





"""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


_snake_case     :		str       						= logging.get_logger(__name__)

_snake_case     :		Optional[int]       						= {
    'hustvl/yolos-small': 'https://huggingface.co/hustvl/yolos-small/resolve/main/config.json',
    # See all YOLOS models at https://huggingface.co/models?filter=yolos
}






class 					_UpperCAmelCase   (	a__ ):
					UpperCamelCase      =							'''yolos'''


					def __init__(					self			:List[Any]     ,       __UpperCamelCase			:Dict=7_68     ,       __UpperCamelCase			:Dict=12     ,       __UpperCamelCase			:int=12     ,       __UpperCamelCase			:Optional[int]=30_72     ,       __UpperCamelCase			:str="gelu"     ,       __UpperCamelCase			:Tuple=0.0     ,       __UpperCamelCase			:Any=0.0     ,       __UpperCamelCase			:Dict=0.02     ,       __UpperCamelCase			:str=1e-12     ,       __UpperCamelCase			:Union[str, Any]=[5_12, 8_64]     ,       __UpperCamelCase			:Dict=16     ,       __UpperCamelCase			:Union[str, Any]=3     ,       __UpperCamelCase			:Optional[Any]=True     ,       __UpperCamelCase			:str=1_00     ,       __UpperCamelCase			:str=True     ,       __UpperCamelCase			:Tuple=False     ,       __UpperCamelCase			:Optional[int]=1     ,       __UpperCamelCase			:List[Any]=5     ,       __UpperCamelCase			:Dict=2     ,       __UpperCamelCase			:Dict=5     ,       __UpperCamelCase			:List[str]=2     ,       __UpperCamelCase			:Optional[int]=0.1     ,       **__UpperCamelCase			:Optional[Any]     ,       ):
												super().__init__(**SCREAMING_SNAKE_CASE__		)

												A		=  hidden_size
												A		=  num_hidden_layers
												A		=  num_attention_heads
												A		=  intermediate_size
												A		=  hidden_act
												A		=  hidden_dropout_prob
												A		=  attention_probs_dropout_prob
												A		=  initializer_range
												A		=  layer_norm_eps
												A		=  image_size
												A		=  patch_size
												A		=  num_channels
												A		=  qkv_bias
												A		=  num_detection_tokens
												A		=  use_mid_position_embeddings
												A		=  auxiliary_loss
												# Hungarian matcher
												A		=  class_cost
												A		=  bbox_cost
												A		=  giou_cost
												# Loss coefficients
												A		=  bbox_loss_coefficient
												A		=  giou_loss_coefficient
												A		=  eos_coefficient







class 					_UpperCAmelCase   (	a__ ):
					UpperCamelCase      =							version.parse('''1.11''' )


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


					@property
					def 	lowerCamelCase       (					self			:List[Any]		):
												return 1e-4


					@property
					def 	lowerCamelCase       (					self			:Optional[Any]		):
												return 12




"""simple docstring"""




UpperCAmelCase__      :    Any    							= '\n# Transformers installation\n! pip install transformers datasets\n# To install from source instead of the last release, comment the command above and uncomment the following one.\n# ! pip install git+https://github.com/huggingface/transformers.git\n'

UpperCAmelCase__      :    Any    							= [{'type': 'code', 'content': INSTALL_CONTENT}]
UpperCAmelCase__      :    Optional[int]    							= {
    '{processor_class}': 'FakeProcessorClass',
    '{model_class}': 'FakeModelClass',
    '{object_class}': 'FakeObjectClass',
}




