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
- Hide progress bars on HPC logging environments but keep in interactive terminals
- Add `min_delta` argument to `ModelCheckpoint` callback
- Share/collect non-tensor objects between processes.
- MPS AMP Support
- Deadlock after training model with TPU VM 3.8 and while resuming training.
- Documentation for averaging logged values when using accumulate_grad_batches
- lr_find suggestion ignores lr steps
- LayerNorm / BatchNorm fp16 behavior is different in Pytorch Native and Deepspeed
- Strange Performance issues with PL + FFCV
- Introduce `Logger.experiment_dir`
- Docs
- Python not yet supported