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
- MLFlowLogger fails when logging hyperparameters as Trainer already does automatically
- MisconfigurationException: Do not set `gradient_accumulation_steps` in the DeepSpeed config
- Dataloader on multi-gpu jobs only surpport to manipulate on local_rank=0, is there a way tom manipulate every device?
- Lightning stalls with 2 GPUs on 1 node with SLURM (and apptainer)
- can't fit with ddp_notebook on a Vertex AI Workbench instance (CUDA initialized)
- WIP: Integrate Collective into strategies
- Using the MLflow logger produces Inconsistent metric plots
- Resume training, how to change learning scheduler?
- Added some more potentially robust ways to do learning rate tuning
- Support get optimizer and lr_schedulers from deepspeed config
- Docs
- Python not yet supported