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
- Remove the `optimizer_to_device` logic if possible
- Bug: automatic logging doesn't log metric on steps if .update is used
- Add email callback on train complete
- Confusing recommendation to use sync_dist=True even with TorchMetrics
- How to use Webdataset in DDP setting? ValueError: you need to add an explicit nodesplitter to your input pipeline for multi-node training
- Loading `train_dataloader` before estimating `max_batches`
- `link_arguments` does not work in lightning 2.3
- StreamingDataset not working in multi-gpu environement
- FSDP Fails with floating nn.Parameter
- Email Callback on training done
- Docs
- Python not yet supported