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
- Trainer does not switch to train mode after validation step
- loss spikes in validation step when the model has multiple losses applied
- docs: fixed the `init_module` and deepspeed
- Add `step` parameter to `TensorBoardLogger.log_hyperparams`
- False positive iterable dataset warning for LitData StreamingDataset
- Remove the `optimizer_to_device` logic if possible
- Bug: automatic logging doesn't log metric on steps if .update is used
- Add email callback on train complete
- Confusing recommendation to use sync_dist=True even with TorchMetrics
- How to use Webdataset in DDP setting? ValueError: you need to add an explicit nodesplitter to your input pipeline for multi-node training
- Docs
- Python not yet supported