[tune](deps): Bump pytorch-lightning from 1.4.3 to 1.5.4 in /python/requirements/tune

[dependabot]

Bumps pytorch-lightning from 1.4.3 to 1.5.4.

Release notes

Sourced from pytorch-lightning's releases.

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

• Removed PyTorch 1.6 support (#10367, #10738)

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

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 signals being registered within threads (#10610)
• Fixed an issue with collecting logged test results with multiple dataloaders (#10522)

Contributors

@​ananthsub @​awaelchli @​carmocca @​jiwidi @​kaushikb11 @​qqueing @​rohitgr7 @​shabie @​tchaton

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

Standard weekly patch release

[1.5.2] - 2021-11-16

Fixed

... (truncated)

Changelog

Sourced from pytorch-lightning's changelog.

[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

• Removed PyTorch 1.6 support (#10367, #10738)

[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

• Fixed CombinedLoader and max_size_cycle didn't receive a DistributedSampler (#10374)
• Fixed an issue where class or init-only variables of dataclasses were passed to the dataclass constructor in utilities.apply_to_collection (#9702)
• Fixed isinstance not working with init_meta_context, materialized model not being moved to the device (#10493)
• Fixed an issue that prevented the Trainer to shutdown workers when execution is interrupted due to failure(#10463)
• Squeeze the early stopping monitor to remove empty tensor dimensions (#10461)
• Fixed sampler replacement logic with overfit_batches to only replace the sample when SequentialSampler is not used (#10486)
• Fixed scripting causing false positive deprecation warnings (#10470, #10555)
• Do not fail if batch size could not be inferred for logging when using DeepSpeed (#10438)
• Fixed propagation of device and dtype information to submodules of LightningLite when they inherit from DeviceDtypeModuleMixin (#10559)

[1.5.1] - 2021-11-09

Fixed

• Fixed apply_to_collection(defaultdict) (#10316)
• Fixed failure when DataLoader(batch_size=None) is passed (#10345)

... (truncated)

Commits

• 20bef83 Update changelog
• 551f05e Merge pull request #10738 from PyTorchLightning/1.5.x-drop-torch-1.6
• 00d3675 Rename special to standalone (#10779)
• 288d018 Tune Conda CI timeout and other minor improvements (#10769)
• 4e08de2 [CLI] Add support for --key.help=class
• bf9aef7 Update notebooks submodule (#10827)
• 03b19fa Fix default logging levels for train step specific hooks (#10756)
• f85d4c7 Consolidate state when retrieving sharded state dict in Lite (#10746)
• 7f147ee Delete TensorBoardLogger experiment before spawning the processes. (#10777)
• a5e8823 Fix compare version for packages (#10762)
• Additional commits viewable in compare view

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[dependabot]

Superseded by #83.