






'''simple docstring'''

# Copyright 2021 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.

import argparse

from ...utils.dataclasses import (
    ComputeEnvironment,
    DistributedType,
    DynamoBackend,
    PrecisionType,
    SageMakerDistributedType,
)
from ..menu import BulletMenu


UpperCAmelCase__						:str          =			[
    """EAGER""",
    """AOT_EAGER""",
    """INDUCTOR""",
    """NVFUSER""",
    """AOT_NVFUSER""",
    """AOT_CUDAGRAPHS""",
    """OFI""",
    """FX2TRT""",
    """ONNXRT""",
    """IPEX""",
]
def     __lowercase  (_lowercase,						_lowercase=None,						_lowercase=None,						_lowercase=None     )   ->     Tuple:


     """simple docstring"""
     __lowerCamelCase						:       str				   =				True
     while ask_again:
          __lowerCamelCase						:       str				   =				input(_lowercase     )
          try:
               if default is not None and len(_lowercase     ) == 0:
                    return default
               return convert_value(_lowercase     ) if convert_value is not None else result
          except Exception:
               if error_message is not None:
                    print(_lowercase     )
def     __lowercase  (_lowercase,						_lowercase=[],						_lowercase=None,						_lowercase=0     )   ->     Union[str, Any]:


     """simple docstring"""
     __lowerCamelCase						:       Dict				   =				BulletMenu(_lowercase,						_lowercase     )
     __lowerCamelCase						:       Optional[Any]				   =				menu.run(default_choice=_lowercase     )
     return convert_value(_lowercase     ) if convert_value is not None else result
def     __lowercase  (_lowercase     )   ->     Any:


     """simple docstring"""
     __lowerCamelCase						:       Optional[int]				   =				int(_lowercase     )
     return ComputeEnvironment(["""LOCAL_MACHINE""", """AMAZON_SAGEMAKER"""][value]     )
def     __lowercase  (_lowercase     )   ->     List[str]:


     """simple docstring"""
     __lowerCamelCase						:       List[Any]				   =				int(_lowercase     )
     return DistributedType(["""NO""", """MULTI_CPU""", """MULTI_XPU""", """MULTI_GPU""", """MULTI_NPU""", """TPU"""][value]     )
def     __lowercase  (_lowercase     )   ->     Any:


     """simple docstring"""
     __lowerCamelCase						:       int				   =				int(_lowercase     )
     return DynamoBackend(DYNAMO_BACKENDS[value]     ).value
def     __lowercase  (_lowercase     )   ->     Optional[int]:


     """simple docstring"""
     __lowerCamelCase						:       Tuple				   =				int(_lowercase     )
     return PrecisionType(["""no""", """fp16""", """bf16""", """fp8"""][value]     )
def     __lowercase  (_lowercase     )   ->     Optional[int]:


     """simple docstring"""
     __lowerCamelCase						:       Any				   =				int(_lowercase     )
     return SageMakerDistributedType(["""NO""", """DATA_PARALLEL""", """MODEL_PARALLEL"""][value]     )
def     __lowercase  (_lowercase     )   ->     Any:


     """simple docstring"""
     return {"yes": True, "no": False}[value.lower()]







class 	SCREAMING_SNAKE_CASE	(      argparse.RawDescriptionHelpFormatter  ):




       def 					a_					(					self      : Optional[Any]	,    A__      : List[str]	,    A__      : List[str]	,    A__      : int	,    A__      : List[Any]					):


            """simple docstring"""







            __lowerCamelCase						:       int				   =				super()._format_usage(A__	,    A__	,    A__	,    A__					)
            __lowerCamelCase						:       Tuple				   =				usage.replace("""<command> [<args>] """	,    """"""					)
            return usage











'''simple docstring'''

from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments
def     __lowercase  ()   ->     str:


     """simple docstring"""
     __lowerCamelCase						:       Any				   =				HfArgumentParser(_lowercase     )
     __lowerCamelCase						:       List[str]				   =				parser.parse_args_into_dataclasses()[0]
     __lowerCamelCase						:       Dict				   =				TensorFlowBenchmark(args=_lowercase     )
     try:
          __lowerCamelCase						:       List[str]				   =				parser.parse_args_into_dataclasses()[0]
     except ValueError as e:
          __lowerCamelCase						:       Tuple				   =				"""Arg --no_{0} is no longer used, please use --no-{0} instead."""
          __lowerCamelCase						:       List[Any]				   =				""" """.join(str(_lowercase     ).split(""" """     )[:-1]     )
          __lowerCamelCase						:       Tuple				   =				""""""
          __lowerCamelCase						:       List[str]				   =				eval(str(_lowercase     ).split(""" """     )[-1]     )
          __lowerCamelCase						:       Tuple				   =				[]
          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:
               __lowerCamelCase						:       Tuple				   =				full_error_msg + begin_error_msg + str(_lowercase     )
          raise ValueError(_lowercase     )
     benchmark.run()


if __name__ == "__main__":
   main()



