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
- Save training metadata with the fault tolerance checkpoint
- AdvancedProfiler: ValueError: Attempting to stop recording an action (run_test_evaluation) which was never started.
- Checkpoints and loggers saving to different directories
- [RFC] Profiler Metrics
- Runtime events with support for custom handlers
- Move reload_dataloaders_every_n_epochs to the DataHooks class
- Pruning callback causes GPU memory leak when used iteratively
- Support Lightning Logging without Trainer
- Support `xser` for saving checkpoints for XLA
- LearningRateMonitor doesn't log to MLFlow via mlflow.pytorch.autolog()
- Docs
- Python not yet supported