o oi6 @sddlZddlmZmZddlmZddlZddlmZddl m Z m Z e e ZdefddZd edefd d Ze d krReZeeZe ejZeeejdSdS) N)ArgumentParser Namespace)Path)_TORCH_GREATER_EQUAL_2_3)_METADATA_FILENAME_load_distributed_checkpointreturncCs2tdd}|jdtdd|jdtdd|S)NzConverts a distributed/sharded checkpoint into a single file that can be loaded with `torch.load()`. Only supports FSDP sharded checkpoints at the moment.) descriptioncheckpoint_folderzxPath to a checkpoint folder, containing the sharded checkpoint files saved using the `torch.distributed.checkpoint` API.)typehelpz --output_filezPath to the file where the converted checkpoint should be saved. The file should not already exist. If no path is provided, the file will be saved next to the input checkpoint folder with the same name and a '.consolidated' suffix.)r add_argumentstr parse_args)parserre/home/ubuntu/.local/lib/python3.10/site-packages/lightning/fabric/utilities/consolidate_checkpoint.py_parse_cli_args s rargscCsts tdtdt|j}|s td|td|s0td|td|t sBtd|td|j durP| |j d}nt|j }|retd|tdt ||dS) Nz;Processing distributed checkpoints requires PyTorch >= 2.3.z/The provided checkpoint folder does not exist: zQThe provided checkpoint path must be a folder, containing the checkpoint shards: zOnly FSDP-sharded checkpoints saved with Lightning are supported for consolidation. The provided folder is not in that format: z .consolidatedzThe path for the converted checkpoint already exists. Choose a different path by providing `--output_file` or move/delete the file first: )r output_file)r_logerrorexitrr existsis_dirris_filer with_suffixsuffixr)rr rrrr_process_cli_args(s<      r__main__)loggingargparserrpathlibrtorch"lightning.fabric.utilities.importsrlightning.fabric.utilities.loadrr getLogger__name__rrrrconfigr checkpointsaverrrrrs   #