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
- `ckpt_path` in `Trainer` accepts URIs to automatically load checkpoints from remote paths
- Fix typo on estimated_stepping_batches property in trainer.py
- Exception in RecordFunction callback: state_ptr INTERNAL ASSERT FAILED at "../torch/csrc/profiler/standalone/nvtx_observer.cpp":115
- (1/n) Support 2D Parallelism
- trainer.fit from checkpoint without performance improvement will break 'last' link to checkpoint on window11
- [App] Extend retry to 4xx except 400, 401, 403, 404
- docs: Bump HPU ref `1.5.0`
- ModelCheckpoint: Using save_top_k, only the first k models are stored, not the best k models
- Unable to extract confusion matrix as a metric from trainer
- Remove `numpy` dependencies in `src/lightning/pytorch`
- Docs
- Python not yet supported