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
- `No inf checks were recorded for this optimizer` when using SWA together with batch norm layers
- Refactor `_SubprocessScriptLauncher` process launching strategy
- Saving the Latest best checkpoint
- Code hangs at `fabric.launch()` when nodes are ordered using SLURM
- Step when validation happens drifts for `val_check_interval` when gradient accumulation turned on
- PyTorch Lightning DDP crashes with unused parameters
- Logging metrics to mlflow in a `validation_step` at a lower frequency than once per epoch results in duplicate logs
- Cannot replicate results from vanilla Pytorch using Deepspeed integration
- Lightning 2.0 CPUAccelerator is extremely slow!
- why does lightning still not support Pipeline parallelism?
- Docs
- Python not yet supported