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 shuffling when overfit_batches is active
- Progress bar doesn't show up on Kaggle TPU with `num_workers` greater than `0`.
- [RFC] Deprecate `log_every_n_steps` from Trainer
- Enable Rich Progress Bar/Model Summary if Rich is available
- Syncing the log_dir across ranks is not valid with multiple nodes
- 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
- Docs
- Python not yet supported