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
- Allow to specify the value of the `trainer/global_step` metric on W&B during validation
- Introduce an HybridBackend using only Multiprocess + Cloud Backend
- Add a mechanism to freeze the attached works when the first work.run is called. Break if another work tries to attach himself.
- 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?
- (App) Using multiple schedule doesn't work. Only the last one is triggered.
- Support Multiple Works into a Single Machine in the Cloud
- Introduce an HybridBackend using only Multiprocess
- Resolve Works URLs from within the flow
- Docs
- Python not yet supported