


import argparse
import os

import torch

from transformers.utils import WEIGHTS_NAME


snake_case							: str      =   ['''small''', '''medium''', '''large''']

snake_case							: Tuple      =   '''lm_head.decoder.weight'''
snake_case							: Dict      =   '''lm_head.weight'''






def 							A     (				__lowerCAmelCase							:       str      ,					__lowerCAmelCase							:       str     ):
							a__    =  torch.load(__lowerCAmelCase     )
							a__    =  d.pop(__lowerCAmelCase     )
							os.makedirs(__lowerCAmelCase      ,					exist_ok=__lowerCAmelCase     )
							torch.save(__lowerCAmelCase      ,					os.path.join(__lowerCAmelCase      ,					__lowerCAmelCase     )     )


if __name__ == "__main__":
						snake_case							: Any      =   argparse.ArgumentParser()
						parser.add_argument('''--dialogpt_path''', default='''.''', type=str)
						snake_case							: List[Any]      =   parser.parse_args()
						for MODEL in DIALOGPT_MODELS:
												snake_case							: List[str]      =   os.path.join(args.dialogpt_path, f"""{MODEL}_ft.pkl""")
												snake_case							: Dict      =   f"""./DialoGPT-{MODEL}"""
												convert_dialogpt_checkpoint(
												    checkpoint_path,
												    pytorch_dump_folder_path,
												)








# Copyright 2023 The HuggingFace Inc. 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.
import re

from ..utils import cached_file


# docstyle-ignore
snake_case							: Dict      =   '''
Human: <<task>>

Assistant: '''


snake_case							: Optional[int]      =   '''huggingface-tools/default-prompts'''
snake_case							: Tuple      =   {'''chat''': '''chat_prompt_template.txt''', '''run''': '''run_prompt_template.txt'''}






def 							__lowercase     (				__lowerCAmelCase							:       Any      ,					__lowerCAmelCase							:       Union[str, Any]      ,					__lowerCAmelCase							:       Any="run"     ):
							if prompt_or_repo_id is None:
														a__    =  DEFAULT_PROMPTS_REPO

							# prompt is considered a repo ID when it does not contain any kind of space
							if re.search('\\s'      ,					__lowerCAmelCase     ) is not None:
														return prompt_or_repo_id

							a__    =  cached_file(
							    __lowerCAmelCase      ,					PROMPT_FILES[mode]      ,					repo_type='dataset'      ,					user_agent={'agent': agent_name}     )
							with open(__lowerCAmelCase      ,					'r'      ,					encoding='utf-8'     ) as f:
														return f.read()




