[tune](deps): Bump pytorch-lightning from 1.0.3 to 1.4.4 in /python/requirements/tune

[dependabot]

Bumps pytorch-lightning from 1.0.3 to 1.4.4.

Release notes

Sourced from pytorch-lightning's releases.

Standard weekly patch release

[1.4.4] - 2021-08-24

• Fixed a bug in the binary search mode of auto batch size scaling where exception was raised if the first trainer run resulted in OOM (#8954)
• Fixed a bug causing logging with log_gpu_memory='min_max' not working (#9013)

Contributors

@​SkafteNicki @​eladsegal

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

Standard weekly patch release

[1.4.3] - 2021-08-17

• Fixed plateau scheduler stepping on incomplete epoch (#8861)
• Fixed infinite loop with CycleIterator and multiple loaders (#8889)
• Fixed StochasticWeightAveraging with a list of learning rates not applying them to each param group (#8747)
• Restore original loaders if replaced by entrypoint (#8885)
• Fixed lost reference to _Metadata object in ResultMetricCollection (#8932)
• Ensure the existence of DDPPlugin._sync_dir in reconciliate_processes (#8939)

Contributors

@​awaelchli @​carmocca @​justusschock @​tchaton @​yifuwang If we forgot someone due to not matching commit email with GitHub account, let us know :]

Standard weekly patch release

[1.4.2] - 2021-08-10

• Fixed recursive call for apply_to_collection(include_none=False) (#8719)
• Fixed truncated backprop through time enablement when set as a property on the LightningModule and not the Trainer (#8804)
• Fixed comments and exception message for metrics_to_scalars (#8782)
• Fixed typo error in LightningLoggerBase.after_save_checkpoint docstring (#8737)

Contributors

@​Aiden-Jeon @​ananthsub @​awaelchli @​edward-io If we forgot someone due to not matching commit email with GitHub account, let us know :]

Standard weekly patch release

[1.4.1] - 2021-08-03

• Fixed trainer.fit_loop.split_idx always returning None (#8601)
• Fixed references for ResultCollection.extra (#8622)
• Fixed reference issues during epoch end result collection (#8621)

... (truncated)

Changelog

Sourced from pytorch-lightning's changelog.

[1.4.4] - 2021-08-24

• Fixed a bug in the binary search mode of auto batch size scaling where exception was raised if the first trainer run resulted in OOM (#8954)
• Fixed a bug causing logging with log_gpu_memory='min_max' not working (#9013)

[1.4.3] - 2021-08-17

• Fixed plateau scheduler stepping on incomplete epoch (#8861)
• Fixed infinite loop with CycleIterator and multiple loaders (#8889)
• Fixed StochasticWeightAveraging with a list of learning rates not applying them to each param group (#8747)
• Restore original loaders if replaced by entrypoint (#8885)
• Fixed lost reference to _Metadata object in ResultMetricCollection (#8932)
• Ensure the existence of DDPPlugin._sync_dir in reconciliate_processes (#8939)

[1.4.2] - 2021-08-10

• Fixed recursive call for apply_to_collection(include_none=False) (#8719)
• Fixed truncated backprop through time enablement when set as a property on the LightningModule and not the Trainer (#8804)
• Fixed comments and exception message for metrics_to_scalars (#8782)
• Fixed typo error in LightningLoggerBase.after_save_checkpoint docstring (#8737)

[1.4.1] - 2021-08-03

• Fixed trainer.fit_loop.split_idx always returning None (#8601)
• Fixed references for ResultCollection.extra (#8622)
• Fixed reference issues during epoch end result collection (#8621)
• Fixed horovod auto-detection when horovod is not installed and the launcher is mpirun (#8610)
• Fixed an issue with training_step outputs not getting collected correctly for training_epoch_end (#8613)
• Fixed distributed types support for CPUs (#8667)
• Fixed a deadlock issue with DDP and torchelastic (#8655)
• Fixed accelerator=ddp choice for CPU (#8645)

[1.4.0] - 2021-07-27

Added

• Added extract_batch_size utility and corresponding tests to extract batch dimension from multiple batch types. (#8357)
• Added support for named parameter groups in LearningRateMonitor (#7987)
• Added dataclass support for pytorch_lightning.utilities.apply_to_collection (#7935)
• Added support to LightningModule.to_torchscript for saving to custom filesystems with fsspec (#7617)
• Added KubeflowEnvironment for use with the PyTorchJob operator in Kubeflow
• Added LightningCLI support for config files on object stores (#7521)
• Added ModelPruning(prune_on_train_epoch_end=True|False) to choose when to apply pruning (#7704)
• Added support for checkpointing based on a provided time interval during training (#7515)
• Progress tracking
  • Added dataclasses for progress tracking (#6603,

... (truncated)

Commits

• 817d344 1.4.4 release commit
• 7936f0c Fig logging with log_gpu_memory='min_max' (#9013)
• c918779 fix batch auto scaling when init_val causes OOM (#8954)
• 490e9c9 Update Changelog & pl version
• fb3ef2a restrict deepspeed version in CI (#8951)
• d266754 Ensure the existence of DDPPlugin._sync_dir in reconciliate_processes (#8...
• 7f999a2 Drop breaking sphinx docs build (#8934)
• 80fa349 [bugfix] Resolve lost reference to meta object in ResultMetricCollection (#...
• 403aa4d [Bugfix] Detach Loaders after running entrypoint (#8885)
• 7239860 Fix SWA with a list of learning rates (#8747)
• Additional commits viewable in compare view

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[dependabot]

Superseded by #57.