"""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


_a :						Tuple			       =  '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 				SCREAMING_SNAKE_CASE	(     )			-> Union[str, Any]:
  _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		:			str         =	get_sagemaker_input()
  else:
    _lowerCAmelCase		:			Dict         =	get_cluster_input()
  return config





def 				SCREAMING_SNAKE_CASE	(     _lowerCamelCase		:			Union[str, Any]=None      )			-> Optional[int]:
  if subparsers is not None:
    _lowerCAmelCase		:			List[Any]         =	subparsers.add_parser("""config"""     ,description=lowercase_      )
  else:
    _lowerCAmelCase		:			List[Any]         =	argparse.ArgumentParser("""Accelerate config command"""     ,description=lowercase_      )

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





def 				SCREAMING_SNAKE_CASE	(     _lowerCamelCase		:			List[Any]      )			-> Tuple:
  _lowerCAmelCase		:			Optional[int]         =	get_user_input()
  if args.config_file is not None:
    _lowerCAmelCase		:			Optional[int]         =	args.config_file
  else:
    if not os.path.isdir(lowercase_      ):
      os.makedirs(lowercase_      )
    _lowerCAmelCase		:			Any         =	default_yaml_config_file

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





def 				SCREAMING_SNAKE_CASE	(     )			-> Tuple:
  _lowerCAmelCase		:			int         =	config_command_parser()
  _lowerCAmelCase		:			List[Any]         =	parser.parse_args()
  config_command(lowercase_      )


if __name__ == "__main__":
     main()











from ...configuration_utils import PretrainedConfig
from ...utils import logging


_lowerCamelCase      							=   logging.get_logger(__name__)

_lowerCamelCase      							=   {
    'sayakpaul/vit-msn-base': 'https://huggingface.co/sayakpaul/vit-msn-base/resolve/main/config.json',
    # See all ViT MSN models at https://huggingface.co/models?filter=vit_msn
}







class       __A							(   lowerCamelCase__	):




      """simple docstring"""







      UpperCAmelCase__							=   """vit_msn"""


      def __init__(		self   ,				a__=768   ,				a__=12   ,				a__=12   ,				a__=3072   ,				a__="gelu"   ,				a__=0.0   ,				a__=0.0   ,				a__=0.02   ,				a__=1e-06   ,				a__=224   ,				a__=16   ,				a__=3   ,				a__=True   ,				**a__   ,				):



             """simple docstring"""





             super().__init__(**a__)

             _lowerCamelCase				:  Tuple						=		hidden_size
             _lowerCamelCase				:  str						=		num_hidden_layers
             _lowerCamelCase				:  int						=		num_attention_heads
             _lowerCamelCase				:  Optional[int]						=		intermediate_size
             _lowerCamelCase				:  Union[str, Any]						=		hidden_act
             _lowerCamelCase				:  str						=		hidden_dropout_prob
             _lowerCamelCase				:  List[Any]						=		attention_probs_dropout_prob
             _lowerCamelCase				:  Optional[int]						=		initializer_range
             _lowerCamelCase				:  Optional[Any]						=		layer_norm_eps
             _lowerCamelCase				:  Dict						=		image_size
             _lowerCamelCase				:  Tuple						=		patch_size
             _lowerCamelCase				:  List[str]						=		num_channels
             _lowerCamelCase				:  Optional[int]						=		qkv_bias

