[tune](deps): Bump pytorch-lightning from 1.0.3 to 1.3.1 in /python/requirements

[dependabot]

Bumps pytorch-lightning from 1.0.3 to 1.3.1.

Release notes

Sourced from pytorch-lightning's releases.

Standard weekly patch release

[1.3.1] - 2021-05-11

Fixed

• Fixed DeepSpeed with IterableDatasets (#7362)
• Fixed Trainer.current_epoch not getting restored after tuning (#7434)
• Fixed local rank displayed in console log (#7395)

Contributors

@​akihironitta @​awaelchli @​leezu

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

Lightning CLI, PyTorch Profiler, Improved Early Stopping

[1.3.0] - 2021-05-06

Added

• Added support for the EarlyStopping callback to run at the end of the training epoch (#6944)
• Added synchronization points before and after setup hooks are run (#7202)
• Added a teardown hook to ClusterEnvironment (#6942)
• Added utils for metrics to scalar conversions (#7180)
• Added utils for NaN/Inf detection for gradients and parameters (#6834)
• Added more explicit exception message when trying to execute trainer.test() or trainer.validate() with fast_dev_run=True (#6667)
• Added LightningCLI class to provide simple reproducibility with minimum boilerplate training CLI (#4492, #6862, #7156, #7299)
• Added gradient_clip_algorithm argument to Trainer for gradient clipping by value (#6123).
• Added a way to print to terminal without breaking up the progress bar (#5470)
• Added support to checkpoint after training steps in ModelCheckpoint callback (#6146)
• Added TrainerStatus.{INITIALIZING,RUNNING,FINISHED,INTERRUPTED} (#7173)
• Added Trainer.validate() method to perform one evaluation epoch over the validation set (#4948)
• Added LightningEnvironment for Lightning-specific DDP (#5915)
• Added teardown() hook to LightningDataModule (#4673)
• Added auto_insert_metric_name parameter to ModelCheckpoint (#6277)
• Added arg to self.log that enables users to give custom names when dealing with multiple dataloaders (#6274)
• Added teardown method to BaseProfiler to enable subclasses defining post-profiling steps outside of __del__ (#6370)
• Added setup method to BaseProfiler to enable subclasses defining pre-profiling steps for every process (#6633)
• Added no return warning to predict (#6139)
• Added Trainer.predict config validation (#6543)
• Added AbstractProfiler interface (#6621)
• Added support for including module names for forward in the autograd trace of PyTorchProfiler (#6349)
• Added support for the PyTorch 1.8.1 autograd profiler (#6618)
• Added outputs parameter to callback's on_validation_epoch_end & on_test_epoch_end hooks (#6120)
• Added configure_sharded_model hook (#6679)
• Added support for precision=64, enabling training with double precision (#6595)
• Added support for DDP communication hooks (#6736)
• Added artifact_location argument to MLFlowLogger which will be passed to the MlflowClient.create_experiment call (#6677)
• Added model parameter to precision plugins' clip_gradients signature (#6764, #7231)
• Added is_last_batch attribute to Trainer (#6825)

... (truncated)

Changelog

Sourced from pytorch-lightning's changelog.

[1.3.1] - 2021-05-11

Fixed

• Fixed DeepSpeed with IterableDatasets (#7362)
• Fixed Trainer.current_epoch not getting restored after tuning (#7434)
• Fixed local rank displayed in console log (#7395)

[1.3.0] - 2021-05-06

Added

• Added support for the EarlyStopping callback to run at the end of the training epoch (#6944)
• Added synchronization points before and after setup hooks are run (#7202)
• Added a teardown hook to ClusterEnvironment (#6942)
• Added utils for metrics to scalar conversions (#7180)
• Added utils for NaN/Inf detection for gradients and parameters (#6834)
• Added more explicit exception message when trying to execute trainer.test() or trainer.validate() with fast_dev_run=True (#6667)
• Added LightningCLI class to provide simple reproducibility with minimum boilerplate training CLI ( #4492, #6862, #7156, #7299)
• Added gradient_clip_algorithm argument to Trainer for gradient clipping by value (#6123).
• Added a way to print to terminal without breaking up the progress bar (#5470)
• Added support to checkpoint after training steps in ModelCheckpoint callback (#6146)
• Added TrainerStatus.{INITIALIZING,RUNNING,FINISHED,INTERRUPTED} (#7173)
• Added Trainer.validate() method to perform one evaluation epoch over the validation set (#4948)
• Added LightningEnvironment for Lightning-specific DDP (#5915)
• Added teardown() hook to LightningDataModule (#4673)
• Added auto_insert_metric_name parameter to ModelCheckpoint (#6277)
• Added arg to self.log that enables users to give custom names when dealing with multiple dataloaders (#6274)
• Added teardown method to BaseProfiler to enable subclasses defining post-profiling steps outside of __del__ (#6370)
• Added setup method to BaseProfiler to enable subclasses defining pre-profiling steps for every process (#6633)
• Added no return warning to predict (#6139)
• Added Trainer.predict config validation (#6543)
• Added AbstractProfiler interface (#6621)
• Added support for including module names for forward in the autograd trace of PyTorchProfiler (#6349)
• Added support for the PyTorch 1.8.1 autograd profiler (#6618)
• Added outputs parameter to callback's on_validation_epoch_end & on_test_epoch_end hooks (#6120)
• Added configure_sharded_model hook (#6679)
• Added support for precision=64, enabling training with double precision (#6595)
• Added support for DDP communication hooks (#6736)
• Added artifact_location argument to MLFlowLogger which will be passed to the MlflowClient.create_experiment call (#6677)
• Added model parameter to precision plugins' clip_gradients signature ( #6764, #7231)
• Added is_last_batch attribute to Trainer (#6825)
• Added LightningModule.lr_schedulers() for manual optimization (#6567)

... (truncated)

Commits

• b9b3ec5 v1.3.1
• 86e827e Pin Sphinx<4.0 (#7456)
• f933d7a fix display bug (#7395)
• 85b71c8 fix 1.9 test (#7441)
• fcd6be1 Restore trainer.current_epoch after tuning (#7434)
• 5ababc4 update ngc for 1.3 (#7414)
• a4d676d Fix DeepSpeedPlugin with IterableDataset (#7362)
• fbc8b20 update versions (#7409)
• b181b8c release 1.3.0 (#7404)
• d4d959b Call super().__init__() in MilestonesFinetuning example (#7398)
• Additional commits viewable in compare view

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[dependabot]

Superseded by #22.