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
- Add DeviceSummary callback to control device printout
- forced CPU-GPU optimization at the end of every training step resulting in underutilization of GPU
- Tensorboard logging breaks with certain scalar values with numpy >= 2.4.0
- log_dict: support MetricCollection containing ClasswiseWrapper
- feat: dcp async checkpoint integration
- build(deps): bump torch from 2.9.1 to 2.10.0 in /requirements
- `mark_forward_method` does not work with `ModelParallelStrategy`
- [Not finished] Allow customized parameter grouping for automatic optimzier configuration.
- WandbLogger: log distributed training experiments (multi-node)
- Erreur avec le le logger mlflow
- Docs
- Python not yet supported