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
- Keep User-Defined Order of Callbacks
- pytorch lightning causes slurm nodes to drain
- trainer.validate() will not load optimizer properly, different behavior from trainer.fit()
- Allow to specify the value of the `trainer/global_step` metric on W&B during validation
- Precision output conversion in Lite wrappers
- When test, the printed log does not show the full text of the metrics, when named in Chinese
- How do I use/add Jupyter Notebooks with Lightning?
- Does Trainer have a property for the last checkpoint path?
- Reduce the number of installation steps for Windows
- Does the Lightning API support async handle_post?
- Docs
- Python not yet supported