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
- fix: Using batchsize of batch_sampler when using BatchSampler
- batch sampler, ddp, and sampler wrapper
- Set experiment tags in MLflow
- Add experiment_tags parameter to MLFlowLogger
- Revamp Async Checkpointing to Use PyTorch Distributed Checkpoint (DCP) async_save
- Epoch start freezing regression
- Fix validation skipped when IterableDataset exhausts early
- Fix TensorBoard logging compatibility with numpy 2.4.0+ scalar handling
- Cannot make test case unused parameters for proposed strategy in PR
- feat: DeepNVME checkpoint integration
- Docs
- Python not yet supported