OSSForks/pytorch
1
0
Fork 0
mirror of https://github.com/zebrajr/pytorch.git synced 2025-12-06 12:20:52 +01:00
Code Issues Actions 38 Packages Projects Releases Wiki Activity
79,047 Commits 8,304 Branches 150 Tags 1.5 GiB
8962610247
Commit Graph

4 Commits

Author SHA1 Message Date
Xuehai Pan
8962610247 [BE][clang-format] make macro PyObject_HEAD_INIT(type) and PyVarObject_HEAD_INIT(type, size) have its own line (#136949) 
Pull Request resolved: https://github.com/pytorch/pytorch/pull/136949
Approved by: https://github.com/albanD, https://github.com/eqy
ghstack dependencies: #136945
 2024-10-02 18:39:22 +00:00
Yu, Guangye
e0d3e4a498 remove unused code for XPU (#131856) 
# Motivation
This PR aims to remove unused code in PyTorch for XPU, following https://github.com/pytorch/pytorch/pull/128179
Otherwise, CI will block without this PR.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/131856
Approved by: https://github.com/EikanWang
 2024-07-26 02:57:12 +00:00
Yu, Guangye
1aa9099839 [CLANGTIDY] Enable clang-tidy in torch/csrc/xpu (#120616) 
# Motivation
refer to [#118504](https://github.com/pytorch/pytorch/pull/118504), enabling clang-tidy in `torch/csrc/xpu`.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/120616
Approved by: https://github.com/albanD
 2024-02-28 01:35:25 +00:00
Yu, Guangye
8fd11cb307 [2/2] Intel GPU Runtime Upstreaming for Stream (#117619) 
# Motivation
According to [[1/2] Intel GPU Runtime Upstreaming for Stream](https://github.com/pytorch/pytorch/pull/117611), as mentioned in [[RFC] Intel GPU Runtime Upstreaming](https://github.com/pytorch/pytorch/issues/114842), the second PR covers the changes under `python frontend`.

# Design
Currently, it primarily offers stream-related APIs, including
 - `torch.xpu.StreamContext`
 - `torch.xpu.current_stream`
 - `torch.xpu.set_stream`
 - `torch.xpu.synchronize`
 - `torch._C._xpu_getCurrentRawStream`

# Additional Context
We will implement functions like `torch.xpu.Stream.wait_event`, `torch.xpu.Stream.wait_stream`, and `torch.xpu.Stream.record_event` in the next PR related with `Event`.

The differences with CUDA:
no default and external stream in XPU and lack of below APIs:
- `torch.cuda.ExternalStream`
- `torch.cuda.default_stream`
- `toch.cuda.is_current_stream_capturing`

Pull Request resolved: https://github.com/pytorch/pytorch/pull/117619
Approved by: https://github.com/EikanWang, https://github.com/jgong5, https://github.com/gujinghui, https://github.com/albanD
ghstack dependencies: #117611
 2024-02-10 03:39:42 +00:00