Bump pytorch-lightning from 2.0.6 to 2.0.7 in /runtimes/mlflow #1339
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Bumps [pytorch-lightning](https://github.com/Lightning-AI/lightning) from 2.0.6 to 2.0.7. - [Release notes](https://github.com/Lightning-AI/lightning/releases) - [Commits](Lightning-AI/pytorch-lightning@2.0.6...2.0.7) --- updated-dependencies: - dependency-name: pytorch-lightning dependency-type: direct:development update-type: version-update:semver-patch ... Signed-off-by: dependabot[bot] <[email protected]>
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Bumps pytorch-lightning from 2.0.6 to 2.0.7.
Release notes
Sourced from pytorch-lightning's releases.
... (truncated)
Commits
34c3fb9update ci for legacy upload (#18316)d2d9711releasing 2.0.76b9e0a5Support skipping training step when using mixed precision training (#18267)6d63651Refresh the internal LightningOptimizer state for inspection (#18280)92d689eSupport None from training_step in LRFinder (#18129)9cf52ecDisable auto-detection of Kubeflow environment (#18137)2d5192bfix badges in readme (#18260)0e62347improve debug failing warning test (#18271)28e0bddExplicitly enable grad in closure (#18268)cfefd09Makeall_reduceconsistent for both NCCL and GLOO (#18235)Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
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