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
- build(deps): update torchvision requirement from <0.26.0,>=0.16.0 to >=0.16.0,<0.27.0 in /requirements
- build(deps): bump click from 8.3.1 to 8.3.2 in /requirements
- Add `broadcast_sigterm_every_n_steps` to reduce SIGTERM broadcast overhead
- feat: add `enable_device_summary` flag to Trainer
- Add num_nodes() method to ClusterEnvironment
- fix: use fsspec for DeepSpeed checkpoint path validation to support remote URIs
- DeepSpeed _validate_checkpoint_directory fails with remote filesystem URIs (e.g. HDFS, S3, CFS)
- AsyncCheckpointIO Should Clone() to CPU not on GPU
- [Energy] N6 Arithmetic: 50-70% AI Training/Inference Energy Reduction — 17 Techniques with Code
- fix: remove incorrect disabled=True for CometLogger offline mode
- Docs
- Python not yet supported