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 `enable_device_summary` flag to disable device printout
- Validation takes place every N time
- Allow `extra_epochs` flag in `Trainer.fit` to control finetuning time
- Lightning Module throws error when save_parameters() is not called from init
- ONNX runtime integration documentation
- Ability to log a file, not neccesarily tied to a 'step'
- Restoring Trainer State with Early Stop fails
- Feature request: FSDP native strategy for TPUs
- distributed inference
- Add BMUF Multi-GPU Training Method
- Docs
- Python not yet supported