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
- Distributed mode overwrites the user's choice for dataloaders shuffling
- Formatting for grouped metrics.
- Support `str(datamodule)`
- ModelCheckpoint: save_top_k > 1 cannot recognize ordering of models from ckpt names
- CPU memory consumption increases at the end of every epochs on TPU
- Allow shuffling when overfit_batches is active
- Progress bar doesn't show up on Kaggle TPU with `num_workers` greater than `0`.
- [RFC] Deprecate `log_every_n_steps` from Trainer
- Enable Rich Progress Bar/Model Summary if Rich is available
- Syncing the log_dir across ranks is not valid with multiple nodes
- Docs
- Python not yet supported