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
- Stepwise LR scheduler
- 7x slower training speed when switching from lightning 1.0 to 2.0
- fix: correct the positional encoding of Transformer in pytorch examples
- LightningCLI: --help argument given after the subcommand fails
- Checkpoint callback run before validation step - stale or none monitor values considered for validation metrics
- `Error while merging hparams` when using LightningCLI and YAML
- Trainer does not switch to train mode after validation step
- Add `step` parameter to `TensorBoardLogger.log_hyperparams`
- Remove the `optimizer_to_device` logic if possible
- Confusing recommendation to use sync_dist=True even with TorchMetrics
- Docs
- Python not yet supported