# Copyright 2022 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
import platform

import numpy as np
import psutil
import torch

from accelerate import __version__ as version
from accelerate.commands.config import default_config_file, load_config_from_file

from ..utils import is_npu_available, is_xpu_available



def      __lowercase				(      _UpperCAmelCase=None			)      ->     Any:






  '''simple docstring'''

  if subparsers is not None:
    __lowercase					=		subparsers.add_parser("env"			)
  else:
    __lowercase					=		argparse.ArgumentParser("Accelerate env command"			)

  parser.add_argument(
      "--config_file"			, default=SCREAMING_SNAKE_CASE__			, help="The config file to use for the default values in the launching script."			)

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



def      __lowercase				(      _UpperCAmelCase			)      ->     Tuple:






  '''simple docstring'''

  __lowercase					=		torch.__version__
  __lowercase					=		torch.cuda.is_available()
  __lowercase					=		is_xpu_available()
  __lowercase					=		is_npu_available()

  __lowercase					=		'Not found'
  # Get the default from the config file.
  if args.config_file is not None or os.path.isfile(SCREAMING_SNAKE_CASE__			):
    __lowercase					=		load_config_from_file(args.config_file			).to_dict()

  __lowercase					=		{
      '`Accelerate` version': version,
      'Platform': platform.platform(),
      'Python version': platform.python_version(),
      'Numpy version': np.__version__,
      'PyTorch version (GPU?)': f'''{pt_version} ({pt_cuda_available})''',
      'PyTorch XPU available': str(SCREAMING_SNAKE_CASE__			),
      'PyTorch NPU available': str(SCREAMING_SNAKE_CASE__			),
      'System RAM': f'''{psutil.virtual_memory().total / 1_024 ** 3:.2f} GB''',
  }
  if pt_cuda_available:
    __lowercase					=		torch.cuda.get_device_name()

  print("\nCopy-and-paste the text below in your GitHub issue\n"			)
  print("\n".join([f'''- {prop}: {val}''' for prop, val in info.items()]			)			)

  print("- `Accelerate` default config:" if args.config_file is None else "- `Accelerate` config passed:"			)
  __lowercase					=		(
      '\n'.join([f'''\t- {prop}: {val}''' for prop, val in accelerate_config.items()]			)
      if isinstance(SCREAMING_SNAKE_CASE__			, SCREAMING_SNAKE_CASE__			)
      else f'''\t{accelerate_config}'''
  )
  print(SCREAMING_SNAKE_CASE__			)

  __lowercase					=		accelerate_config

  return info



def      __lowercase				(      )      ->     Any:






  '''simple docstring'''

  __lowercase					=		env_command_parser()
  __lowercase					=		parser.parse_args()
  env_command(SCREAMING_SNAKE_CASE__			)
  return 0


if __name__ == "__main__":
     raise SystemExit(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    (  UpperCamelCase_	):
      UpperCamelCase__				:    Union[str, Any] ='vit_msn'






      def __init__(   self		:	Union[str, Any]     ,  lowercase_		:	List[str]=768     ,  lowercase_		:	Optional[int]=12     ,  lowercase_		:	List[str]=12     ,  lowercase_		:	List[Any]=3072     ,  lowercase_		:	int="gelu"     ,  lowercase_		:	List[Any]=0.0     ,  lowercase_		:	Optional[int]=0.0     ,  lowercase_		:	Dict=0.02     ,  lowercase_		:	Any=1E-06     ,  lowercase_		:	Union[str, Any]=224     ,  lowercase_		:	Optional[int]=16     ,  lowercase_		:	List[Any]=3     ,  lowercase_		:	Any=True     ,  **lowercase_		:	Tuple     ,  )   ->		Dict:
             """simple docstring"""




             super().__init__(**lowercase_					)

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


