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[ONNX] Add third_party/onnx to merge rule
#84715
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/84715
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit f65e263: This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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#83201 could be approved/merged by us with this PR |
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@pytorchbot rebase |
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@malfet please take a look and let me know if it makes sense. |
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@pytorchbot successfully started a rebase job. Check the current status here |
We expect to bump onnx submodule version regularly to develop support for new onnx operators/functions. Adding this to merge rule reduces the burden for core maintainers for approval.
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Successfully rebased |
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We can give it a try, but 3rd party is a bit tricky as it can add additional submodules and cause internal regressions.
Sure, we will treat with caution and check with you if there are larger changes other than releasing new operator/opset. |
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@pytorchbot merge -g |
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@pytorchbot successfully started a merge job. Check the current status here. |
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Hey @BowenBao. |
We expect to bump onnx submodule version regularly to develop support for new onnx operators/functions. Adding this to merge rule reduces the burden for core maintainers for approval. Pull Request resolved: #84715 Approved by: https://github.com/thiagocrepaldi, https://github.com/malfet
We expect to bump onnx submodule version regularly to develop support for new onnx operators/functions. Adding this to merge rule reduces the burden for core maintainers for approval.