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
- add `to_tensorrt` in documentations.
- ModelCheckpoint: manual-optimization pre-step snapshot is not applied when the save is deferred to on_validation_end
- Fix sync_dist epoch metrics inflated by floored integer batch-size accumulator
- docs: clarify sync_dist warning is a false positive for TorchMetrics-derived values
- feat(FSDP): enable FSDP strategy on CPU and add trainable checkpointing tests
- Preserve leafless hyperparameter values in `_flatten_dict`
- Adopt typing_extensions.override in SpikeDetection callback
- fix: prevent ModelCheckpoint from deleting remote checkpoints from previous runs
- `ModelCheckpoint` deletes *previous run's* checkpoint when remote filesystem
- Device mesh initialization fails when running FSDP on CPU
- Docs
- Python not yet supported