Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/56423 Test Plan: Imported from OSS Reviewed By: bertmaher Differential Revision: D27866606 Pulled By: ailzhang fbshipit-source-id: e3942356dc3133d1c5722de40ec0d45e6a60f2f1 |
||
|---|---|---|
| .. | ||
| DeviceGuardImplInterface.cpp | ||
| DeviceGuardImplInterface.h | ||
| FakeGuardImpl.h | ||
| InlineDeviceGuard.h | ||
| InlineEvent.h | ||
| InlineStreamGuard.h | ||
| LocalDispatchKeySet.cpp | ||
| LocalDispatchKeySet.h | ||
| README.md | ||
| SizesAndStrides.cpp | ||
| SizesAndStrides.h | ||
| VirtualGuardImpl.h | ||
c10/core/impl provides headers for functionality that is only needed in very specific use-cases (e.g., you are defining a new device type), which are generally only needed by C10 or PyTorch code. If you are an ordinary end-user, you should not use headers in this folder. We permanently give NO backwards-compatibility guarantees for implementations in this folder.
Compare with c10/util, which provides functionality that is not directly related to being a deep learning library (e.g., C++20 polyfills), but may still be generally useful and visible to users.
(We don't call this c10/detail, because the detail namespace convention is for header private details. However, c10::impl may be utilized from external headers; it simply indicates that the functionality is not for end users.)