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 `_load` treating local relative paths starting with `http` as URLs
- Fix `save_hyperparameters` crash when `__init__` has array/tensor args alongside a container
- AsyncCheckpointIO retains live NumPy arrays while snapshotting model tensors
- Snapshot NumPy state before asynchronous checkpoint writes
- Fix upgrade_checkpoint failure on PyTorch 2.6+ due to weights_only=True default
- CI [doctest]: Don't match the progress bar width in the hooks doctest
- Restore stateful dataloader states when resuming from end-of-epoch checkpoints
- Docs: Fix case-sensitive import in Fabric README
- Fix TorchSyncBatchNorm.revert resetting eval-mode layers to training=True
- Resuming from a checkpoint saved at a max_steps stop on an epoch boundary replays the next epoch's first batch and drops its last
- Docs
- Python not yet supported