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
- Ability to log a file, not neccesarily tied to a 'step'
- Restoring Trainer State with Early Stop fails
- Feature request: FSDP native strategy for TPUs
- distributed inference
- Add BMUF Multi-GPU Training Method
- Training with Large Dataset Causes Infinite Stall
- Before/After dataloader batch callback hooks
- 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
- Docs
- Python not yet supported