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 supported11 Subscribers
Add a CodeTriage badge to pytorch-lightning
Help out
- Issues
- Feature Request : Gradient Statistics Monitoring Callback
- The example_input_array in LightningModule does not support using NestedTensor with layout=torch.jagged within the model.
- Add step-based scheduling for GradientAccumulationScheduler
- Group the metrics in Tensorboard
- Frozen dataclass as a batch
- fix(fabric): raise on CPU tensor passed to all_reduce in non-CPU setup (#21530)
- Cross-validation while still enabling CLI control
- Docs: highlight key optimization code lines with :emphasize-lines:
- fix: Using batchsize of batch_sampler when using BatchSampler
- batch sampler, ddp, and sampler wrapper
- Docs
- Python not yet supported