"""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      __UpperCAmelCase       (      lowercase=None		):







  """simple docstring"""
  if subparsers is not None:
    _UpperCAmelCase    			=   subparsers.add_parser("""env"""		)
  else:
    _UpperCAmelCase    			=   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      __UpperCAmelCase       (      lowercase		):







  """simple docstring"""
  _UpperCAmelCase    			=   torch.__version__
  _UpperCAmelCase    			=   torch.cuda.is_available()
  _UpperCAmelCase    			=   is_xpu_available()
  _UpperCAmelCase    			=   is_npu_available()

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

  _UpperCAmelCase    			=   {
      """`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 / 10_24 ** 3:.2f} GB''',
  }
  if pt_cuda_available:
    _UpperCAmelCase    			=   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:"""		)
  _UpperCAmelCase    			=   (
      """\n""".join([f'''\t- {prop}: {val}''' for prop, val in accelerate_config.items()]		)
      if isinstance(lowercase ,lowercase		)
      else f'''\t{accelerate_config}'''
  )
  print(lowercase		)

  _UpperCAmelCase    			=   accelerate_config

  return info






def      __UpperCAmelCase       (      ):







  """simple docstring"""
  _UpperCAmelCase    			=   env_command_parser()
  _UpperCAmelCase    			=   parser.parse_args()
  env_command(lowercase		)
  return 0


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

"""simple docstring"""


from collections import OrderedDict
from typing import List, Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


UpperCAmelCase__			=    logging.get_logger(__name__)

UpperCAmelCase__			=    {
    """google/efficientnet-b7""": """https://huggingface.co/google/efficientnet-b7/resolve/main/config.json""",
}


class 							a					(		lowerCAmelCase_ ):
    _snake_case  :	Tuple  				=				'efficientnet'


    def __init__(       self						:	int ,					__lowerCAmelCase						:	int = 3 ,					__lowerCAmelCase						:	int = 600 ,					__lowerCAmelCase						:	float = 2.0 ,					__lowerCAmelCase						:	float = 3.1 ,					__lowerCAmelCase						:	int = 8 ,					__lowerCAmelCase						:	List[int] = [3, 3, 5, 3, 5, 5, 3] ,					__lowerCAmelCase						:	List[int] = [32, 16, 24, 40, 80, 112, 192] ,					__lowerCAmelCase						:	List[int] = [16, 24, 40, 80, 112, 192, 320] ,					__lowerCAmelCase						:	List[int] = [] ,					__lowerCAmelCase						:	List[int] = [1, 2, 2, 2, 1, 2, 1] ,					__lowerCAmelCase						:	List[int] = [1, 2, 2, 3, 3, 4, 1] ,					__lowerCAmelCase						:	List[int] = [1, 6, 6, 6, 6, 6, 6] ,					__lowerCAmelCase						:	float = 0.25 ,					__lowerCAmelCase						:	str = "swish" ,					__lowerCAmelCase						:	int = 2560 ,					__lowerCAmelCase						:	str = "mean" ,					__lowerCAmelCase						:	float = 0.02 ,					__lowerCAmelCase						:	float = 0.001 ,					__lowerCAmelCase						:	float = 0.99 ,					__lowerCAmelCase						:	float = 0.5 ,					__lowerCAmelCase						:	float = 0.2 ,					**__lowerCAmelCase						:	Optional[Any] ,					):
      super().__init__(**__lowerCAmelCase       )

      _UpperCAmelCase    			=   num_channels
      _UpperCAmelCase    			=   image_size
      _UpperCAmelCase    			=   width_coefficient
      _UpperCAmelCase    			=   depth_coefficient
      _UpperCAmelCase    			=   depth_divisor
      _UpperCAmelCase    			=   kernel_sizes
      _UpperCAmelCase    			=   in_channels
      _UpperCAmelCase    			=   out_channels
      _UpperCAmelCase    			=   depthwise_padding
      _UpperCAmelCase    			=   strides
      _UpperCAmelCase    			=   num_block_repeats
      _UpperCAmelCase    			=   expand_ratios
      _UpperCAmelCase    			=   squeeze_expansion_ratio
      _UpperCAmelCase    			=   hidden_act
      _UpperCAmelCase    			=   hidden_dim
      _UpperCAmelCase    			=   pooling_type
      _UpperCAmelCase    			=   initializer_range
      _UpperCAmelCase    			=   batch_norm_eps
      _UpperCAmelCase    			=   batch_norm_momentum
      _UpperCAmelCase    			=   dropout_rate
      _UpperCAmelCase    			=   drop_connect_rate
      _UpperCAmelCase    			=   sum(__lowerCAmelCase       ) * 4



class 							a					(		lowerCAmelCase_ ):
    _snake_case  :	Union[str, Any]  				=				version.parse('1.11' )


    @property
    def   lowerCAmelCase_	(       self						:	Any       ):
      return OrderedDict(
          [
              ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
          ]       )


    @property
    def   lowerCAmelCase_	(       self						:	List[Any]       ):
      return 1e-5
