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
- Honor explicit repeated PyTorch profiler schedules
- Size Rich metric columns by terminal display width
- Resume completed epochs normally when max_steps is set
- Use recorded-loss count in LR finder searches
- Accept callback sequences without mutating caller inputs
- Preserve first-loader metrics across evaluation reloads
- make standalone returns success when its test runner fails
- docs: fix typo in `trainer.rst`
- Fix EMA updates after skipped AMP optimizer steps
- EMAWeightAveraging updates the average model on steps skipped by the AMP GradScaler
- Docs
- Python not yet supported