Use torch with statement in torch distributed module #144951
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/144951
Note: Links to docs will display an error until the docs builds have been completed. ✅ You can merge normally! (1 Unrelated Failure)As of commit 17eb712 with merge base 0b17c09 ( BROKEN TRUNK - The following job failed but were present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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pytorch-bot
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oncall: distributed
guangyey
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ciflow/trunk
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Thanks @kwen2501 |
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@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 |
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Stack from ghstack (oldest at bottom):
Motivation
In #137678, we help use the device-agnostic APIs to generalize distributed module. As this comment said, we will use the with statement of
torch.Streamonce #140138 is landed.cc @H-Huang @awgu @kwen2501 @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o