


# 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 		__lowerCAmelCase   (							_UpperCamelCase=None		)    ->				Any:






      '''simple docstring'''

      if subparsers is not None:
            lowerCamelCase__:						Optional[Any]							   = subparsers.add_parser("""env"""		)
      else:
            lowerCamelCase__:						List[str]							   = argparse.ArgumentParser("""Accelerate env command"""		)

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

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

def 		__lowerCAmelCase   (							_UpperCamelCase		)    ->				Any:






      '''simple docstring'''

      lowerCamelCase__:						Dict							   = torch.__version__
      lowerCamelCase__:						Optional[Any]							   = torch.cuda.is_available()
      lowerCamelCase__:						int							   = is_xpu_available()
      lowerCamelCase__:						Union[str, Any]							   = is_npu_available()

      lowerCamelCase__:						Optional[Any]							   = '''Not found'''
      # Get the default from the config file.
      if args.config_file is not None or os.path.isfile(_lowercase		):
            lowerCamelCase__:						List[Any]							   = load_config_from_file(args.config_file		).to_dict()

      lowerCamelCase__:						Tuple							   = {
          '''`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(_lowercase		),
          '''PyTorch NPU available''': str(_lowercase		),
          '''System RAM''': f"""{psutil.virtual_memory().total / 1024 ** 3:.2f} GB""",
      }
      if pt_cuda_available:
            lowerCamelCase__:						int							   = 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:"""		)
      lowerCamelCase__:						Optional[int]							   = (
          '''\n'''.join([f"""\t- {prop}: {val}""" for prop, val in accelerate_config.items()]		)
          if isinstance(_lowercase       ,			_lowercase		)
          else f"""\t{accelerate_config}"""
      )
      print(_lowercase		)

      lowerCamelCase__:						int							   = accelerate_config

      return info

def 		__lowerCAmelCase   (							)    ->				Union[str, Any]:






      '''simple docstring'''

      lowerCamelCase__:						List[str]							   = env_command_parser()
      lowerCamelCase__:						Tuple							   = parser.parse_args()
      env_command(_lowercase		)
      return 0


if __name__ == "__main__":
      raise SystemExit(main())












import warnings

from ...utils import logging
from .image_processing_clip import CLIPImageProcessor


__a							     =					logging.get_logger(__name__)

class     __a(	_a  ):






    """simple docstring"""





    def __init__( self  ,*_SCREAMING_SNAKE_CASE  ,**_SCREAMING_SNAKE_CASE    )					->						None:
         warnings.warn(
             '''The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'''
             ''' use CLIPImageProcessor instead.'''  ,_SCREAMING_SNAKE_CASE  ,)
         super().__init__(*_SCREAMING_SNAKE_CASE  ,**_SCREAMING_SNAKE_CASE    )