Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/56830
Opt into formatting on GitHub and format everything. This is a trial run before turning on formatting for more and eventually all of the codebase.
Test Plan: CI
Reviewed By: zertosh
Differential Revision: D27979080
fbshipit-source-id: a80f0c48691c08ae8ca0af06377b87e6a2351151
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/57049
There was a comment above CUDAMultiStreamGuard which said "TODO: Implement this generically in c10". This is what I'm doing here.
The new generic MultiStreamGuard class is able to take a vector of device-agnostic c10::Streams and is able to support any device type (CUDA, but also ROCm and others) by using a VirtualGuardImpl. A class called CUDAMultiStreamGuard is still kept around, for convenience, and slightly for performance as it avoids a vtable lookup.
ghstack-source-id: 127713139
(Note: this ignores all push blocking failures!)
Test Plan: CI
Reviewed By: mrshenli
Differential Revision: D28029158
fbshipit-source-id: 2f3181371f8cb0d77a3b2e6aa510f1dd74e8f69b
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/15316
This starts cleaning up the files in c10 according to the module structure we decided on.
Move to c10/util:
- Half.h, Half-inl.h, Half.cpp, bitcasts.h
Move to c10/core:
- Device.h, Device.cpp
- DeviceType.h, DeviceType.cpp
i-am-not-moving-c2-to-c10
Reviewed By: dzhulgakov
Differential Revision: D13498493
fbshipit-source-id: dfcf1c490474a12ab950c72ca686b8ad86428f63
