XLACheckpointIO

class pytorch_lightning.plugins.io.XLACheckpointIO(*args, **kwargs)

Bases: lightning_fabric.plugins.io.torch_io.TorchCheckpointIO

CheckpointIO that utilizes xm.save() to save checkpoints for TPU training strategies.

save_checkpoint(checkpoint, path, storage_options=None)

Save model/training states as a checkpoint file through state-dump and file-write.

Parameters:

• checkpoint (Dict[str, Any]) – dict containing model and trainer state

• path (Union[str, Path]) – write-target path

• storage_options (Optional[Any]) – not used in XLACheckpointIO.save_checkpoint

Raises:

TypeError – If storage_options arg is passed in

Return type:

None