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2859db0220
The issue was discovered when the GPU scan unit test was run and resulted in a segmentation fault. The segmantation fault occurred because the unit test allocated GPU memory and passed a pointer to that memory to the computation that it presumed would execute on the GPU. But because of the issue, the computation was scheduled to execute on the CPU so a situation was constructed where the CPU attempted to access a GPU memory location. The fix expands the GPU specific ScanLauncher specialization to handle cases where vectorization is enabled. Previously, the GPU specialization is chosen only if Vectorization is not used. |
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.gitlab | ||
bench | ||
blas | ||
ci | ||
cmake | ||
debug | ||
demos | ||
doc | ||
Eigen | ||
failtest | ||
lapack | ||
scripts | ||
test | ||
unsupported | ||
.gitignore | ||
.gitlab-ci.yml | ||
.hgeol | ||
CMakeLists.txt | ||
COPYING.APACHE | ||
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, bug reports, and feature requests, go to https://gitlab.com/libeigen/eigen.