a d @sdZddlZddlmZddlmZmZmZmZddl Z ddl Z ddl m Z ddl mZddlmZmZdeeefeedd d Zeeed d d ZeeefeeefddddZdS)z)Utilities related to data saving/loading.N)Path)AnyDictIOUnion) url_to_fs)AbstractFileSystem)_MAP_LOCATION_TYPE_PATH) path_or_url map_locationreturncCst|ttfstj||dSt|dr>tjjt||dSt|}| |d}tj||dWdS1sv0YdS)zLoads a checkpoint. Args: path_or_url: Path or URL of the checkpoint. map_location: a function, ``torch.device``, string or a dict specifying how to remap storage locations. )r httprbN) isinstancestrrtorchload startswithZhubZload_state_dict_from_urlget_filesystemopen)r r fsfrl/var/www/html/stable-diffusion-webui/venv/lib/python3.9/site-packages/lightning_fabric/utilities/cloud_io.py_loads r)pathkwargsr cKstt|fi|\}}|S)N)rr)rrr_rrrr3sr) checkpointfilepathr cCsRt}t||t|d}||Wdn1sD0YdS)aSaves a checkpoint atomically, avoiding the creation of incomplete checkpoints. Args: checkpoint: The object to save. Built to be used with the ``dump_checkpoint`` method, but can deal with anything which ``torch.save`` accepts. filepath: The path to which the checkpoint will be saved. This points to the file that the checkpoint will be stored in. wbN)ioBytesIOrsavefsspecrwritegetvalue)rr Z bytesbufferrrrr _atomic_save8s  r()N)__doc__r"pathlibrtypingrrrrr%rZ fsspec.corerZfsspec.implementations.localrZ lightning_fabric.utilities.typesr r rrrr(rrrrs