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Summary:

  • op_avg_pool2d
  • op_softmax
  • op_conv*d

Differential Revision: D88081853

Hardik Sharma added 3 commits December 1, 2025 08:56
Summary:
Pull Request resolved: pytorch#15982

as titled

Differential Revision: D87882617

Reviewed By: skrtskrtfb, zonglinpeng
Summary:
Pull Request resolved: pytorch#15983

Migrates cadence custom operators to oss.

Differential Revision: D87880917

Reviewed By: ethansfng
Summary: Stick to `op_<NAME>` convention for operator library.

Differential Revision: D88079745
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pytorch-bot bot commented Dec 1, 2025

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/16023

Note: Links to docs will display an error until the docs builds have been completed.

❌ 1 New Failure

As of commit 7fd66d2 with merge base 60a2bd6 (image):

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@meta-cla meta-cla 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 Dec 1, 2025
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meta-codesync bot commented Dec 1, 2025

@hsharma35 has exported this pull request. If you are a Meta employee, you can view the originating Diff in D88081853.

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github-actions bot commented Dec 1, 2025

This PR needs a release notes: label

If your change should be included in the release notes (i.e. would users of this library care about this change?), please use a label starting with release notes:. This helps us keep track and include your important work in the next release notes.

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Summary:
Pull Request resolved: pytorch#16023

* op_avg_pool2d
* op_softmax
* op_conv*d

Reviewed By: mcremon-meta

Differential Revision: D88081853
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2 participants