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 AMP with TPUs
- 'self.current_epoch' always returns 0 when compiling LightningModule
- MLFlowLogger saves copies of ModelCheckpoints
- Edge case causes incorrect filesystem to be selected for finding cloud checkpoints
- self.log when model is compiled does not accumulate the metrics
- DDP: moving model to CPU and back to GPU breaks gradient synchronization
- incorrect global_step with multiple optimizers and automatic_optimization=False
- Adding defaults to hparams in base class LightningModule causes incorrect _hparams_name in checkpoints
- Check the checkpoint callback before start training
- Typehints issues with hparams using pylance
- Docs
- Python not yet supported