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 FitLoop leaving _restart_stage in RESTARTED_MID_EPOCH after fast-forwarding an epoch
- fix: preserve stateful dataloader state around `estimated_stepping_batches`
- Fix FitLoop restart state after last batch checkpoint
- Assert the metric collection call count in test_metriccollection_compute_groups
- Fix resumed training drawing the first epoch with sampler epoch 0 when the dataloader uses workers
- Many time passes between epochs
- Fix CombinedLoader max_size_cycle with empty iterable
- fix(model_checkpoint): don't delete remote checkpoints outside `dirpath`
- Speed up remote checkpoint loading with fs.get_file, a node-local cache and mmap
- Warn when a dataloader init argument cannot be read back
- Docs
- Python not yet supported