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 checkpointing uses deprecated APIs with PyTorch 2.2
- `batch_sampler.batch_size` is None with deepspeed and `DataLoader(batch_size=None)`
- How to log artifacts on rank > 0?
- Enable support for Intel XPU devices (AKA Intel GPUs)
- Logging failed when using mlflow with sqlite tracking uri
- Delete stub `forward()` method in `LightningModule`
- S3 support for WandBLogger
- A new after on_save_checkpoint callback for AsyncCheckpointIO
- make test failing
- Extra training step/global_step incrementation when resuming training from a checkpoint
- Docs
- Python not yet supported