lightning
https://github.com/lightning-ai/lightning
Python
Deep learning framework to train, deploy, and ship AI products Lightning fast.
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- Issues
- FSDP with custom state_dict()
- TQDMProgressBar calls tqdm.refresh instead of tqdm.update.
- 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
- 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
- Docs
- Python not yet supported