required from 'class Eigen::HessenbergDecomposition<Eigen::Matrix<double, -1, -1> >'
../inst/include/Eigen/src/Eigenvalues/RealSchur.h:230:41:   required from 'class Eigen::RealSchur<Eigen::Matrix<double, -1, -1> >'
../inst/include/Eigen/src/Eigenvalues/EigenSolver.h:316:27:   required from 'class Eigen::EigenSolver<Eigen::Matrix<double, -1, -1> >'
../inst/include/nimble/EigenTypedefs.h:156:47:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >'
../inst/include/nimble/EigenTypedefs.h:156:68:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >, 0>':
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> > >'
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_imag_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, 1> >'
../inst/include/nimble/EigenTypedefs.h:161:35:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1> > >'
../inst/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 0>'
../inst/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1> >, 1>'
../inst/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1> >'
../inst/include/nimble/EigenTypedefs.h:163:16:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../inst/include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >'
../inst/include/nimble/EigenTypedefs.h:173:58:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 0>':
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 1>'
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 3>'
../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
../inst/include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>'
../inst/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::internal::scalar_imag_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >'
../inst/include/nimble/EigenTypedefs.h:175:38:   required from here
../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DR_NO_REMAP -I../inst/include    -I"d:/rtools43/x86_64-w64-mingw32.static.posix/include"     -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign  -c nimbleGraph.cpp -o nimbleGraph.o
g++ -std=gnu++17 -shared -s -static-libgcc -o nimble.dll tmp.def RcppUtils.o dists.o eigenUsingClasses.o nimble.o nimbleGraph.o -lRlapack -lRblas -Ld:/rtools43/x86_64-w64-mingw32.static.posix/lib/x64 -Ld:/rtools43/x86_64-w64-mingw32.static.posix/lib -LD:/RCompile/recent/R/bin/x64 -lR
installing to d:/RCompile/CRANincoming/R-devel/lib/00LOCK-nimble/00new/nimble/libs/x64
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** 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 (nimble)