



'''simple docstring'''




# 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_     (			_lowerCamelCase:     Optional[Any]=None      ):







		if subparsers is not None:
				__SCREAMING_SNAKE_CASE :	str					 =	subparsers.add_parser("""env"""      )
		else:
				__SCREAMING_SNAKE_CASE :	Union[str, Any]					 =	argparse.ArgumentParser("""Accelerate env command"""      )

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

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


def        lowerCAmelCase_     (			_lowerCamelCase:     Union[str, Any]      ):
		__SCREAMING_SNAKE_CASE :	List[Any]					 =	torch.__version__
		__SCREAMING_SNAKE_CASE :	Any					 =	torch.cuda.is_available()
		__SCREAMING_SNAKE_CASE :	Tuple					 =	is_xpu_available()
		__SCREAMING_SNAKE_CASE :	str					 =	is_npu_available()

		__SCREAMING_SNAKE_CASE :	Optional[Any]					 =	"""Not found"""
		# Get the default from the config file.
		if args.config_file is not None or os.path.isfile(_lowerCamelCase      ):
				__SCREAMING_SNAKE_CASE :	Tuple					 =	load_config_from_file(args.config_file      ).to_dict()

		__SCREAMING_SNAKE_CASE :	List[str]					 =	{
		    """`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(_lowerCamelCase      ),
		    """PyTorch NPU available""": str(_lowerCamelCase      ),
		    """System RAM""": F"{psutil.virtual_memory().total / 10_24 ** 3:.2f} GB",
		}
		if pt_cuda_available:
				__SCREAMING_SNAKE_CASE :	List[Any]					 =	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:"""      )
		__SCREAMING_SNAKE_CASE :	Optional[int]					 =	(
		    """\n""".join([F"\t- {prop}: {val}" for prop, val in accelerate_config.items()]      )
		    if isinstance(_lowerCamelCase ,   _lowerCamelCase      )
		    else F"\t{accelerate_config}"
		)
		print(_lowerCamelCase      )

		__SCREAMING_SNAKE_CASE :	Optional[int]					 =	accelerate_config

		return info


def        lowerCAmelCase_     (			):
		__SCREAMING_SNAKE_CASE :	Tuple					 =	env_command_parser()
		__SCREAMING_SNAKE_CASE :	Optional[Any]					 =	parser.parse_args()
		env_command(_lowerCamelCase      )
		return 0


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








'''simple docstring'''




import warnings

from ...utils import logging
from .image_processing_deit import DeiTImageProcessor


UpperCamelCase__ :			List[str]												=				logging.get_logger(__name__)






class 		_UpperCamelCase						(							lowerCamelCase__					):


			'''simple docstring'''

			def __init__(							self  :				Union[str, Any]							,  *lowerCAmelCase__  :				str							,  **lowerCAmelCase__  :				Any		):





					"""simple docstring"""






					warnings.warn(
					    """The class DeiTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"""
					    """ use DeiTImageProcessor instead."""							,  lowerCAmelCase__							,  )
					super().__init__(*lowerCAmelCase__							,  **lowerCAmelCase__		)