Update pytorch-lightning requirement from <1.9,>=1.4 to >=1.4,<1.10 in /_requirements

[dependabot]

Updates the requirements on pytorch-lightning to permit the latest version.

Release notes

Sourced from pytorch-lightning's releases.

Stability and additional improvements

App

Added

• Added a possibility to set up basic authentication for Lightning apps (#16105)

Changed

• The LoadBalancer now uses internal ip + port instead of URL exposed (#16119)
• Added support for logging in different trainer stages with DeviceStatsMonitor (#16002)
• Changed lightning_app.components.serve.gradio to lightning_app.components.serve.gradio_server (#16201)
• Made cluster creation/deletion async by default (#16185)

Fixed

• Fixed not being able to run multiple lightning apps locally due to port collision (#15819)
• Avoid relpath bug on Windows (#16164)
• Avoid using the deprecated LooseVersion (#16162)
• Porting fixes to autoscaler component (#16249)
• Fixed a bug where lightning login with env variables would not correctly save the credentials (#16339)

---

Fabric

Added

• Added Fabric.launch() to programmatically launch processes (e.g. in Jupyter notebook) (#14992)
• Added the option to launch Fabric scripts from the CLI, without the need to wrap the code into the run method (#14992)
• Added Fabric.setup_module() and Fabric.setup_optimizers() to support strategies that need to set up the model before an optimizer can be created (#15185)
• Added support for Fully Sharded Data Parallel (FSDP) training in Lightning Lite (#14967)
• Added lightning_fabric.accelerators.find_usable_cuda_devices utility function (#16147)
• Added basic support for LightningModules (#16048)
• Added support for managing callbacks via Fabric(callbacks=...) and emitting events through Fabric.call() (#16074)
• Added Logger support (#16121)
  • Added Fabric(loggers=...) to support different Logger frameworks in Fabric
  • Added Fabric.log for logging scalars using multiple loggers
  • Added Fabric.log_dict for logging a dictionary of multiple metrics at once
  • Added Fabric.loggers and Fabric.logger attributes to access the individual logger instances
  • Added support for calling self.log and self.log_dict in a LightningModule when using Fabric
  • Added access to self.logger and self.loggers in a LightningModule when using Fabric
• Added lightning_fabric.loggers.TensorBoardLogger (#16121)
• Added lightning_fabric.loggers.CSVLogger (#16346)
• Added support for a consistent .zero_grad(set_to_none=...) on the wrapped optimizer regardless of which strategy is used (#16275)

Changed

• Renamed the class LightningLite to Fabric (#15932, #15938)

... (truncated)

Commits

• fc195b9 Revert #16401 and user proper CSVLogger (#16405)
• 76b3cd5 adding @​lantiga as code-owner (#16394)
• 3fe7c2d pypi releasing fix lower (#16406)
• d46091c fix dirpath in log_dir for CSVLogger (#16401)
• cfe87a0 Clarify cluster advanced docs (#16403)
• 60f9406 rename app _exit 2/2 (#16398)
• 8f428a6 dispatch cache clean (#16393)
• a9a6365 ci: adding Muse app (#16392)
• e61bead rename flow _exit (#16378)
• 285cc53 Make subprocess launcher the default in Lite (#16388)
• Additional commits viewable in compare view

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[codecov]

Codecov Report

Merging #226 (f79f18d) into main (cb89315) will not change coverage.
The diff coverage is n/a.

Additional details and impacted files

@@ Coverage Diff @@ ## main #226 +/- ## =================================== Coverage 73% 73% =================================== Files 2 2 Lines 382 382 =================================== Hits 280 280 Misses 102 102 

[Borda]

we shall validate notebooks

[Borda]

Suggested change

	pytorch-lightning>=1.4, <1.10
	pytorch-lightning>=1.7, <2.0.0

[dependabot]

Dependabot tried to update this pull request, but something went wrong. We're looking into it, but in the meantime you can retry the update by commenting @dependabot rebase.

[dependabot]

Looks like pytorch-lightning is no longer updatable, so this is no longer needed.