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[MPS] Improve the performance of torch.linear() #91114
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/91114
Note: Links to docs will display an error until the docs builds have been completed. ❌ 2 FailuresAs of commit 23553a2: FLAKY - The following jobs failed but were likely due to flakiness present on master:
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Looks good
Looking forward for this one! |
@pytorchbot rebase |
@pytorchbot successfully started a rebase job. Check the current status here |
* Improve the performance of torch.linear() * Clean up redundant headers and namespaces from Linear.mm
Successfully rebased |
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Thanks @malfet . I addressed the comments. |
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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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Overall looks fine, please add the comment with Github issue.
Created the issue #91737 to track the optimizations for torch.linear(). |
Merge failedReason: 2 additional jobs have failed, first few of them are: trunk ,trunk / linux-focal-rocm5.3-py3.8 / test (default, 1, 2, linux.rocm.gpu) Details for Dev Infra teamRaised by workflow job |
@pytorchbot merge -f "MPS tests are green" |
Merge startedYour change will be merged immediately since you used the force (-f) flag, bypassing any CI checks (ETA: 1-5 minutes). Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 @mlazos @soumith @voznesenskym @yanboliang @penguinwu @anijain2305 @EikanWang @Guobing-Chen @chunyuan-w @zhuhaozhe @blzheng @Xia-Weiwen @wenzhe-nrv @jiayisunx @peterbell10 @desertfire @kulinseth @albanD @malfet @DenisVieriu97 @abhudev