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
- Missing documentation for the `log_weight_decay` argument in `lightning.pytorch.callbacks.LearningRateMonitor`
- parsing issue with `save_last` parameter of `ModelCheckpoint`
- Construct objects from yaml by classmethod
- FSDP Strategy checkpoint loading
- Current FSDPPrecision does not support custom scaler for 16-mixed precision
- Update `LearningRateMonitor` docs and tests to mention `log_weight_decay`.
- Bugfix/#19799 be able to parse save_last of ModelCheckpoint from cli
- Ignore parameters causing ValueError when dumping to YAML
- Adding test for legacy checkpoint created with 2.2.3
- Patch Release 2.2.3
- Docs
- Python not yet supported