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
- When doing tuner.scale_batch_size, check full dataset length first
- Log `TensorBoard` histograms
- `ckpt_path` in `Trainer` accepts URIs to automatically load checkpoints from remote paths
- Exception in RecordFunction callback: state_ptr INTERNAL ASSERT FAILED at "../torch/csrc/profiler/standalone/nvtx_observer.cpp":115
- trainer.fit from checkpoint without performance improvement will break 'last' link to checkpoint on window11
- Unable to extract confusion matrix as a metric from trainer
- TensorBoardLogger has the wrong epoch numbers much more than the fact
- How to incorporate vLLM in Lightning for LLM inference?
- WandbLogger `save_dir` and `dir` parameters do not work as expected.
- Loading large models with fabric, FSDP and empty_init=True does not work
- Docs
- Python not yet supported