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
- feat: allow custom samplers to opt out of automatic shuffling
- Fix MLFlowLogger.save_dir Windows file URI handling
- Unexpected behaviour when using prepare_data
- refactor: try catch a more specific exception during log_metrics.
- PR: Fix Duplicate Metric Logging in MLFlowLogger to Prevent MLflow Database Errors
- update ModelSummary
- LR Finder: compute gradients w.r.t. log10(lr) in exponential mode (fix torch.gradient spacing)
- Fix progress bar deadlock on DDP metrics computation.
- `lr_scheduler.step()` must be called before `optimizer.step()`
- Fix batch progress state misalignment when resuming from mid-epoch checkpoints
- Docs
- Python not yet supported