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
- build(deps): bump pytest-rerunfailures from 16.1 to 16.6.1 in /requirements
- fix(trainer): ensure model configure_callbacks ProgressBar overrides default
- Keep the protocol on last-checkpoint paths from a remote dirpath
- First epoch after resuming from checkpoint uses sampler epoch 0 (regression from #20775, num_workers > 0)
- tests: skip test_tensorboard_with_symlink on Windows without symlink privilege
- Fix resumed training drawing the first epoch with sampler epoch 0 when the dataloader uses workers
- feat(callbacks): add `min_delta` parameter to `ModelCheckpoint` (#14353)
- feat(TQDMProgressBar): add warmup_batches to exclude torch.compile overhead from ETA
- Do not run the wrapped module's property getter when setting an attribute
- Remove the call tracker's forward hooks and reset its flag on every call
- Docs
- Python not yet supported