pytorch-lightning
https://github.com/pytorchlightning/pytorch-lightning
Python
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
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- Issues
- Validation is incorrectly run on resume
- `strict = False` does not work when the checkpoint is distributed
- MLFlow logger returns None when MLFlow server is used
- Add `compile_fn` parameter for Trainer
- `_update_dataloader` improperly copies state of subclassed dataloader with attribute names that differ from `__init__` parameters.
- Weights are misshappen when using model's forward in on_fit_end() hook with FSDP
- Registered buffers not moved to correct device when using DeepSpeed Stage 3
- Shuffle order is the same across runs when using strategy='ddp'
- Checkpoints Saving with different permissions to account defaults
- Add something like `use_compile` parameter for Trainer
- Docs
- Python not yet supported