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[tune](deps): Bump pytorch-lightning from 1.4.3 to 1.5.5 in /python/requirements/tune #83

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[tune](deps): Bump pytorch-lightning from 1.4.3 to 1.5.5 in /python/requirements/tune #83

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Bumps pytorch-lightning from 1.4.3 to 1.5.5.

Release notes

Sourced from pytorch-lightning's releases.

Standard weekly patch release

[1.5.5] - 2021-12-07

Fixed

  • Disabled batch_size extraction for torchmetric instances because they accumulate the metrics internally (#10815)
  • Fixed an issue with SignalConnector not restoring the default signal handlers on teardown when running on SLURM or with fault-tolerant training enabled (#10611)
  • Fixed SignalConnector._has_already_handler check for callable type (#10483)
  • Fixed an issue to return the results for each dataloader separately instead of duplicating them for each (#10810)
  • Improved exception message if rich version is less than 10.2.2 (#10839)
  • Fixed uploading best model checkpoint in NeptuneLogger (#10369)
  • Fixed early schedule reset logic in PyTorch profiler that was causing data leak (#10837)
  • Fixed a bug that caused incorrect batch indices to be passed to the BasePredictionWriter hooks when using a dataloader with num_workers > 0 (#10870)
  • Fixed an issue with item assignment on the logger on rank > 0 for those who support it (#10917)
  • Fixed importing torch_xla.debug for torch-xla<1.8 (#10836)
  • Fixed an issue with DDPSpawnPlugin and related plugins leaving a temporary checkpoint behind (#10934)
  • Fixed a TypeError occuring in the SingalConnector.teardown() method (#10961)

Contributors

@​awaelchli @​carmocca @​four4fish @​kaushikb11 @​lucmos @​mauvilsa @​Raalsky @​rohitgr7

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

Standard weekly patch release

[1.5.4] - 2021-11-30

Fixed

  • Fixed support for --key.help=class with the LightningCLI (#10767)
  • Fixed _compare_version for python packages (#10762)
  • Fixed TensorBoardLogger SummaryWriter not close before spawning the processes (#10777)
  • Fixed a consolidation error in Lite when attempting to save the state dict of a sharded optimizer (#10746)
  • Fixed the default logging level for batch hooks associated with training from on_step=False, on_epoch=True to on_step=True, on_epoch=False (#10756)

Removed

Contributors

@​awaelchli @​carmocca @​kaushikb11 @​rohitgr7 @​tchaton

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

Standard weekly patch release

[1.5.3] - 2021-11-24

... (truncated)

Changelog

Sourced from pytorch-lightning's changelog.

[1.5.5] - 2021-12-07

Fixed

  • Disabled batch_size extraction for torchmetric instances because they accumulate the metrics internally (#10815)
  • Fixed an issue with SignalConnector not restoring the default signal handlers on teardown when running on SLURM or with fault-tolerant training enabled (#10611)
  • Fixed SignalConnector._has_already_handler check for callable type (#10483)
  • Fixed an issue to return the results for each dataloader separately instead of duplicating them for each (#10810)
  • Improved exception message if rich version is less than 10.2.2 (#10839)
  • Fixed uploading best model checkpoint in NeptuneLogger (#10369)
  • Fixed early schedule reset logic in PyTorch profiler that was causing data leak (#10837)
  • Fixed a bug that caused incorrect batch indices to be passed to the BasePredictionWriter hooks when using a dataloader with num_workers > 0 (#10870)
  • Fixed an issue with item assignment on the logger on rank > 0 for those who support it (#10917)
  • Fixed importing torch_xla.debug for torch-xla<1.8 (#10836)
  • Fixed an issue with DDPSpawnPlugin and related plugins leaving a temporary checkpoint behind (#10934)
  • Fixed a TypeError occuring in the SingalConnector.teardown() method (#10961)

[1.5.4] - 2021-11-30

Fixed

  • Fixed support for --key.help=class with the LightningCLI (#10767)
  • Fixed _compare_version for python packages (#10762)
  • Fixed TensorBoardLogger SummaryWriter not close before spawning the processes (#10777)
  • Fixed a consolidation error in Lite when attempting to save the state dict of a sharded optimizer (#10746)
  • Fixed the default logging level for batch hooks associated with training from on_step=False, on_epoch=True to on_step=True, on_epoch=False (#10756)

Removed

[1.5.3] - 2021-11-24

Fixed

  • Fixed ShardedTensor state dict hook registration to check if torch distributed is available (#10621)
  • Fixed an issue with self.log not respecting a tensor's dtype when applying computations (#10076)
  • Fixed LigtningLite _wrap_init popping unexisting keys from DataLoader signature parameters (#10613)
  • Fixed signals being registered within threads (#10610)
  • Fixed an issue that caused Lightning to extract the batch size even though it was set by the user in LightningModule.log (#10408)
  • Fixed Trainer(move_metrics_to_cpu=True) not moving the evaluation logged results to CPU (#10631)
  • Fixed the {validation,test}_step outputs getting moved to CPU with Trainer(move_metrics_to_cpu=True) (#10631)
  • Fixed an issue with collecting logged test results with multiple dataloaders (#10522)

[1.5.2] - 2021-11-16

Fixed

... (truncated)

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[tune](deps): Bump pytorch-lightning in /python/requirements/tune
596deae 
Bumps [pytorch-lightning](https://github.com/PyTorchLightning/pytorch-lightning) from 1.4.3 to 1.5.5.
- [Release notes](https://github.com/PyTorchLightning/pytorch-lightning/releases)
- [Changelog](https://github.com/PyTorchLightning/pytorch-lightning/blob/master/CHANGELOG.md)
- [Commits](Lightning-AI/pytorch-lightning@1.4.3...1.5.5)

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

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot added the dependencies Pull requests that update a dependency file label Dec 11, 2021
@dependabot dependabot bot mentioned this pull request Dec 11, 2021
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