





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


UpperCAmelCase_           =	logging.get_logger(__name__)

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




class 			__UpperCamelCase    (							A__    ):
     __A	:  List[Any]							  =   """lilt"""





     def __init__(     self				,							_UpperCamelCase=30522				,							_UpperCamelCase=768				,							_UpperCamelCase=12				,							_UpperCamelCase=12				,							_UpperCamelCase=3072				,							_UpperCamelCase="gelu"				,							_UpperCamelCase=0.1				,							_UpperCamelCase=0.1				,							_UpperCamelCase=512				,							_UpperCamelCase=2				,							_UpperCamelCase=0.02				,							_UpperCamelCase=1e-12				,							_UpperCamelCase=0				,							_UpperCamelCase="absolute"				,							_UpperCamelCase=None				,							_UpperCamelCase=4				,							_UpperCamelCase=1024				,							**_UpperCamelCase				,							):
        super().__init__(pad_token_id=_UpperCamelCase				,							**_UpperCamelCase					)

        _UpperCAmelCase           =   vocab_size
        _UpperCAmelCase           =   hidden_size
        _UpperCAmelCase           =   num_hidden_layers
        _UpperCAmelCase           =   num_attention_heads
        _UpperCAmelCase           =   hidden_act
        _UpperCAmelCase           =   intermediate_size
        _UpperCAmelCase           =   hidden_dropout_prob
        _UpperCAmelCase           =   attention_probs_dropout_prob
        _UpperCAmelCase           =   max_position_embeddings
        _UpperCAmelCase           =   type_vocab_size
        _UpperCAmelCase           =   initializer_range
        _UpperCAmelCase           =   layer_norm_eps
        _UpperCAmelCase           =   position_embedding_type
        _UpperCAmelCase           =   classifier_dropout
        _UpperCAmelCase           =   channel_shrink_ratio
        _UpperCAmelCase           =   max_ad_position_embeddings






import warnings

from ...utils import logging
from .image_processing_glpn import GLPNImageProcessor


UpperCAmelCase_           =	logging.get_logger(__name__)




class 			__UpperCamelCase    (							A__    ):





     def __init__(     self				,							*_UpperCamelCase				,							**_UpperCamelCase					):
        warnings.warn(
            '''The class GLPNFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'''
            ''' use GLPNImageProcessor instead.'''				,							_UpperCamelCase				,							)
        super().__init__(*_UpperCamelCase				,							**_UpperCamelCase					)