pytorch

ba14a701 - restore proper cuda assert behavior with DNDEBUG (#38943)

restore proper cuda assert behavior with DNDEBUG (#38943) Summary: Per title. https://github.com/pytorch/pytorch/issues/32719 essentially disabled asserts in cuda kernels in release build. Asserts in cuda kernels are typically used to prevent invalid reads/writes, so without asserts invalid read/writes are silent errors in most cases (sometimes they would still cause "illegal memory access" errors, but because of caching allocator this usually won't happen). We don't need 2 macros, CUDA_ALWAYS_ASSERT and CUDA_KERNEL_ASSERT because all current asserts in cuda kernels are important to prevent illegal memory accesses, and they should never be disabled. This PR removes macro CUDA_ALWAYS_ASSERT and instead makes CUDA_KERNEL_ASSERT (that is commonly used in the kernels) an asserttion both in release and debug builds. Fixes https://github.com/pytorch/pytorch/issues/38771 Pull Request resolved: https://github.com/pytorch/pytorch/pull/38943 Differential Revision: D21723767 Pulled By: ngimel fbshipit-source-id: d88d8aa1b047b476d5340e69311e65aff4da5074