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
- perf(callbacks): avoid O(G^2) duplicate scan and redundant string replacements in LearningRateMonitor
- docs: highlight key progress-bar examples
- fix(callbacks): check parameter identity instead of torch.equal in BaseFinetuning.filter_on_optimizer
- Fix 'a optimizer' grammar in configure_optimizers docstring example
- docs: fix the default `devices` example in the Fabric arguments page
- docs: say `fast_dev_run=True` runs one batch in the debugging guide
- PyTorch Lightning documentation 404s
- fix(checkpoint): avoid overwriting checkpoint after resume
- `LearningRateMonitor(log_weight_decay=True)` crashes with `KeyError` for optimizers without weight decay
- Fix `LearningRateMonitor` crash for optimizers without weight decay
- Docs
- Python not yet supported