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
- SLURM training: training freezes when using `ddp` and torchdata
- when using huggingface pretrained model with multi-gpu, model parameters were duplicate for every gpu in ram
- `TensorBoardLogger` does not save logs correctly on GCS
- Differences in layer ordering causes errors when resuming from checkpoints
- Allow custom model loading behavior
- `ProgressBar` created in `LightningModule.configure_callbacks` does not override default `ProgressBar`
- Dynamic/variable batch size support
- Checkpoint do not save under multinode training mode when using Webdataset
- Support memory snapshotting on OOM error
- Import order with hf-datasets,pl and spacy leads to unpickling error
- Docs
- Python not yet supported