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from accelerate.commands.utils import CustomArgumentParser |
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from accelerate.utils import merge_fsdp_weights |
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description = """Utility to merge the weights from multiple FSDP checkpoints into a single combined checkpoint. Should be used if |
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`SHARDED_STATE_DICT` was used for the model. Weights will be saved to `{output_path}`. |
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This is a CPU-bound process and requires enough RAM to load the entire model state dict.""" |
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def merge_command(args): |
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merge_fsdp_weights( |
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args.checkpoint_directory, args.output_path, not args.unsafe_serialization, args.remove_checkpoint_dir |
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) |
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def merge_command_parser(subparsers=None): |
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if subparsers is not None: |
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parser = subparsers.add_parser("merge-weights", description=description) |
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else: |
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parser = CustomArgumentParser(description=description) |
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parser.add_argument("checkpoint_directory", type=str, help="A directory containing sharded weights saved by FSDP.") |
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parser.add_argument( |
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"output_path", |
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type=str, |
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help="The path to save the merged weights. Defaults to the current directory. ", |
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) |
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parser.add_argument( |
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"--unsafe_serialization", |
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action="store_true", |
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default=False, |
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help="Whether to save the merged weights as `.bin` rather than `.safetensors` (not recommended).", |
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) |
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parser.add_argument( |
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"--remove_checkpoint_dir", |
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action="store_true", |
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help="Whether to remove the checkpoint directory after merging.", |
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default=False, |
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) |
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if subparsers is not None: |
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parser.set_defaults(func=merge_command) |
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return parser |
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def main(): |
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parser = merge_command_parser() |
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args = parser.parse_args() |
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merge_command(args) |
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if __name__ == "__main__": |
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main() |
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