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
- support len(datamodule)
- Mixed precision: scheduler and optimizer are called in the wrong order
- CLI for inspecting checkpoints
- Load callback states while testing.
- Store logger experiment id in checkpoint to enable correct resuming of experiments
- Resuming should allow to differentiate what to resume (steps/opti/weights)
- Returning None from training_step with multi GPU DDP training
- `lr_finder` fails when called after training for 1 or more epochs
- Support uneven DDP inputs with pytorch model.join
- Add a PL method diagram to docs
- Docs
- Python not yet supported