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(pytorch): handle empty YAML/CSV and non-dict overrides in hparams saving
- Fix `_EvaluationLoop._find_value` mixed nested/scalar lookups and narrow terminal `_print_results`
- Fix stale batch indices in prediction writers for dataloaders without batch indices
- Fix import error in computer_vision_fine_tuning.py example notebook
- perf(utilities): use torch.stack in grad_norm to avoid per-parameter host sync
- Prediction writers receive stale batch indices for IterableDataset
- Fix `last.ckpt` not holding the latest state when the monitored metric stops improving
- perf(utilities): unwrap multi-decorator hooks and cache argspec in `is_param_in_hook_signature`
- Fix SWA with untracked BatchNorm and avoid per-parameter host sync in update_parameters
- Multi GPU training fails with ddp-notebook
- Docs
- Python not yet supported