frozenleaves/pytorch
1
0
Fork 0
mirror of https://github.com/pytorch/pytorch.git synced 2025-10-20 21:14:14 +08:00
Code Issues Packages Projects Releases Wiki Activity

fix link for tutorial of inductor on windows (#159853)

Browse Source 
fix link issue from https://docs.pytorch.org/tutorials/prototype/inductor_windows.html to https://docs.pytorch.org/tutorials/unstable/inductor_windows.html due to structure change with pr https://github.com/pytorch/tutorials/pull/3489
Pull Request resolved: https://github.com/pytorch/pytorch/pull/159853
Approved by: https://github.com/sekyondaMeta

Co-authored-by: sekyondaMeta <127536312+sekyondaMeta@users.noreply.github.com>
Co-authored-by: Zesheng Zong <zesheng.zong@outlook.com>
This commit is contained in:
Zheng, Zhaoqiong
2025-08-05 18:37:47 +00:00
committed by PyTorch MergeBot
parent aeb5321b63
commit 0ba09a6d34
1 changed files with 1 additions and 1 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
docs/source/notes/get_start_xpu.rst
View File

@ -107,7 +107,7 @@ If you are migrating code from ``cuda``, you would change references from ``cuda
The following points outline the support and limitations for PyTorch with Intel GPU:
#. Both training and inference workflows are supported.
#. Both eager mode and ``torch.compile`` is supported. The feature ``torch.compile`` is also supported on Windows from PyTorch* 2.7 with Intel GPU, refer to `How to Use Inductor on Windows with CPU/XPU <https://pytorch.org/tutorials/prototype/inductor_windows.html>`_.
#. Both eager mode and ``torch.compile`` is supported. The feature ``torch.compile`` is also supported on Windows from PyTorch* 2.7 with Intel GPU, refer to `How to use torch.compile on Windows CPU/XPU <https://pytorch.org/tutorials/unstable/inductor_windows.html>`_.
#. Data types such as FP32, BF16, FP16, and Automatic Mixed Precision (AMP) are all supported.
Examples