Update pytorch-lightning requirement from ~=1.5.10 to ~=1.7.3

[dependabot[bot]]

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

Release notes

Sourced from pytorch-lightning's releases.

PyTorch Lightning 1.7.3: Standard patch release

[1.7.3] - 2022-08-25

Fixed

• Fixed an assertion error when using a ReduceOnPlateau scheduler with the Horovod strategy (#14215)
• Fixed an AttributeError when accessing LightningModule.logger and the Trainer has multiple loggers (#14234)
• Fixed wrong num padding for RichProgressBar (#14296)
• Added back support for logging in the configure_gradient_clipping hook after unintended removal in v1.7.2 (#14298)
• Fixed an issue to avoid the impact of sanity check on reload_dataloaders_every_n_epochs for validation (#13964)

Contributors

@​awaelchli @​Borda @​carmocca @​dependabot @​kaushikb11 @​otaj @​rohitgr7

Commits

• 8f13633 Fix silent TPU CI failures (#14034)
• f8416be [CI] Trick Bagua into installing appropriate wheel in GPU tests (#14380)
• 48ddb0a Add a required job checker as an action (1/2) (#14363)
• 5f5b8da [CI] Bump CUDA in Docker images to 11.6.1 (#14348)
• cca9c71 fix imports of collections.abc for py3.10 (#14345)
• 6661f00 Bump actions/setup-python from 2 to 4 (#14287)
• 9539538 Bump tj-actions/changed-files from 24 to 28 (#14337)
• 4b6031b Add back support for logging in the gradient clipping hooks (#14298)
• cb8b3f4 Fix an issue to avoid the impact of sanity check on `reload_dataloaders_every...
• 719dcff Update ipython[all] requirement from <=8.1.1 to <8.4.1 in /requirements (#14281)
• Additional commits viewable in compare view

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