[ROCm] Tune 3d tensor sums when not using fastest dimension#146170
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doru1004 wants to merge 1 commit intopytorch:mainfrom
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[ROCm] Tune 3d tensor sums when not using fastest dimension#146170doru1004 wants to merge 1 commit intopytorch:mainfrom
doru1004 wants to merge 1 commit intopytorch:mainfrom
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/146170
Note: Links to docs will display an error until the docs builds have been completed. ✅ You can merge normally! (2 Unrelated Failures)As of commit de38353 with merge base 550441a ( BROKEN TRUNK - The following jobs failed but were present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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@pytorchbot rebase |
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@pytorchbot started a rebase job onto refs/remotes/origin/viable/strict. Check the current status here |
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Successfully rebased |
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jeffdaily
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Feb 3, 2025
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@pytorchbot merge |
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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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Feb 6, 2025
…146170) Tune 3d tensor sums when not using fastest dimension. Pull Request resolved: pytorch#146170 Approved by: https://github.com/jeffdaily
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Tune 3d tensor sums when not using fastest dimension.
cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd