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
- `LearningRateFinder` fails due to missing `weights_only` parameter in checkpoint restore
- Fix: Add `weights_only` parameter to LearningRateFinder checkpoint restore
- Transformer Engine plugin fails to check weight exists for LayerNorm
- Fix #21755. Check the weight actually exists for LayerNorm in _convert_layers in the Transformer Engine plugin
- Resolve ckpt_path='best' from disk in a fresh process
- Fix WeightAveraging swapping un-averaged model during validation before first update
- Fix SpikeDetection.load_state_dict referencing nonexistent self.running
- security: avoid shell fallback in SLURM requeue
- jsonargparse 4.39 required for CLI, check at run-time
- Fix FLOPs inconsistency and add using_sparse_model flag
- Docs
- Python not yet supported