


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


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

SCREAMING_SNAKE_CASE						:Optional[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      __lowerCAmelCase  (			__snake_case       ):






  """simple docstring"""





  _SCREAMING_SNAKE_CASE		     =							'mobilenet_v1'



  def __init__(  self							:							Union[str, Any]     ,					_lowerCAmelCase							:							List[Any]=3     ,					_lowerCAmelCase							:							Union[str, Any]=2_2_4     ,					_lowerCAmelCase							:							str=1.0     ,					_lowerCAmelCase							:							Dict=8     ,					_lowerCAmelCase							:							List[Any]="relu6"     ,					_lowerCAmelCase							:							List[str]=True     ,					_lowerCAmelCase							:							Optional[Any]=0.999     ,					_lowerCAmelCase							:							Optional[Any]=0.02     ,					_lowerCAmelCase							:							List[Any]=0.001     ,					**_lowerCAmelCase							:							List[Any]     ,					) ->			Any:




     """simple docstring"""
     super().__init__(**__UpperCamelCase	)

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

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






class      __lowerCAmelCase  (			__snake_case       ):






  """simple docstring"""





  _SCREAMING_SNAKE_CASE		     =							version.parse('1.11'       )



  @property
  def        lowerCAmelCase__	(  self							:							Dict	) ->			Union[str, Any]:




     """simple docstring"""
     return OrderedDict([("pixel_values", {0: "batch"})]	)



  @property
  def        lowerCAmelCase__	(  self							:							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        lowerCAmelCase__	(  self							:							List[Any]	) ->			Tuple:




     """simple docstring"""
     return 1e-4







import unittest

from accelerate import debug_launcher
from accelerate.test_utils import require_cpu, test_ops, test_script


@require_cpu
class SCREAMING_SNAKE_CASE	(		unittest.TestCase				):






			"""simple docstring"""




			def       __lowerCAmelCase			(     self				):

				"""simple docstring"""


				debug_launcher(test_script.main				)







			def       __lowerCAmelCase			(     self				):

				"""simple docstring"""


				debug_launcher(test_ops.main				)
