Bump pytorch-lightning from 2.0.6 to 2.0.7 in /runtimes/mlflow

[dependabot]

Bumps pytorch-lightning from 2.0.6 to 2.0.7.

Release notes

Sourced from pytorch-lightning's releases.

Weekly patch release

App

Changed

• Removed the top-level import lightning.pdb; import lightning.app.pdb instead ((#18177))
• Client retries forever ((#18065))

Fixed

• Fixed an issue that would prevent the user to set the multiprocessing start method after importing lightning ((#18177))

---

Fabric

Changed

• Disabled the auto-detection of the Kubeflow environment ((#18137))

Fixed

• Fixed issue where DDP subprocesses that used Hydra would set hydra's working directory to current directory ((#18145))
• Fixed an issue that would prevent the user to set the multiprocessing start method after importing lightning ((#18177))
• Fixed an issue with Fabric.all_reduce() not performing an inplace operation for all backends consistently ((#18235))

---

PyTorch

Added

• Added LightningOptimizer.refresh() to update the __dict__ in case the optimizer it wraps has changed its internal state ((#18280))

Changed

• Disabled the auto-detection of the Kubeflow environment ((#18137))

Fixed

• Fixed a Missing folder exception when using a Google Storage URL as a default_root_dir ((#18088))
• Fixed an issue that would prevent the user to set the multiprocessing start method after importing lightning ((#18177))
• Fixed the gradient unscaling logic if the training step skipped backward (by returning None) ((#18267))
• Ensure that the closure running inside the optimizer step has gradients enabled, even if the optimizer step has it disabled ((#18268))
• Fixed an issue that could cause the LightningOptimizer wrapper returned by LightningModule.optimizers() have different internal state than the optimizer it wraps ((#18280))

---

Contributors

... (truncated)

Commits

• 34c3fb9 update ci for legacy upload (#18316)
• d2d9711 releasing 2.0.7
• 6b9e0a5 Support skipping training step when using mixed precision training (#18267)
• 6d63651 Refresh the internal LightningOptimizer state for inspection (#18280)
• 92d689e Support None from training_step in LRFinder (#18129)
• 9cf52ec Disable auto-detection of Kubeflow environment (#18137)
• 2d5192b fix badges in readme (#18260)
• 0e62347 improve debug failing warning test (#18271)
• 28e0bdd Explicitly enable grad in closure (#18268)
• cfefd09 Make all_reduce consistent for both NCCL and GLOO (#18235)
• Additional commits viewable in compare view

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 @dependabot rebase.

---

Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

• @dependabot rebase will rebase this PR
• @dependabot recreate will recreate this PR, overwriting any edits that have been made to it
• @dependabot merge will merge this PR after your CI passes on it
• @dependabot squash and merge will squash and merge this PR after your CI passes on it
• @dependabot cancel merge will cancel a previously requested merge and block automerging
• @dependabot reopen will reopen this PR if it is closed
• @dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually
• @dependabot show <dependency name> ignore conditions will show all of the ignore conditions of the specified dependency
• @dependabot ignore this major version will 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 version will 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 dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)