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
- "backward pass is invalid for module in evaluation mode" with deepspeed stage 3
- 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
- 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
- Docs
- Python not yet supported