3 Commits

Author	SHA1	Message	Date
Michael Dagitses	661d10aab4	use c10/macros/cmake_macros.h in fbcode build (#70851) ... Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/70851 This is a step towards OSS/fbcode convergence since OSS uses this file in both CMake and Bazel. ghstack-source-id: 147170896 Test Plan: Relying on the extensive CI internal tests for this. Reviewed By: malfet Differential Revision: D33299102 fbshipit-source-id: c650dd4755f8d696d5fce81c583d5c73782e3990 (cherry picked from commit 741ca140c8)	2022-01-19 20:56:12 +00:00
Dmytro Dzhulgakov	96ea2594d8	Don't call cudaStreamDestroy at destruction time (#15692) ... Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/15692 It was leading to ocassional crashes with dynamically linked CUDA because runtime was already destroyed. Also, unique_ptr<T[]> is more suitable than deque<T> for the purpose. Reviewed By: Yangqing Differential Revision: D13571988 fbshipit-source-id: 37eb26dfbe361c49160367b53f87bd037c6c0e46	2019-01-11 12:36:41 -08:00
Edward Yang	928687bb24	Add c10 cuda library. (#13900) ... Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/13900 Add c10 cuda library. Right now, this is not used by anything, and only tests if the CUDA headers are available (and not, e.g., that linking works.) Extra changes: - cmake/public/cuda.cmake now is correctly include guarded, so you can include it multiple times without trouble. Signed-off-by: Edward Z. Yang <ezyang@fb.com> Reviewed By: smessmer Differential Revision: D13025313 fbshipit-source-id: fda85b4c35783ffb48ddd6bbb98dbd9154119d86	2018-11-19 08:20:07 -08:00