Zhenbin Lin d36fdaf157 Openreg: Support stream (#136991) ... Support stream. When the driver communicates with the executor, it will send the stream id corresponding to the execution command; when the executor receives the command with the stream id, it will ignore the stream id because cpu backend doesn't support asynchronous execution. Pull Request resolved: https://github.com/pytorch/pytorch/pull/136991 Approved by: https://github.com/ezyang		2024-11-07 06:09:07 +00:00
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no_python_abi_suffix_test
open_registration_extension	Openreg: Support stream (#136991)	2024-11-07 06:09:07 +00:00
self_compiler_include_dirs_test
torch_test_cpp_extension
cpp_c10d_extension.cpp
cpp_c10d_extension.hpp
cpp_frontend_extension.cpp
cublas_extension.cpp
cuda_dlink_extension.cpp
cuda_dlink_extension_add.cu
cuda_dlink_extension_add.cuh
cuda_dlink_extension_kernel.cu
cuda_extension.cpp
cuda_extension.cu
cuda_extension_kernel.cu
cuda_extension_kernel2.cu
cudnn_extension.cpp
cusolver_extension.cpp
dangling_impl_extension.cpp
doubler.h
extension.cpp
identity.cpp
jit_extension.cpp
jit_extension2.cpp
maia_extension.cpp
mps_extension.mm	[BE] Use helper functions in mps_extension (#137313)	2024-10-04 00:26:38 +00:00
mtia_extension.cpp	Make Context to be Device-agnostic Step by Step (1/N) (#136519) (#138155)	2024-10-17 20:58:56 +00:00
open_registration_extension.cpp
rng_extension.cpp
setup.py
torch_library.cu