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36f8f6d0be
evalShardedByInnerDim ensures that the values it passes for start_k and end_k to evalGemmPartialWithoutOutputKernel are multiples of 8 as the kernel does not work correctly when the values of k are not multiples of the packet_size. While this precaution works for AVX builds, it is insufficient for AVX512 builds where the maximum packet size is 16. The result is slightly incorrect float32 contractions on AVX512 builds. This commit fixes the problem by ensuring that k is always a multiple of the packet_size if the packet_size is > 8. |
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bench | ||
blas | ||
cmake | ||
debug | ||
demos | ||
doc | ||
Eigen | ||
failtest | ||
lapack | ||
scripts | ||
test | ||
unsupported | ||
.hgeol | ||
.hgignore | ||
CMakeLists.txt | ||
COPYING.BSD | ||
COPYING.GPL | ||
COPYING.LGPL | ||
COPYING.MINPACK | ||
COPYING.MPL2 | ||
COPYING.README | ||
CTestConfig.cmake | ||
CTestCustom.cmake.in | ||
eigen3.pc.in | ||
INSTALL | ||
README.md | ||
signature_of_eigen3_matrix_library |
Eigen is a C++ template library for linear algebra: matrices, vectors, numerical solvers, and related algorithms.
For more information go to http://eigen.tuxfamily.org/.
For pull request please only use the official repository at https://bitbucket.org/eigen/eigen.
For bug reports and feature requests go to http://eigen.tuxfamily.org/bz.