
"""simple docstring"""

import platform
from argparse import ArgumentParser

import huggingface_hub

from .. import __version__ as version
from ..utils import is_accelerate_available, is_torch_available, is_transformers_available, is_xformers_available
from . import BaseDiffusersCLICommand




def      lowercase__    (       lowerCAmelCase					:       int			)			->   int:






    """simple docstring"""




    return EnvironmentCommand()







class   _UpperCAmelCase				(		UpperCAmelCase__				):




      @staticmethod
      def      a_   (				lowercase_				)    ->       int:
          UpperCAmelCase          =       parser.add_parser('env'				)
          download_parser.set_defaults(func=UpperCAmelCase__				)




      def      a_   (				self				)    ->       Tuple:
          UpperCAmelCase          =       huggingface_hub.__version__

          UpperCAmelCase          =       'not installed'
          UpperCAmelCase          =       'NA'
          if is_torch_available():
              import torch

              UpperCAmelCase          =       torch.__version__
              UpperCAmelCase          =       torch.cuda.is_available()

          UpperCAmelCase          =       'not installed'
          if is_transformers_available():
              import transformers

              UpperCAmelCase          =       transformers.__version__

          UpperCAmelCase          =       'not installed'
          if is_accelerate_available():
              import accelerate

              UpperCAmelCase          =       accelerate.__version__

          UpperCAmelCase          =       'not installed'
          if is_xformers_available():
              import xformers

              UpperCAmelCase          =       xformers.__version__

          UpperCAmelCase          =       {
              '`diffusers` version': version,
              'Platform': platform.platform(),
              'Python version': platform.python_version(),
              'PyTorch version (GPU?)': F"{pt_version} ({pt_cuda_available})",
              'Huggingface_hub version': hub_version,
              'Transformers version': transformers_version,
              'Accelerate version': accelerate_version,
              'xFormers version': xformers_version,
              'Using GPU in script?': '<fill in>',
              'Using distributed or parallel set-up in script?': '<fill in>',
          }

          print('\nCopy-and-paste the text below in your GitHub issue and FILL OUT the two last points.\n'				)
          print(self.format_dict(UpperCAmelCase__				)				)

          return info




      @staticmethod
      def      a_   (				lowercase_				)    ->       Tuple:
          return "\n".join([F"- {prop}: {val}" for prop, val in d.items()]				) + "\n"









from collections import OrderedDict
from typing import Mapping

from packaging import version

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


_lowerCamelCase      :						Optional[Any]							=  logging.get_logger(__name__)

_lowerCamelCase      :						Union[str, Any]							=  {
    """google/mobilenet_v1_1.0_224""": """https://huggingface.co/google/mobilenet_v1_1.0_224/resolve/main/config.json""",
    """google/mobilenet_v1_0.75_192""": """https://huggingface.co/google/mobilenet_v1_0.75_192/resolve/main/config.json""",
    # See all MobileNetV1 models at https://huggingface.co/models?filter=mobilenet_v1
}


class 							UpperCamelCase_       (					UpperCAmelCase__	):

    '''simple docstring'''






    UpperCAmelCase__				    = '''mobilenet_v1'''


    def __init__(     self :      Optional[int]   ,					UpperCAmelCase__ :      Optional[int]=3   ,					UpperCAmelCase__ :      Optional[Any]=224   ,					UpperCAmelCase__ :      Optional[int]=1.0   ,					UpperCAmelCase__ :      Optional[int]=8   ,					UpperCAmelCase__ :      Tuple="relu6"   ,					UpperCAmelCase__ :      List[Any]=True   ,					UpperCAmelCase__ :      Dict=0.999   ,					UpperCAmelCase__ :      str=0.02   ,					UpperCAmelCase__ :      Optional[int]=0.001   ,					**UpperCAmelCase__ :      Dict   ,					)		->List[str]:





           '''simple docstring'''

           super().__init__(**UpperCAmelCase__)

           if depth_multiplier <= 0:
                  raise ValueError('''depth_multiplier must be greater than zero.''')

           A__ 					=       num_channels
           A__ 					=       image_size
           A__ 					=       depth_multiplier
           A__ 					=       min_depth
           A__ 					=       hidden_act
           A__ 					=       tf_padding
           A__ 					=       classifier_dropout_prob
           A__ 					=       initializer_range
           A__ 					=       layer_norm_eps


class 							UpperCamelCase_       (					UpperCAmelCase__	):

    '''simple docstring'''






    UpperCAmelCase__				    = version.parse('''1.11'''	)


    @property
    def 			SCREAMING_SNAKE_CASE				(     self :      Any)		->Mapping[str, Mapping[int, str]]:





           '''simple docstring'''

           return OrderedDict([('''pixel_values''', {0: '''batch'''})])


    @property
    def 			SCREAMING_SNAKE_CASE				(     self :      List[str])		->Mapping[str, Mapping[int, str]]:





           '''simple docstring'''

           if self.task == "image-classification":
                  return OrderedDict([('''logits''', {0: '''batch'''})])
           else:
                  return OrderedDict([('''last_hidden_state''', {0: '''batch'''}), ('''pooler_output''', {0: '''batch'''})])





    @property
    def 			SCREAMING_SNAKE_CASE				(     self :      int)		->float:





           '''simple docstring'''

           return 1e-4


