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
- DeepSpeed stage 3 and mixed precision cause an error
- Allow shuffling when overfit_batches is active
- Progress bar doesn't show up on Kaggle TPU with `num_workers` greater than `0`.
- DDP with 2 GPUs doesn't give same results as 1 GPU with the same effective batch size
- Mixed precision: scheduler and optimizer are called in the wrong order
- Load callback states while testing.
- Resuming should allow to differentiate what to resume (steps/opti/weights)
- Returning None from training_step with multi GPU DDP training
- Support uneven DDP inputs with pytorch model.join
- Model Verification in Trainer
- Docs
- Python not yet supported