
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


__a  			=					logging.get_logger(__name__)

__a  			=					{
    '''google/mobilenet_v2_1.4_224''': '''https://huggingface.co/google/mobilenet_v2_1.4_224/resolve/main/config.json''',
    '''google/mobilenet_v2_1.0_224''': '''https://huggingface.co/google/mobilenet_v2_1.0_224/resolve/main/config.json''',
    '''google/mobilenet_v2_0.75_160''': '''https://huggingface.co/google/mobilenet_v2_0.75_160/resolve/main/config.json''',
    '''google/mobilenet_v2_0.35_96''': '''https://huggingface.co/google/mobilenet_v2_0.35_96/resolve/main/config.json''',
    # See all MobileNetV2 models at https://huggingface.co/models?filter=mobilenet_v2
}
class  lowercase__(				lowerCamelCase_							):



	"""simple docstring"""




	a			:str         =	'''mobilenet_v2'''
	def __init__(       self  :			Optional[Any]       ,							SCREAMING_SNAKE_CASE_  :			List[Any]=3       ,							SCREAMING_SNAKE_CASE_  :			Any=2_2_4       ,							SCREAMING_SNAKE_CASE_  :			Dict=1.0       ,							SCREAMING_SNAKE_CASE_  :			str=8       ,							SCREAMING_SNAKE_CASE_  :			Union[str, Any]=8       ,							SCREAMING_SNAKE_CASE_  :			Optional[Any]=6       ,							SCREAMING_SNAKE_CASE_  :			str=3_2       ,							SCREAMING_SNAKE_CASE_  :			Tuple=True       ,							SCREAMING_SNAKE_CASE_  :			Union[str, Any]=True       ,							SCREAMING_SNAKE_CASE_  :			Any="relu6"       ,							SCREAMING_SNAKE_CASE_  :			List[str]=True       ,							SCREAMING_SNAKE_CASE_  :			Dict=0.8       ,							SCREAMING_SNAKE_CASE_  :			Optional[int]=0.02       ,							SCREAMING_SNAKE_CASE_  :			Tuple=0.0_01       ,							SCREAMING_SNAKE_CASE_  :			Dict=2_5_5       ,							**SCREAMING_SNAKE_CASE_  :			Dict       ,							)       ->     Any:
					super().__init__(**__snake_case       )

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

					lowercase_       =					num_channels
					lowercase_       =					image_size
					lowercase_       =					depth_multiplier
					lowercase_       =					depth_divisible_by
					lowercase_       =					min_depth
					lowercase_       =					expand_ratio
					lowercase_       =					output_stride
					lowercase_       =					first_layer_is_expansion
					lowercase_       =					finegrained_output
					lowercase_       =					hidden_act
					lowercase_       =					tf_padding
					lowercase_       =					classifier_dropout_prob
					lowercase_       =					initializer_range
					lowercase_       =					layer_norm_eps
					lowercase_       =					semantic_loss_ignore_index

class  lowercase__(				lowerCamelCase_							):



	"""simple docstring"""




	a			:Tuple         =	version.parse('1.11'							)
	@property
	def 						_lowercase  (       self  :			Any       )       ->     Mapping[str, Mapping[int, str]]:
					return OrderedDict([('''pixel_values''', {0: '''batch'''})]       )
	@property
	def 						_lowercase  (       self  :			List[str]       )       ->     Mapping[str, Mapping[int, str]]:
					if self.task == "image-classification":
									return OrderedDict([('''logits''', {0: '''batch'''})]       )
					else:
									return OrderedDict([('''last_hidden_state''', {0: '''batch'''}), ('''pooler_output''', {0: '''batch'''})]       )




	@property
	def 						_lowercase  (       self  :			Any       )       ->     float:
					return 1e-4








import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Audio, ClassLabel, Features
from .base import TaskTemplate







@dataclass(frozen=lowerCamelCase_      )
class        snake_case_   (lowerCamelCase_      ):
					UpperCAmelCase__					:    str          =			field(default='''audio-classification'''	,						metadata={'''include_in_asdict_even_if_is_default''': True}      )
					UpperCAmelCase__					:    ClassVar[Features]          =			Features({'''audio''': Audio()}      )
					UpperCAmelCase__					:    ClassVar[Features]          =			Features({'''labels''': ClassLabel}      )
					UpperCAmelCase__					:    str          =			"audio"
					UpperCAmelCase__					:    str          =			"labels"
					def  lowerCamelCase__(      self   :Optional[int]			,__snake_case   :int      )					->    str:
												if self.label_column not in features:
																			raise ValueError(F'Column {self.label_column} is not present in features.'      )
												if not isinstance(features[self.label_column]			,__snake_case      ):
																			raise ValueError(F'Column {self.label_column} is not a ClassLabel.'      )
												a__             =     copy.deepcopy(self      )
												a__             =     self.label_schema.copy()
												a__             =     features[self.label_column]
												a__             =     label_schema
												return task_template



					@property
					def  lowerCamelCase__(      self   :Dict      )					->    Dict[str, str]:
												return {
												    self.audio_column: "audio",
												    self.label_column: "labels",
												}




