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
- The example_input_array in LightningModule does not support using NestedTensor with layout=torch.jagged within the model.
- feat(loggers): add group_metrics_by_prefix to TensorBoardLogger for grouped plots
- Add step-based scheduling for GradientAccumulationScheduler
- fix: avoid AccumulateGrad stream mismatch by using default stream for DDP init
- 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:
- AccumulateGrad Warning
- Docs
- Python not yet supported