[tune](deps): Bump pytorch-lightning from 1.0.3 to 1.2.10 in /python/requirements

[dependabot]

Bumps pytorch-lightning from 1.0.3 to 1.2.10.

Release notes

Sourced from pytorch-lightning's releases.

Quick patch release

Fixing missing packaging package in dependencies, which was affecting the only installation to a very blank system.

Standard weekly patch release

[1.2.9] - 2021-04-20

Fixed

• Fixed the order to call for world ranks & the root_device property in TPUSpawnPlugin (#7074)
• Fixed multi-gpu join for Horovod (#6954)
• Fixed parsing for pre-release package versions (#6999)

Contributors

@​irasit @​Borda @​kaushikb11

Standard weekly patch release

[1.2.8] - 2021-04-14

Added

• Added TPUSpawn + IterableDataset error message (#6875)

Fixed

• Fixed process rank not being available right away after Trainer instantiation (#6941)
• Fixed sync_dist for tpus (#6950)
• Fixed AttributeError for require_backward_grad_sync` when running manual optimization with sharded plugin (#6915)
• Fixed --gpus default for parser returned by Trainer.add_argparse_args (#6898)
• Fixed TPU Spawn all gather (#6896)
• Fixed EarlyStopping logic when min_epochs or min_steps requirement is not met (#6705)
• Fixed csv extension check (#6436)
• Fixed checkpoint issue when using Horovod distributed backend (#6958)
• Fixed tensorboard exception raising (#6901)
• Fixed setting the eval/train flag correctly on accelerator model (#6983)
• Fixed DDP_SPAWN compatibility with bug_report_model.py (#6892)
• Fixed bug where BaseFinetuning.flatten_modules() was duplicating leaf node parameters (#6879)
• Set better defaults for rank_zero_only.rank when training is launched with SLURM and torchelastic:
  • Support SLURM and torchelastic global rank environment variables (#5715)
  • Remove hardcoding of local rank in accelerator connector (#6878)

Contributors

@​ananthsub @​awaelchli @​ethanwharris @​justusschock @​kandluis @​kaushikb11 @​liob @​SeanNaren @​skmatz

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

Standard weekly patch release

[1.2.7] - 2021-04-06

... (truncated)

Changelog

Sourced from pytorch-lightning's changelog.

Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog.

[1.3.0] - 2021-MM-DD

Added

• Added a teardown hook to ClusterEnvironment (#6942)

• 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)

• 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 checkpoint parameter to callback's on_save_checkpoint hook (#6072)

• Added RunningStage.SANITY_CHECKING (#4945)

• Added TrainerState.{FITTING,VALIDATING,TESTING,PREDICTING,TUNING} (#4945)

• 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)

... (truncated)

Commits

• cf5dc04 Fix apex version in Docker due to broken upstream (#7146)
• c0e9284 Ban tensorboard==2.5.0 and deepspeed==0.3.15 (#7159)
• 44bbfa3 fix packaging missing
• f9f4853 fix pip install (#7170)
• 0cb0c7a formatting
• 97adde9 Fix tensorboard test
• 8500c53 fix version + yapf (#6999)
• afa5f0e Fix Multi-GPU join for horovod (#6954)
• b012593 Update version to 1.2.9
• e031d45 TPU Spawn Rank & root device Error (#7074)
• Additional commits viewable in compare view

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[dependabot]

Superseded by #19.