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14054e217f
eigen/Eigen
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Rasmus Munk Larsen 14054e217f Do not rely on the compiler generating __device__ functions for constexpr in Cuda (via EIGEN_CONSTEXPR_ARE_DEVICE_FUNC. This breaks several target in the TensorFlow Cuda build, e.g., 
INFO: From Compiling tensorflow/core/kernels/maxpooling_op_gpu.cu.cc:
/b/f/w/run/external/eigen_archive/Eigen/src/Core/arch/GPU/Half.h(197): error: calling a __host__ function("std::equal_to<float> ::operator () const") from a __global__ function("tensorflow::_NV_ANON_NAMESPACE::MaxPoolGradBackwardNoMaskNHWC< ::Eigen::half> ") is not allowed

/b/f/w/run/external/eigen_archive/Eigen/src/Core/arch/GPU/Half.h(197): error: identifier "std::equal_to<float> ::operator () const" is undefined in device code"

/b/f/w/run/external/eigen_archive/Eigen/src/Core/arch/GPU/Half.h(197): error: calling a __host__ function("std::equal_to<float> ::operator () const") from a __global__ function("tensorflow::_NV_ANON_NAMESPACE::MaxPoolGradBackwardNoMaskNCHW< ::Eigen::half> ") is not allowed

/b/f/w/run/external/eigen_archive/Eigen/src/Core/arch/GPU/Half.h(197): error: identifier "std::equal_to<float> ::operator () const" is undefined in device code

4 errors detected in the compilation of "/tmp/tmpxft_00000011_00000000-6_maxpooling_op_gpu.cu.cpp1.ii".
ERROR: /tmpfs/tensor_flow/tensorflow/core/kernels/BUILD:3753:1: output 'tensorflow/core/kernels/_objs/pooling_ops_gpu/maxpooling_op_gpu.cu.pic.o' was not created
ERROR: /tmpfs/tensor_flow/tensorflow/core/kernels/BUILD:3753:1: Couldn't build file tensorflow/core/kernels/_objs/pooling_ops_gpu/maxpooling_op_gpu.cu.pic.o: not all outputs were created or valid
2018-10-22 16:18:24 -07:00
..
src Do not rely on the compiler generating __device__ functions for constexpr in Cuda (via EIGEN_CONSTEXPR_ARE_DEVICE_FUNC. This breaks several target in the TensorFlow Cuda build, e.g., 2018-10-22 16:18:24 -07:00
Cholesky bug #1455: Cholesky module depends on Jacobi for rank-updates. 2017-08-22 11:37:32 +02:00
CholmodSupport
CMakeLists.txt
Core bug #65: add vectorization of partial reductions along the outer-dimension, for instance: colmajor_mat.rowwise().mean() 2018-10-09 23:36:50 +02:00
Dense
Eigen
Eigenvalues Old gcc versions have problems with recursive #pragma GCC diagnostic push/pop 2018-08-28 11:44:15 +02:00
Geometry Old gcc versions have problems with recursive #pragma GCC diagnostic push/pop 2018-08-28 11:44:15 +02:00
Householder
IterativeLinearSolvers
Jacobi
KLUSupport Move KLU support to official 2017-11-10 14:11:22 +01:00
LU use MKL's lapacke.h header when using MKL 2017-08-17 21:58:39 +02:00
MetisSupport
OrderingMethods
PardisoSupport Extend CUDA support to matrix inversion and selfadjointeigensolver 2018-06-11 18:33:24 +02:00
PaStiXSupport clarify Pastix requirements 2017-11-27 22:11:57 +01:00
QR Old gcc versions have problems with recursive #pragma GCC diagnostic push/pop 2018-08-28 11:44:15 +02:00
QtAlignedMalloc bug #1468 (1/2) : add missing std:: to memcpy 2017-09-22 09:23:24 +02:00
Sparse bug #1392: fix #include <Eigen/Sparse> with mpl2-only 2017-02-11 10:35:01 +01:00
SparseCholesky
SparseCore
SparseLU Fix numerous shadow-warnings for GCC<=4.8 2018-08-28 18:32:39 +02:00
SparseQR Old gcc versions have problems with recursive #pragma GCC diagnostic push/pop 2018-08-28 11:44:15 +02:00
SPQRSupport
StdDeque bug #1389: MSVC's std containers do not properly align in 64 bits mode if the requested alignment is larger than 16 bytes (e.g., with AVX) 2017-02-03 15:22:35 +01:00
StdList bug #1389: MSVC's std containers do not properly align in 64 bits mode if the requested alignment is larger than 16 bytes (e.g., with AVX) 2017-02-03 15:22:35 +01:00
StdVector bug #1389: MSVC's std containers do not properly align in 64 bits mode if the requested alignment is larger than 16 bytes (e.g., with AVX) 2017-02-03 15:22:35 +01:00
SuperLUSupport
SVD use MKL's lapacke.h header when using MKL 2017-08-17 21:58:39 +02:00
UmfPackSupport