






import argparse
import os

import torch

from transformers.utils import WEIGHTS_NAME


snake_case    				=		["""small""", """medium""", """large"""]

snake_case    				=		"""lm_head.decoder.weight"""
snake_case    				=		"""lm_head.weight"""


def   lowerCamelCase__			(     lowercase						,     lowercase				):

  """simple docstring"""






  SCREAMING_SNAKE_CASE       :      Any							=    torch.load(lowercase				)
  SCREAMING_SNAKE_CASE       :      Optional[Any]							=    d.pop(lowercase				)
  os.makedirs(lowercase						,     exist_ok=lowercase				)
  torch.save(lowercase						,     os.path.join(lowercase						,     lowercase				)				)


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














from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments


def   lowerCamelCase__			(     ):

  """simple docstring"""






  SCREAMING_SNAKE_CASE       :      List[Any]							=    HfArgumentParser(lowercase				)
  SCREAMING_SNAKE_CASE       :      Any							=    parser.parse_args_into_dataclasses()[0]
  SCREAMING_SNAKE_CASE       :      Optional[Any]							=    TensorFlowBenchmark(args=lowercase				)
  try:
    SCREAMING_SNAKE_CASE       :      Union[str, Any]							=    parser.parse_args_into_dataclasses()[0]
  except ValueError as e:
    SCREAMING_SNAKE_CASE       :      int							=    "Arg --no_{0} is no longer used, please use --no-{0} instead."
    SCREAMING_SNAKE_CASE       :      Optional[int]							=    " ".join(str(lowercase				).split(" "				)[:-1]				)
    SCREAMING_SNAKE_CASE       :      Union[str, Any]							=    ""
    SCREAMING_SNAKE_CASE       :      Any							=    eval(str(lowercase				).split(" "				)[-1]				)
    SCREAMING_SNAKE_CASE       :      List[str]							=    []
    for arg in depreciated_args:
      # arg[2:] removes '--'
      if arg[2:] in TensorFlowBenchmark.deprecated_args:
        # arg[5:] removes '--no_'
        full_error_msg += arg_error_msg.format(arg[5:]				)
      else:
        wrong_args.append(lowercase				)
    if len(lowercase				) > 0:
      SCREAMING_SNAKE_CASE       :      Optional[int]							=    full_error_msg + begin_error_msg + str(lowercase				)
    raise ValueError(lowercase				)
  benchmark.run()


if __name__ == "__main__":
   main()






