-
Notifications
You must be signed in to change notification settings - Fork 25.6k
Add a new API torch.xpu.can_device_access_peer for Intel GPU #162705
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Conversation
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/162705
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 01f80e0 with merge base 8e217a9 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
ci is failin |
@pytorchbot rebase |
Rebase to the latest viable/strict branch to re-trigger CI. |
@pytorchbot started a rebase job onto refs/remotes/origin/viable/strict. Check the current status here |
Successfully rebased |
@ezyang CI passed. May I know if you have any other comments. |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
sure why not
@pytorchbot merge |
Merge startedYour change will be merged once all checks pass (ETA 0-4 Hours). Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
Thanks very much~ |
…#162705) # Motivation Aligned with other backends, this PR introduces an new API `torch.xpu.can_device_access_peer`, which is used in vllm distributed [scenarios](https://github.com/vllm-project/vllm/blob/2048c4e37909a42847cd2f51c7e0cf92e3b63466/vllm/distributed/device_communicators/custom_all_reduce.py#L37) Pull Request resolved: pytorch#162705 Approved by: https://github.com/EikanWang, https://github.com/ezyang
…#162705) # Motivation Aligned with other backends, this PR introduces an new API `torch.xpu.can_device_access_peer`, which is used in vllm distributed [scenarios](https://github.com/vllm-project/vllm/blob/2048c4e37909a42847cd2f51c7e0cf92e3b63466/vllm/distributed/device_communicators/custom_all_reduce.py#L37) Pull Request resolved: pytorch#162705 Approved by: https://github.com/EikanWang, https://github.com/ezyang
…#162705) # Motivation Aligned with other backends, this PR introduces an new API `torch.xpu.can_device_access_peer`, which is used in vllm distributed [scenarios](https://github.com/vllm-project/vllm/blob/2048c4e37909a42847cd2f51c7e0cf92e3b63466/vllm/distributed/device_communicators/custom_all_reduce.py#L37) Pull Request resolved: pytorch#162705 Approved by: https://github.com/EikanWang, https://github.com/ezyang
…#162705) # Motivation Aligned with other backends, this PR introduces an new API `torch.xpu.can_device_access_peer`, which is used in vllm distributed [scenarios](https://github.com/vllm-project/vllm/blob/2048c4e37909a42847cd2f51c7e0cf92e3b63466/vllm/distributed/device_communicators/custom_all_reduce.py#L37) Pull Request resolved: pytorch#162705 Approved by: https://github.com/EikanWang, https://github.com/ezyang
Stack from ghstack (oldest at bottom):
Motivation
Aligned with other backends, this PR introduces an new API
torch.xpu.can_device_access_peer
, which is used in vllm distributed scenarios