pytorch-lightning
https://github.com/pytorchlightning/pytorch-lightning
Python
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
Triage Issues!
When you volunteer to triage issues, you'll receive an email each day with a link to an open issue that needs help in this project. You'll also receive instructions on how to triage issues.
Triage Docs!
Receive a documented method or class from your favorite GitHub repos in your inbox every day. If you're really pro, receive undocumented methods or classes and supercharge your commit history.
Python not yet supported10 Subscribers
Add a CodeTriage badge to pytorch-lightning
Help out
- Issues
- Loss does not decrease on single TPU
- Multiple GPU per node could fail silently with KubeflowEnvironment
- Training with Large Dataset Causes Infinite Stall
- Improved control of device stats callbacks
- Add feature Exponential Moving Average (EMA)
- DeepSpeed stage 3 and mixed precision cause an error
- Allow shuffling when overfit_batches is active
- Progress bar doesn't show up on Kaggle TPU with `num_workers` greater than `0`.
- DDP with 2 GPUs doesn't give same results as 1 GPU with the same effective batch size
- Mixed precision: scheduler and optimizer are called in the wrong order
- Docs
- Python not yet supported