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
- [NEPTUNE] Optimize uploading k-best model checkpoints
- Loggers fails to create metrics.csv file when running on multiple TPU cores
- Add support to `saving.py` for loading GPU-trained models on CPU-only machines
- `Trainer.validate()` after `Trainer.fit()` not working with FSDP and `auto_wrap_policy`
- Add `best_model_metrics` to `ModelCheckpoint` callback
- Docs style renders unreadable yaml code snippets
- Downloading artifacts with wandblogger in DDP case failing on non-zero rank processes
- registered buffers' dtype is overridden after __init__
- BatchSizeFinder throws KeyError: 'limit_eval_batches'
- Loose type annotations of hparams cause Pylint basic type checker false positives
- Docs
- Python not yet supported