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
- Model Checkpointing + FSDP causes Cuda OOM
- `hparams` not loaded when loading checkpoint via LightningCLI
- Save save_hyperparameters no longer respects linked arguments.
- NCCL backend fails during multi-node, multi-GPU training
- `Trainer`'s `.init_module()` context does not initialize model on target device
- The problem shows: version incompatibility from v1.3.x to v2.4
- the example that shows "The LightningModule also has access to the Hyperparameters" is not correct
- Incosistant memory usage comparing to huggingface trainer when using deepspeed
- RichProgressBar: refresh_rate doesn't affect metric_component
- Error encountered while using multiple optimizers inside a loop.
- Docs
- Python not yet supported