Lightning-AI/pytorch-lightning 1.2.8

Standard weekly patch release

on GitHub

[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

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