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
- MisconfigurationException: Do not set `gradient_accumulation_steps` in the DeepSpeed config
- Dataloader on multi-gpu jobs only surpport to manipulate on local_rank=0, is there a way tom manipulate every device?
- Lightning stalls with 2 GPUs on 1 node with SLURM (and apptainer)
- can't fit with ddp_notebook on a Vertex AI Workbench instance (CUDA initialized)
- WIP: Integrate Collective into strategies
- Using the MLflow logger produces Inconsistent metric plots
- Possible bug in recognizing `mps` accelerator even though PyTorch seems to register the `mps` device?
- Error loading a saved model to run inference (using ddp_notebook strategy)
- Resume training, how to change learning scheduler?
- Added some more potentially robust ways to do learning rate tuning
- Docs
- Python not yet supported