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build(deps): update onnxscript requirement from <0.5.0,>=0.1.0 to >=0.1.0,<0.6.0 in /requirements #21213
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build(deps): update onnxscript requirement from <0.5.0,>=0.1.0 to >=0.1.0,<0.6.0 in /requirements #21213
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Updates the requirements on [onnxscript](https://github.com/microsoft/onnxscript) to permit the latest version. - [Release notes](https://github.com/microsoft/onnxscript/releases) - [Commits](microsoft/onnxscript@v0.2.2...v0.5.0) --- updated-dependencies: - dependency-name: onnxscript dependency-version: 0.5.0 dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]>
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⚡ Required checks status: All passing 🟢Groups summary🟢 pytorch_lightning: Tests workflow
These checks are required after the changes to 🟢 pytorch_lightning: lit GPU
These checks are required after the changes to 🟢 Benchmarks
These checks are required after the changes to 🟢 pytorch_lightning: Docs
These checks are required after the changes to 🟢 mypy
These checks are required after the changes to 🟢 install
These checks are required after the changes to Thank you for your contribution! 💜
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Codecov Report✅ All modified and coverable lines are covered by tests.
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- Coverage 87% 79% -8%
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Files 269 266 -3
Lines 23732 23677 -55
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- Hits 20557 18662 -1895
- Misses 3175 5015 +1840 |
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A newer version of onnxscript exists, but since this PR has been edited by someone other than Dependabot I haven't updated it. You'll get a PR for the updated version as normal once this PR is merged. |
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Updates the requirements on onnxscript to permit the latest version.
Release notes
Sourced from onnxscript's releases.
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Commits
39f1015[torchlib] Implement torch.ops.prims.broadcast_in_dim.default (#2382)8ed3521Supportenable_gqaand only support 4D Q, K, and V (#2558)366f7be[torchlib] Fix repeat_interleave when repeats is a symbolic tensor (#2548)50d7e87[torchlib] Mark atan2 as trace_only and map NaN to 0 (#2557)710d597Fix rewriter and CI tests for the latest onnx-ir version (#2554)821015aAdd Conv-Affine(Mul+Add) and hardswish fusion (#2472)0e79b62[Rewriter] Add fuse batchnorm to default rules (#2553)647b22aBump version to 0.5.0 (#2538)cec5396Do not try to fold op.SplitToSequence when split isNone(#2550)9036fab[Rewriter] Support specifying node name in rewrites (#2474)You can trigger a rebase of this PR by commenting
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@dependabot rebasewill rebase this PR@dependabot recreatewill recreate this PR, overwriting any edits that have been made to it@dependabot mergewill merge this PR after your CI passes on it@dependabot squash and mergewill squash and merge this PR after your CI passes on it@dependabot cancel mergewill cancel a previously requested merge and block automerging@dependabot reopenwill reopen this PR if it is closed@dependabot closewill close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually@dependabot show <dependency name> ignore conditionswill show all of the ignore conditions of the specified dependency@dependabot ignore this major versionwill close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)@dependabot ignore this minor versionwill close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)@dependabot ignore this dependencywill close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)📚 Documentation preview 📚: https://pytorch-lightning--21213.org.readthedocs.build/en/21213/