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pytorch / executorch

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https://pytorch.org/executorch/
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[cadence][7/X] add remove ops to oss and callsites #6980

Open zonglinpeng opened 2 days ago

zonglinpeng commented 2 days ago

Stack from ghstack (oldest at bottom):

titled

Differential Revision: D66067650

pytorch-bot[bot] commented 2 days ago

:link: Helpful Links

:test_tube: See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/6980

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

:heavy_exclamation_mark: 1 Active SEVs

There are 1 currently active SEVs. If your PR is affected, please view them below:

:x: 3 New Failures

As of commit 7d6bbbf2118a88caa7d79f90e16b7d7fe778b3a5 with merge base 709e7395b0df155bd7d9a1329c160e39ef3e1f0e (image):

NEW FAILURES - The following jobs have failed:

* [Check Labels / Check labels](https://hud.pytorch.org/pr/pytorch/executorch/6980#33244943174) ([gh](https://github.com/pytorch/executorch/actions/runs/11928260769/job/33244943174)) `RuntimeError: Error checking labels: PR does not have required labels` * [Lint / lintrunner / linux-job](https://hud.pytorch.org/pr/pytorch/executorch/6980#33244934240) ([gh](https://github.com/pytorch/executorch/actions/runs/11928257054/job/33244934240)) `>>> Lint for backends/qualcomm/quantizer/custom_annotation.py:` * [pull / unittest-arm / linux-job](https://hud.pytorch.org/pr/pytorch/executorch/6980#33244934727) ([gh](https://github.com/pytorch/executorch/actions/runs/11928257071/job/33244934727)) `RuntimeError: Command docker exec -t d8cbe9a73dcd31b08ca6d58855c47866773c82e04d7131ff20950262e1926990 /exec failed with exit code 128`

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facebook-github-bot commented 2 days ago

This pull request was exported from Phabricator. Differential Revision: D66067650

github-actions[bot] commented 2 days ago

This PR needs a release notes: label

If your changes are user facing and intended to be a part of release notes, please use a label starting with release notes:.

If not, please add the topic: not user facing label.

To add a label, you can comment to pytorchbot, for example @pytorchbot label "topic: not user facing"

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