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
- feat: add best_model_metrics to ModelCheckpoint callback
- Trainer.predict and Trainer.test reset model state to evaluation
- [Doc] https://lightning.ai/docs/pytorch/stable/ not showing the latest 2.6.0 doc
- Dataloader reload bug when loading from checkpoint
- torch.compile doesn't work with self.toggle_optimizer() in lightning module
- Cpu memory accumulation bug
- Allow weight reuse in a different lightning module
- `torch.set_float32_matmul_precision` deprecation
- DDP Validation Metric Logging got Misplaced Silently When Processes Different Metric Keys on Different Devices
- FabricModule: wrap forward methods instead of monkeypatch-based redirect
- Docs
- Python not yet supported