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
- Add support for Comet experiment data flush after saving checkpoint into CometLogger
- Allow Using Specific Dataloaders in LightningCLI (Instead of a DataModule)
- `ModelCheckpoint` not saving best model
- Fabric run CLI cannot launch python module
- ModelCheckpoint need monitor average loss
- Can both “Transformer enginge” and “deepspeed” be supported simultaneously？
- I can not save checkpoints in checkpoints epochs
- feat[logger] update mlflow limit for parameters length log
- Distributed group information for MOE layer
- Add Average Callback
- Docs
- Python not yet supported