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
- `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
- calling iter twice messes up dataloaders with queues
- Delete stub forward() method in LightningModule
- Insert the `**profiler_kwargs` from pytorchprofiler into usual args
- S3 support for WandBLogger
- A new after on_save_checkpoint callback for AsyncCheckpointIO
- make test failing
- Docs
- Python not yet supported