lightning
https://github.com/lightning-ai/lightning
Python
Deep learning framework to train, deploy, and ship AI products Lightning fast.
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- Issues
- XLA FSDP strategy has undocumented requirement for using activation checkpointing
- "save_last" could not save a complete checkpoint
- Include VertexAI cluster environment for Fabric
- I think it's deadly necessary to add docs or tutorials for handling the case when We return multiple loaders in test_dataloaders() method? I think it
- Error when fast_dev_run=True or num_sanity_val_steps=0 and using torchmetrics MetricTracker
- Fabric: Incorrect `num_replicas` (ddp/fsdp) when number of GPUs on each node is different
- MLFlowLogger fails when logging hyperparameters as Trainer already does automatically
- Is "Prepare a config file for the CLI" out of date?
- 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?
- Docs
- Python not yet supported