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
- Callback for logging forward, backward and update time
- Custom batch selection for logging
- Continuing training with `ckpt_path="last"` and MLFLowLogger fails in distributed setting
- The training process will stop unexpectedly
- Lightning Fabric: generic method to get the full state dict
- KeyboardInterrupt raises an exception which results in a zero exit code
- 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
- Docs
- Python not yet supported