[tune](deps): Bump pytorch-lightning from 1.0.3 to 1.3.5 in /python/requirements/tune #35
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Bumps [pytorch-lightning](https://github.com/PyTorchLightning/pytorch-lightning) from 1.0.3 to 1.3.5. - [Release notes](https://github.com/PyTorchLightning/pytorch-lightning/releases) - [Changelog](https://github.com/PyTorchLightning/pytorch-lightning/blob/1.3.5/CHANGELOG.md) - [Commits](Lightning-AI/pytorch-lightning@1.0.3...1.3.5) --- updated-dependencies: - dependency-name: pytorch-lightning dependency-type: direct:production update-type: version-update:semver-minor ... Signed-off-by: dependabot[bot] <support@github.com>
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Bumps pytorch-lightning from 1.0.3 to 1.3.5.
Release notes
Sourced from pytorch-lightning's releases.
... (truncated)
Changelog
Sourced from pytorch-lightning's changelog.
... (truncated)
Commits
c292788[bugfix] Minor improvements toapply_to_collectionand type signature of `l...8a5a56bv1.3.5 & CHANGELOG9afab6fMovetraining_outputvalidation to aftertrain_step_end(#7868)6c7ae16[bugfix] Resolve LearningRateMonitor + BackboneFinetuning (#7835)933aebcupdate fsspec to 2021.06.0 (#7869)29d72a9Fix NVIDIA docker versions (#7834)290a3f0Add warning to trainstep output (#7779)55f52a1[sharded plugin] Fix check for fp16 precision (#7825)057f05fFix support for torch Module type hints in LightningCLI (#7807)61525f6update changelog + increment versionDependabot 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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