#!/usr/bin/env python # Copyright 2024 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from accelerate.commands.utils import CustomArgumentParser from accelerate.utils import merge_fsdp_weights description = """Utility to merge the weights from multiple FSDP checkpoints into a single combined checkpoint. Should be used if `SHARDED_STATE_DICT` was used for the model. Weights will be saved to `{output_path}`. This is a CPU-bound process and requires enough RAM to load the entire model state dict.""" def merge_command(args): merge_fsdp_weights( args.checkpoint_directory, args.output_path, not args.unsafe_serialization, args.remove_checkpoint_dir ) def merge_command_parser(subparsers=None): if subparsers is not None: parser = subparsers.add_parser("merge-weights", description=description) else: parser = CustomArgumentParser(description=description) parser.add_argument("checkpoint_directory", type=str, help="A directory containing sharded weights saved by FSDP.") parser.add_argument( "output_path", type=str, help="The path to save the merged weights. Defaults to the current directory. ", ) parser.add_argument( "--unsafe_serialization", action="store_false", default=False, help="Whether to save the merged weights as `.bin` rather than `.safetensors` (not recommended).", ) parser.add_argument( "--remove_checkpoint_dir", action="store_true", help="Whether to remove the checkpoint directory after merging.", default=False, ) if subparsers is not None: parser.set_defaults(func=merge_command) return parser def main(): parser = merge_command_parser() args = parser.parse_args() merge_command(args) if __name__ == "__main__": main()