


# 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
import os

from accelerate.utils import ComputeEnvironment

from .cluster import get_cluster_input
from .config_args import cache_dir, default_config_file, default_yaml_config_file, load_config_from_file  # noqa: F401
from .config_utils import _ask_field, _ask_options, _convert_compute_environment  # noqa: F401
from .sagemaker import get_sagemaker_input


__lowerCamelCase        =     '''Launches a series of prompts to create and save a `default_config.yaml` configuration file for your training system. Should always be ran first on your machine'''



def  _a			(						):
					a_    :     int										=    _ask_options(
					    """In which compute environment are you running?"""  ,  ["""This machine""", """AWS (Amazon SageMaker)"""]  ,  _convert_compute_environment  ,  )
					if compute_environment == ComputeEnvironment.AMAZON_SAGEMAKER:
										a_    :     int										=    get_sagemaker_input()
					else:
										a_    :     Optional[int]										=    get_cluster_input()
					return config



def  _a			(						__UpperCamelCase=None ):
					if subparsers is not None:
										a_    :     Tuple										=    subparsers.add_parser("""config"""  ,  description=__UpperCamelCase )
					else:
										a_    :     List[str]										=    argparse.ArgumentParser("""Accelerate config command"""  ,  description=__UpperCamelCase )

					parser.add_argument(
					    """--config_file"""  ,  default=__UpperCamelCase  ,  help=(
					        """The path to use to store the config file. Will default to a file named default_config.yaml in the cache """
					        """location, which is the content of the environment `HF_HOME` suffixed with \'accelerate\', or if you don\'t have """
					        """such an environment variable, your cache directory (\'~/.cache\' or the content of `XDG_CACHE_HOME`) suffixed """
					        """with \'huggingface\'."""
					    )  ,  )

					if subparsers is not None:
										parser.set_defaults(func=__UpperCamelCase )
					return parser



def  _a			(						__UpperCamelCase ):
					a_    :     Dict										=    get_user_input()
					if args.config_file is not None:
										a_    :     Union[str, Any]										=    args.config_file
					else:
										if not os.path.isdir(__UpperCamelCase ):
															os.makedirs(__UpperCamelCase )
										a_    :     str										=    default_yaml_config_file

					if config_file.endswith(""".json""" ):
										config.to_json_file(__UpperCamelCase )
					else:
										config.to_yaml_file(__UpperCamelCase )
					print(F'''accelerate configuration saved at {config_file}''' )



def  _a			(						):
					a_    :     str										=    config_command_parser()
					a_    :     str										=    parser.parse_args()
					config_command(__UpperCamelCase )


if __name__ == "__main__":
							main()







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__lowerCamelCase        =     {
    '''configuration_pegasus_x''': ['''PEGASUS_X_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''PegasusXConfig'''],
}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __lowerCamelCase        =     [
           '''PEGASUS_X_PRETRAINED_MODEL_ARCHIVE_LIST''',
           '''PegasusXForConditionalGeneration''',
           '''PegasusXModel''',
           '''PegasusXPreTrainedModel''',
       ]


if TYPE_CHECKING:
       from .configuration_pegasus_x import PEGASUS_X_PRETRAINED_CONFIG_ARCHIVE_MAP, PegasusXConfig

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_pegasus_x import (
                  PEGASUS_X_PRETRAINED_MODEL_ARCHIVE_LIST,
                  PegasusXForConditionalGeneration,
                  PegasusXModel,
                  PegasusXPreTrainedModel,
              )


else:
       import sys

       __lowerCamelCase        =     _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



