


'''simple docstring'''






from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowercase							=logging.get_logger(__name__)

lowercase							={
    'SCUT-DLVCLab/lilt-roberta-en-base': (
        'https://huggingface.co/SCUT-DLVCLab/lilt-roberta-en-base/resolve/main/config.json'
    ),
}






class  __magic_name__							(		lowerCAmelCase    ):
       UpperCAmelCase										="lilt"






       def __init__(      self  ,							snake_case=3_0_5_2_2  ,							snake_case=7_6_8  ,							snake_case=1_2  ,							snake_case=1_2  ,							snake_case=3_0_7_2  ,							snake_case="gelu"  ,							snake_case=0.1  ,							snake_case=0.1  ,							snake_case=5_1_2  ,							snake_case=2  ,							snake_case=0.02  ,							snake_case=1E-1_2  ,							snake_case=0  ,							snake_case="absolute"  ,							snake_case=None  ,							snake_case=4  ,							snake_case=1_0_2_4  ,							**snake_case  ,							)						->  Union[str, Any]:




          '''simple docstring'''
          super().__init__(pad_token_id=snake_case  ,							**snake_case)

          _UpperCAmelCase       :       Optional[int]							   =vocab_size
          _UpperCAmelCase       :       Dict							   =hidden_size
          _UpperCAmelCase       :       List[str]							   =num_hidden_layers
          _UpperCAmelCase       :       Optional[int]							   =num_attention_heads
          _UpperCAmelCase       :       Union[str, Any]							   =hidden_act
          _UpperCAmelCase       :       Optional[int]							   =intermediate_size
          _UpperCAmelCase       :       Any							   =hidden_dropout_prob
          _UpperCAmelCase       :       int							   =attention_probs_dropout_prob
          _UpperCAmelCase       :       Optional[int]							   =max_position_embeddings
          _UpperCAmelCase       :       List[Any]							   =type_vocab_size
          _UpperCAmelCase       :       Union[str, Any]							   =initializer_range
          _UpperCAmelCase       :       Optional[Any]							   =layer_norm_eps
          _UpperCAmelCase       :       str							   =position_embedding_type
          _UpperCAmelCase       :       Optional[Any]							   =classifier_dropout
          _UpperCAmelCase       :       Dict							   =channel_shrink_ratio
          _UpperCAmelCase       :       int							   =max_ad_position_embeddings



'''simple docstring'''






import warnings

from ...utils import logging
from .image_processing_deformable_detr import DeformableDetrImageProcessor


lowercase							=logging.get_logger(__name__)






class  __magic_name__							(		lowerCAmelCase    ):






       def __init__(      self  ,							*snake_case  ,							**snake_case)						->  None:




          '''simple docstring'''
          warnings.warn(
              'The class DeformableDetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
              ' Please use DeformableDetrImageProcessor instead.'  ,							snake_case  ,							)
          super().__init__(*snake_case  ,							**snake_case)

