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
- EarlyStopping override disrupts wandb logging frequency
- Show how to over-fit batches for real
- Logging with Fabric using steps
- Handle gradient accumulations at the end of epoch differently
- TransformerEnginePrecision _convert_layers(module) fails for FSDP zero2/zero3
- Another profiling tool is already active
- Running `test` with LightningCLI, the program can quit before the test loop ends
- Hyperparameter logging with multiple loggers only works partially (TensorBoard and CSV)
- Increase MlflowLogger parameter value length limit
- FSDPPrecision should support 16-true with a loss scaler
- Docs
- Python not yet supported