
'''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
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


UpperCAmelCase_							: Optional[Any] =							'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_							(						):



      """simple docstring"""




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







def 		A_							(						_lowerCAmelCase :     str=None				):



      """simple docstring"""




      if subparsers is not None:
            _lowerCamelCase					: Any		    = subparsers.add_parser("config"					,						description=_lowerCAmelCase				)
      else:
            _lowerCamelCase					: Optional[int]		    = argparse.ArgumentParser("Accelerate config command"					,						description=_lowerCAmelCase				)

      parser.add_argument(
          "--config_file"					,						default=_lowerCAmelCase					,						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=_lowerCAmelCase				)
      return parser







def 		A_							(						_lowerCAmelCase :     List[Any]				):



      """simple docstring"""




      _lowerCamelCase					: str		    = get_user_input()
      if args.config_file is not None:
            _lowerCamelCase					: List[str]		    = args.config_file
      else:
            if not os.path.isdir(_lowerCAmelCase				):
                  os.makedirs(_lowerCAmelCase				)
            _lowerCamelCase					: str		    = default_yaml_config_file

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







def 		A_							(						):



      """simple docstring"""




      _lowerCamelCase					: Tuple		    = config_command_parser()
      _lowerCamelCase					: Tuple		    = parser.parse_args()
      config_command(_lowerCAmelCase				)


if __name__ == "__main__":
 main()







"""simple docstring"""
from ...utils import logging
from ..ta.modeling_tf_ta import TFTaEncoderModel, TFTaForConditionalGeneration, TFTaModel
from .configuration_mta import MTaConfig


lowerCamelCase_							      = logging.get_logger(__name__)

lowerCamelCase_							      = '''T5Config'''







class      UpperCamelCase_			(__A	):
	__magic_name__       =							'''mt5'''
	__magic_name__       =							MTaConfig







class      UpperCamelCase_			(__A	):
	__magic_name__       =							'''mt5'''
	__magic_name__       =							MTaConfig







class      UpperCamelCase_			(__A	):
	__magic_name__       =							'''mt5'''
	__magic_name__       =							MTaConfig



