
'''simple docstring'''
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


lowercase__						       =      logging.get_logger(__name__)

lowercase__						       =      {
    "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 	snake_case__       (      __SCREAMING_SNAKE_CASE					):







		"""simple docstring"""

		lowerCamelCase     							=						"""mobilenet_v2"""



		def __init__(      self				:			Optional[int]  ,	UpperCamelCase__				:			Dict=3  ,	UpperCamelCase__				:			Optional[Any]=224  ,	UpperCamelCase__				:			Union[str, Any]=1.0  ,	UpperCamelCase__				:			Optional[Any]=8  ,	UpperCamelCase__				:			List[Any]=8  ,	UpperCamelCase__				:			Union[str, Any]=6  ,	UpperCamelCase__				:			List[str]=32  ,	UpperCamelCase__				:			Tuple=True  ,	UpperCamelCase__				:			int=True  ,	UpperCamelCase__				:			Tuple="relu6"  ,	UpperCamelCase__				:			Optional[Any]=True  ,	UpperCamelCase__				:			Union[str, Any]=0.8  ,	UpperCamelCase__				:			int=0.02  ,	UpperCamelCase__				:			Tuple=0.001  ,	UpperCamelCase__				:			str=255  ,	**UpperCamelCase__				:			Any  ,	)						->			Dict:






				"""simple docstring"""







				super().__init__(**UpperCamelCase__      )

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

				snake_case  :       Dict     			=						num_channels
				snake_case  :       Optional[int]     			=						image_size
				snake_case  :       List[Any]     			=						depth_multiplier
				snake_case  :       Any     			=						depth_divisible_by
				snake_case  :       Tuple     			=						min_depth
				snake_case  :       Union[str, Any]     			=						expand_ratio
				snake_case  :       List[str]     			=						output_stride
				snake_case  :       Tuple     			=						first_layer_is_expansion
				snake_case  :       Optional[int]     			=						finegrained_output
				snake_case  :       List[str]     			=						hidden_act
				snake_case  :       Tuple     			=						tf_padding
				snake_case  :       Dict     			=						classifier_dropout_prob
				snake_case  :       Dict     			=						initializer_range
				snake_case  :       str     			=						layer_norm_eps
				snake_case  :       Dict     			=						semantic_loss_ignore_index







class 	snake_case__       (      __SCREAMING_SNAKE_CASE					):







		"""simple docstring"""

		lowerCamelCase     							=						version.parse("""1.11"""					)



		@property
		def       lowerCAmelCase				(      self				:			Tuple      )						->			Mapping[str, Mapping[int, str]]:






				"""simple docstring"""







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



		@property
		def       lowerCAmelCase				(      self				:			List[Any]      )						->			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       lowerCAmelCase				(      self				:			List[Any]      )						->			float:






				"""simple docstring"""







				return 1e-4




'''simple docstring'''
# Copyright 2023 The HuggingFace Inc. 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 re

from ..utils import cached_file


# docstyle-ignore
lowercase__						       =      "\nHuman: <<task>>\n\nAssistant: "


lowercase__						       =      "huggingface-tools/default-prompts"
lowercase__						       =      {"chat": "chat_prompt_template.txt", "run": "run_prompt_template.txt"}




def    _UpperCamelCase						(       SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__="run"			)  ->							Dict:


		'''simple docstring'''


		if prompt_or_repo_id is None:
				snake_case  :       Union[str, Any]     			=						DEFAULT_PROMPTS_REPO

		# prompt is considered a repo ID when it does not contain any kind of space
		if re.search('''\\s''' ,       SCREAMING_SNAKE_CASE__			) is not None:
				return prompt_or_repo_id

		snake_case  :       List[Any]     			=						cached_file(
		    SCREAMING_SNAKE_CASE__ ,       PROMPT_FILES[mode] ,       repo_type='''dataset''' ,       user_agent={'''agent''': agent_name}			)
		with open(SCREAMING_SNAKE_CASE__ ,       '''r''' ,       encoding='''utf-8'''			) as f:
				return f.read()


