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
- `lr_scheduler.step()` must be called before `optimizer.step()`
- Fix batch progress state misalignment when resuming from mid-epoch checkpoints
- docs(LightningModule): update docs for `.training` mode in loops
- [Help needed] How to pass `weights_only` param to `tuner`
- Fix: Respect `required=False` in `add_lightning_class_args` when `subclass_mode=False`
- MlflowException when logging checkpoints with MLFlowLogger
- Remove Redundant Host & Device Synchronizations
- Support `grad_clip_norm_()` for FSDP
- [BUG] Learning Rate finder does not find optimal lr anymore since version 2.5.3
- TQDMProgressBar bug (?) causes DDP to hang
- Docs
- Python not yet supported