Add uint8/int8 specializations for conv per tensor #14033
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/14033
Note: Links to docs will display an error until the docs builds have been completed. ❌ 1 New Failure, 1 Unrelated FailureAs of commit 8bfcd6d with merge base 8973eeb ( NEW FAILURE - The following job has failed:
BROKEN TRUNK - The following job failed but were present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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Summary: Pull Request resolved: pytorch#14033 Continued support of adding custom Cadence python references Reviewed By: hsharma35 Differential Revision: D81720359
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Many of my pipeline jobs are failing with Error: API rate limit exceeded for installation. If you reach out to GitHub Support for help, please include the request ID D1E6:272B66:27836A:8E938B:68C05C81 and timestamp 2025-09-09 16:57:37 UTC. - https://docs.github.com/rest/overview/rate-limits-for-the-rest-apiduring checkout repository in determining default branch. ex. https://github.com/pytorch/executorch/actions/runs/17589737816/job/49967329912?pr=14033 Any suggestions on what can be done/connect me with the right person to ask? 
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@huydhn do you know what's going on here? |
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If checking out fails, this means an issue on GitHub. Not much we could do beside (1) retrying, and (2) escalate this to GitHub. Let me gather some data point for (2) |
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Summary: Continued support of adding custom Cadence python references
Reviewed By: hsharma35
Differential Revision: D81720359