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
- test: skip symlink case without Windows privilege
- 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
- Fix batch size tuning after validation errors
- docs: Add :emphasize-lines: to code blocks in code_structure.rst (fixes #12119)
- Docs
- Python not yet supported