




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__			:       Dict         =							logging.get_logger(__name__)

lowerCamelCase__			:       str         =							{
    '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 	lowerCamelCase_							(				_SCREAMING_SNAKE_CASE ):


 '''simple docstring'''







 lowercase_       =   "yolos"



 def __init__(							self  :		List[str]    ,    _lowerCAmelCase  :		List[Any]=768    ,    _lowerCAmelCase  :		Union[str, Any]=12    ,    _lowerCAmelCase  :		Tuple=12    ,    _lowerCAmelCase  :		Optional[int]=3_072    ,    _lowerCAmelCase  :		int="gelu"    ,    _lowerCAmelCase  :		List[Any]=0.0    ,    _lowerCAmelCase  :		List[str]=0.0    ,    _lowerCAmelCase  :		Any=0.02    ,    _lowerCAmelCase  :		List[Any]=1E-12    ,    _lowerCAmelCase  :		Any=[512, 864]    ,    _lowerCAmelCase  :		Union[str, Any]=16    ,    _lowerCAmelCase  :		List[str]=3    ,    _lowerCAmelCase  :		Dict=True    ,    _lowerCAmelCase  :		Any=100    ,    _lowerCAmelCase  :		Dict=True    ,    _lowerCAmelCase  :		Tuple=False    ,    _lowerCAmelCase  :		Union[str, Any]=1    ,    _lowerCAmelCase  :		Any=5    ,    _lowerCAmelCase  :		Any=2    ,    _lowerCAmelCase  :		List[Any]=5    ,    _lowerCAmelCase  :		Union[str, Any]=2    ,    _lowerCAmelCase  :		List[Any]=0.1    ,    **_lowerCAmelCase  :		Union[str, Any]    ,    ):
       super().__init__(**_lowerCAmelCase						)

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





class 	lowerCamelCase_							(				_SCREAMING_SNAKE_CASE ):


 '''simple docstring'''







 lowercase_       =   version.parse("1.11" )



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



 @property
 def 				lowerCAmelCase_  (							self  :		Union[str, Any]						):
       return 1E-4




 @property
 def 				lowerCAmelCase_  (							self  :		int						):
       return 12











import warnings

from ...utils import logging
from .image_processing_layoutlmva import LayoutLMvaImageProcessor


lowerCamelCase__			:       Dict         =							logging.get_logger(__name__)





class 	lowerCamelCase_							(				_SCREAMING_SNAKE_CASE ):


 '''simple docstring'''







 def __init__(							self  :		List[Any]    ,    *_lowerCAmelCase  :		List[str]    ,    **_lowerCAmelCase  :		Optional[int]						):
       warnings.warn(
           'The class LayoutLMv2FeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
           ' Please use LayoutLMv2ImageProcessor instead.'    ,    _lowerCAmelCase    ,    )
       super().__init__(*_lowerCAmelCase    ,    **_lowerCAmelCase						)