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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Help out
- Issues
- Use an annotator in Lightning workflows
- Integrate torchsnapshot
- Hook to transform the model before loading the weights
- Loss does not decrease on single TPU
- Support relative paths in ModelCheckpoint state
- Hide progress bars on HPC logging environments but keep in interactive terminals
- Add `min_delta` argument to `ModelCheckpoint` callback
- Share/collect non-tensor objects between processes.
- MPS AMP Support
- Deadlock after training model with TPU VM 3.8 and while resuming training.
- Docs
- Python not yet supported