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Static attention: support overriding RMSNorm class #12833

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merged 1 commit into from
Jul 25, 2025

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@sxu sxu commented Jul 24, 2025

Summary: CoreML backend should not use the default torch.nn.RMSNorm because it leads to worse precision, where as QNN backend should as it leads to a single operator that's more efficient. Support overriding the normalization layer class.

Differential Revision: D78926603

@sxu sxu requested review from lucylq and jackzhxng as code owners July 24, 2025 21:50
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pytorch-bot bot commented Jul 24, 2025

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🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/12833

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@facebook-github-bot facebook-github-bot added the CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. label Jul 24, 2025
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This pull request was exported from Phabricator. Differential Revision: D78926603

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Summary:

CoreML backend should not use the default torch.nn.RMSNorm because it leads to worse precision, where as QNN backend should as it leads to a single operator that's more efficient. Support overriding the normalization layer class.

Reviewed By: YIWENX14, billmguo

Differential Revision: D78926603
@sxu sxu force-pushed the export-D78926603 branch from 0432fe2 to 09746d6 Compare July 25, 2025 17:17
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This pull request was exported from Phabricator. Differential Revision: D78926603

@facebook-github-bot facebook-github-bot merged commit 0211a03 into pytorch:main Jul 25, 2025
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4 participants