[tune](deps): Bump pytorch-lightning from 1.4.3 to 1.5.3 in /python/requirements/tune

[dependabot]

Bumps pytorch-lightning from 1.4.3 to 1.5.3.

Release notes

Sourced from pytorch-lightning's releases.

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

• 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)

Contributors

@​a-gardner1 @​awaelchli @​carmocca @​justusschock @​Raahul-Singh @​rohitgr7 @​SeanNaren @​tchaton

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

Standard weekly patch release

[1.5.1] - 2021-11-09

Fixed

• Fixed apply_to_collection(defaultdict) (#10316)

... (truncated)

Changelog

Sourced from pytorch-lightning's changelog.

[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)
• Fixed interception of __init__ arguments for sub-classed DataLoader re-instantiation in Lite (#10334)
• Fixed issue with pickling CSVLogger after a call to CSVLogger.save (#10388)
• Fixed an import error being caused by PostLocalSGD when torch.distributed not available (#10359)
• Fixed the logging with on_step=True in epoch-level hooks causing unintended side-effects. Logging with on_step=True in epoch-level hooks will now correctly raise an error (#10409)
• Fixed deadlocks for distributed training with RichProgressBar (#10428)
• Fixed an issue where the model wrapper in Lite converted non-floating point tensors to float (#10429)
• Fixed an issue with inferring the dataset type in fault-tolerant training (#10432)
• Fixed dataloader workers with persistent_workers being deleted on every iteration (#10434)

[1.5.0] - 2021-11-02

Added

• Added support for monitoring the learning rate without schedulers in LearningRateMonitor (#9786)

... (truncated)

Commits

• b208653 1.5.3 release notes
• 963d0b0 Move benchmarks into the test directory (#10614)
• 1d3b6a2 Support special test parametrizations (#10569)
• fb1029f MANIFEST.in and setup.py clean-up (#7614)
• bfc0447 Don't register signal in thread (#10610)
• 3f2b857 Fix move_metrics_to_cpu with evaluation (#10631)
• c3341e6 log metrics for correct dataloader only (#10522)
• 9cbc5da Fix docs filterwarnings snippet (#10671)
• f620dc8 Remove metrics references from docs (#10567)
• ebae420 update bug_report model links and notebook (#10665)
• Additional commits viewable in compare view

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[dependabot]

Superseded by #82.