Run XNNPACK on single workflow #1071
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We don't need to install the full ExecuTorch package
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@kirklandsign has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator. |
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@kirklandsign has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator. |
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@pytorchbot drci (Please ignore this, I'm testing Dr.CI on ET) |
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/1071
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 218ee01 with merge base 8967271 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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@kirklandsign has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator. |
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@kirklandsign merged this pull request in 1998177. |
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Run XNNPACK (delegation-only, quantization-only, delegation+quantization) on a single workflow to save the number of jobs.