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
- CPU-Memory keeps accumulating during `trainer.predict`
- Potential off by 1 error when resuming training of mid-epoch checkpoint
- Support skipping the first iteration time in process bar
- Support `DDP(static_graph=True)` and gradient accumulation
- Configure WandB run name in checkpoint path via Lightning CLI
- feat(integrations): Improve checkpoint functionality of `WandbLogger`
- Create a link for the best checkpoint
- Add additional parameters to the DeepSpeedStrategy
- Unable to use TPU on Google Colab
- fix: LearningRateMonitor(logging_interval='epoch') logs per epoch instead of step
- Docs
- Python not yet supported