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
- How to rollback optimizer step (i.e. reload best checkpoint) during training?
- Add logger state dumping and restoring
- Datapipe handling with more than 1 GPU gives torch.multiprocessing.spawn.ProcessExitedException: process 1 terminated with exit code 1
- [RFC] "auto" precision support
- MLFlowLogger used with server crashes training
- Different data-loading behaviour in 1.6.0 version.
- Support Apache TVM export
- Add `CheckpointIO` classes to split checkpoints
- Enable Hyperparameter logging from any hook in the LightningModule
- DeepSpeed breaks learning rate scheduler checkpointing
- Docs
- Python not yet supported