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chore(deps): bump pytorch-lightning from 1.5.9 to 1.7.7#95

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chore(deps): bump pytorch-lightning from 1.5.9 to 1.7.7#95
dependabot[bot] wants to merge 1 commit intomasterfrom
dependabot/pip/pytorch-lightning-1.7.7

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@dependabot dependabot bot commented on behalf of github Sep 23, 2022

Bumps pytorch-lightning from 1.5.9 to 1.7.7.

Release notes

Sourced from pytorch-lightning's releases.

PyTorch Lightning 1.7.7: Standard patch release

[1.7.7] - 2022-09-22

Fixed

  • Fixed the availability check for the neptune-client package (#14714)
  • Break HPU Graphs into two parts (forward + backward as one and optimizer as another) for better performance (#14656)
  • Fixed torchscript error with ensembles of LightningModules (#14657, #14724)
  • Fixed an issue with TensorBoardLogger.finalize creating a new experiment when none was created during the Trainer's execution (#14762)
  • Fixed TypeError on import when torch.distributed is not available (#14809)

Contributors

@​awaelchli @​Borda @​carmocca @​dependabot @​otaj @​raoakarsha

If we forgot someone due to not matching commit email with GitHub account, let us know :)

PyTorch Lightning 1.7.6: Standard patch release

[1.7.6] - 2022-09-13

Changed

  • Improved the error messaging when passing Trainer.method(model, x_dataloader=None) with no module-method implementations available (#14614)

Fixed

  • Reset the dataloaders on OOM failure in batch size finder to use the last successful batch size (#14372)
  • Fixed an issue to keep downscaling the batch size in case there hasn't been even a single successful optimal batch size with mode="power" (#14372)
  • Fixed an issue where self.log-ing a tensor would create a user warning from PyTorch about cloning tensors (#14599)
  • Fixed compatibility when torch.distributed is not available (#14454)

Contributors

@​akihironitta @​awaelchli @​Borda @​carmocca @​dependabot @​krshrimali @​mauvilsa @​pierocor @​rohitgr7 @​wangraying

If we forgot someone due to not matching commit email with GitHub account, let us know :)

PyTorch Lightning 1.7.5: Standard patch release

[1.7.5] - 2022-09-06

Fixed

  • Squeezed tensor values when logging with LightningModule.log (#14489)
  • Fixed WandbLogger save_dir is not set after creation (#14326)
  • Fixed Trainer.estimated_stepping_batches when maximum number of epochs is not set (#14317)

Contributors

@​carmocca @​dependabot @​robertomest @​rohitgr7 @​tshu-w

... (truncated)

Commits
  • dbb5ca8 Update version to 1.7.7
  • 085b5b3 Fixed TypeError on 1.7.6 when torch.distributed unavailable (#14809)
  • e1a4370 Update pandas requirement from <=1.4.3,>1.0 to >1.0,<1.5.1 in /requirements (...
  • a9de78f CI: HPU support v1.6.0 release (#14794)
  • f5a1cc4 Update wandb requirement from <0.13.2,>=0.10.22 to >=0.10.22,<0.13.4 in /requ...
  • 72fac45 Fix TensorBoardLogger creating redundant experiment when finalizing (#14762)
  • 63ef41e fix: keep pre versions (#14752)
  • 4262cf8 Use valid pypi versions for install in assistant (#14750)
  • e72e5b9 update codeowners (#14718)
  • c88414c Docs: fix link to title (#14730)
  • Additional commits viewable in compare view

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Bumps [pytorch-lightning](https://github.com/Lightning-AI/lightning) from 1.5.9 to 1.7.7.
- [Release notes](https://github.com/Lightning-AI/lightning/releases)
- [Commits](Lightning-AI/pytorch-lightning@1.5.9...1.7.7)

---
updated-dependencies:
- dependency-name: pytorch-lightning
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

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@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Sep 23, 2022
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