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Support linear/BN fusion and follow the API guideline by jaewoosong · Pull Request #141585 · pytorch/pytorch · GitHub
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@jaewoosong jaewoosong commented Nov 26, 2024

Current fuse function supports conv/BN fusions only. This commit is to support linear/BN fusion as well. Changes to follow the API guidelines are also applied.

(This will close the PR #141352 which I created for the same topic and got approval but had lint and API guideline problems.)

cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv

Current `fuse` function supports conv/BN fusions only. This commit is to support linear/BN fusion as well. Changes to follow the API guidelines are also applied.
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🧪 See artifacts and rendered test results at hud.pytorch.org/pr/141585

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@pytorch-bot pytorch-bot bot added the release notes: fx release notes category label Nov 26, 2024
@colesbury colesbury added the triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module label Nov 26, 2024
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ezyang commented Nov 27, 2024

@pytorchbot merge

@pytorch-bot pytorch-bot bot added the ciflow/trunk Trigger trunk jobs on your pull request label Nov 27, 2024
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pobin6 pushed a commit to pobin6/pytorch that referenced this pull request Dec 5, 2024
Current `fuse` function supports conv/BN fusions only. This commit is to support linear/BN fusion as well. Changes to follow the API guidelines are also applied.

(This will close the PR pytorch#141352 which I created for the same topic and got approval but had lint and API guideline problems.)

Pull Request resolved: pytorch#141585
Approved by: https://github.com/ezyang
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