pytorch-lightning
https://github.com/pytorchlightning/pytorch-lightning
Python
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
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- Issues
- fix: resume from max_steps checkpoint saved on an epoch boundary
- docs: update SECURITY.md pointing reporters to [email protected]
- fix: allow `LearningRateMonitor` to be used without a logger
- Avoid mutating input `scheduling` dict and reject boolean keys/values in `GradientAccumulationScheduler`
- Fix `_CheckpointConnector.__max_ckpt_version_in_folder` matching unrelated files
- Fix `_log_hyperparams` key-collision check for shared `Tensor` and `ndarray` hparams
- fix(fabric): validate Throughput.update inputs before mutating windows
- ci: repair documentation checks and interrupted test cleanup
- Docs version pinning replaces working stable links with unavailable versions
- Fix negative base_seed in `pl_worker_init_function` and ensure `isolate_rng` restores state on exception
- Docs
- Python not yet supported