




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


_lowerCamelCase      			=						logging.get_logger(__name__)

_lowerCamelCase      			=						{
    """vinvino02/glpn-kitti""": """https://huggingface.co/vinvino02/glpn-kitti/resolve/main/config.json""",
    # See all GLPN models at https://huggingface.co/models?filter=glpn
}



class       a					(       _A      ):

					'''simple docstring'''





					lowerCAmelCase    :	Dict       		=  'glpn'
					def __init__(     self       :      Optional[int] ,   __snake_case       :      Dict=3 ,   __snake_case       :      Dict=4 ,   __snake_case       :      str=[2, 2, 2, 2] ,   __snake_case       :      Optional[Any]=[8, 4, 2, 1] ,   __snake_case       :      List[Any]=[32, 64, 1_60, 2_56] ,   __snake_case       :      List[str]=[7, 3, 3, 3] ,   __snake_case       :      Dict=[4, 2, 2, 2] ,   __snake_case       :      Union[str, Any]=[1, 2, 5, 8] ,   __snake_case       :      str=[4, 4, 4, 4] ,   __snake_case       :      Union[str, Any]="gelu" ,   __snake_case       :      Dict=0.0 ,   __snake_case       :      Optional[Any]=0.0 ,   __snake_case       :      str=0.02 ,   __snake_case       :      int=0.1 ,   __snake_case       :      Dict=1E-6 ,   __snake_case       :      Optional[Any]=64 ,   __snake_case       :      Optional[Any]=10 ,   __snake_case       :      Union[str, Any]=-1 ,   **__snake_case       :      List[str] ,   ):
									super().__init__(**__lowerCAmelCase    )

									UpperCAmelCase_										=					num_channels
									UpperCAmelCase_										=					num_encoder_blocks
									UpperCAmelCase_										=					depths
									UpperCAmelCase_										=					sr_ratios
									UpperCAmelCase_										=					hidden_sizes
									UpperCAmelCase_										=					patch_sizes
									UpperCAmelCase_										=					strides
									UpperCAmelCase_										=					mlp_ratios
									UpperCAmelCase_										=					num_attention_heads
									UpperCAmelCase_										=					hidden_act
									UpperCAmelCase_										=					hidden_dropout_prob
									UpperCAmelCase_										=					attention_probs_dropout_prob
									UpperCAmelCase_										=					initializer_range
									UpperCAmelCase_										=					drop_path_rate
									UpperCAmelCase_										=					layer_norm_eps
									UpperCAmelCase_										=					decoder_hidden_size
									UpperCAmelCase_										=					max_depth
									UpperCAmelCase_										=					head_in_index











from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_lowerCamelCase      			=						logging.get_logger(__name__)

_lowerCamelCase      			=						{
    'facebook/data2vec-text-base': 'https://huggingface.co/data2vec/resolve/main/config.json',
}



class       a					(       _A      ):

     '''simple docstring'''





     lowerCAmelCase    :	Optional[Any]       		=  'data2vec-text'
     def __init__(     self       :      Optional[Any] ,   __snake_case       :      Optional[int]=3_05_22 ,   __snake_case       :      List[str]=7_68 ,   __snake_case       :      Tuple=12 ,   __snake_case       :      int=12 ,   __snake_case       :      Union[str, Any]=30_72 ,   __snake_case       :      List[Any]="gelu" ,   __snake_case       :      Any=0.1 ,   __snake_case       :      Union[str, Any]=0.1 ,   __snake_case       :      Tuple=5_12 ,   __snake_case       :      str=2 ,   __snake_case       :      str=0.02 ,   __snake_case       :      List[Any]=1E-12 ,   __snake_case       :      Any=1 ,   __snake_case       :      List[Any]=0 ,   __snake_case       :      Dict=2 ,   __snake_case       :      Any="absolute" ,   __snake_case       :      Union[str, Any]=True ,   __snake_case       :      Any=None ,   **__snake_case       :      List[Any] ,   ):
         super().__init__(pad_token_id=__snake_case ,   bos_token_id=__snake_case ,   eos_token_id=__snake_case ,   **__snake_case    )

         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_										=					use_cache
         UpperCAmelCase_										=					classifier_dropout



class       a					(       _A      ):

     '''simple docstring'''





     @property
     def   lowerCamelCase_       (     self       :      str    ):
         if self.task == "multiple-choice":
             UpperCAmelCase_										=					{0: '''batch''', 1: '''choice''', 2: '''sequence'''}
         else:
             UpperCAmelCase_										=					{0: '''batch''', 1: '''sequence'''}
         return OrderedDict(
             [
                 ('''input_ids''', dynamic_axis),
                 ('''attention_mask''', dynamic_axis),
             ]    )





