

from collections import OrderedDict
from typing import Mapping

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


a_    :						Any    		=      logging.get_logger(__name__)

a_    :						Tuple    		=      {
    "facebook/xmod-base": "https://huggingface.co/facebook/xmod-base/resolve/main/config.json",
    "facebook/xmod-large-prenorm": "https://huggingface.co/facebook/xmod-large-prenorm/resolve/main/config.json",
    "facebook/xmod-base-13-125k": "https://huggingface.co/facebook/xmod-base-13-125k/resolve/main/config.json",
    "facebook/xmod-base-30-125k": "https://huggingface.co/facebook/xmod-base-30-125k/resolve/main/config.json",
    "facebook/xmod-base-30-195k": "https://huggingface.co/facebook/xmod-base-30-195k/resolve/main/config.json",
    "facebook/xmod-base-60-125k": "https://huggingface.co/facebook/xmod-base-60-125k/resolve/main/config.json",
    "facebook/xmod-base-60-265k": "https://huggingface.co/facebook/xmod-base-60-265k/resolve/main/config.json",
    "facebook/xmod-base-75-125k": "https://huggingface.co/facebook/xmod-base-75-125k/resolve/main/config.json",
    "facebook/xmod-base-75-269k": "https://huggingface.co/facebook/xmod-base-75-269k/resolve/main/config.json",
}




class      UpperCamelCase (     UpperCamelCase__   ):
				__UpperCamelCase         ="xmod"

				def __init__(			self :      Optional[Any]							,    snake_case__ :      Optional[int]=3_0_5_2_2							,    snake_case__ :      int=7_6_8							,    snake_case__ :      str=1_2							,    snake_case__ :      Dict=1_2							,    snake_case__ :      List[str]=3_0_7_2							,    snake_case__ :      List[str]="gelu"							,    snake_case__ :      Optional[int]=0.1							,    snake_case__ :      Optional[Any]=0.1							,    snake_case__ :      Any=5_1_2							,    snake_case__ :      int=2							,    snake_case__ :      str=0.02							,    snake_case__ :      Optional[int]=1E-12							,    snake_case__ :      int=1							,    snake_case__ :      Any=0							,    snake_case__ :      List[Any]=2							,    snake_case__ :      Union[str, Any]="absolute"							,    snake_case__ :      List[Any]=True							,    snake_case__ :      int=None							,    snake_case__ :      Optional[Any]=False							,    snake_case__ :      List[str]=2							,    snake_case__ :      Tuple=False							,    snake_case__ :      int=True							,    snake_case__ :      Optional[Any]=True							,    snake_case__ :      int=("en_XX",)							,    snake_case__ :      Dict=None							,    **snake_case__ :      Any							,    ):

					"""simple docstring"""






					super().__init__(pad_token_id=_a							,    bos_token_id=_a							,    eos_token_id=_a							,    **_a    )

					SCREAMING_SNAKE_CASE								=			vocab_size
					SCREAMING_SNAKE_CASE								=			hidden_size
					SCREAMING_SNAKE_CASE								=			num_hidden_layers
					SCREAMING_SNAKE_CASE								=			num_attention_heads
					SCREAMING_SNAKE_CASE								=			hidden_act
					SCREAMING_SNAKE_CASE								=			intermediate_size
					SCREAMING_SNAKE_CASE								=			hidden_dropout_prob
					SCREAMING_SNAKE_CASE								=			attention_probs_dropout_prob
					SCREAMING_SNAKE_CASE								=			max_position_embeddings
					SCREAMING_SNAKE_CASE								=			type_vocab_size
					SCREAMING_SNAKE_CASE								=			initializer_range
					SCREAMING_SNAKE_CASE								=			layer_norm_eps
					SCREAMING_SNAKE_CASE								=			position_embedding_type
					SCREAMING_SNAKE_CASE								=			use_cache
					SCREAMING_SNAKE_CASE								=			classifier_dropout
					SCREAMING_SNAKE_CASE								=			pre_norm
					SCREAMING_SNAKE_CASE								=			adapter_reduction_factor
					SCREAMING_SNAKE_CASE								=			adapter_layer_norm
					SCREAMING_SNAKE_CASE								=			adapter_reuse_layer_norm
					SCREAMING_SNAKE_CASE								=			ln_before_adapter
					SCREAMING_SNAKE_CASE								=			list(_a    )
					SCREAMING_SNAKE_CASE								=			default_language




class      UpperCamelCase (     UpperCamelCase__   ):

				@property
				def UpperCamelCase			(			self :      Optional[int]    ):

					"""simple docstring"""






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




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


a_    :						Any    		=      logging.get_logger(__name__)

a_    :						Dict    		=      {
    "Visual-Attention-Network/van-base": (
        "https://huggingface.co/Visual-Attention-Network/van-base/blob/main/config.json"
    ),
}




class      UpperCamelCase (     SCREAMING_SNAKE_CASE   ):
    __UpperCamelCase         ="van"

    def __init__(			self :      Optional[Any]							,    snake_case__ :      Tuple=2_2_4							,    snake_case__ :      Dict=3							,    snake_case__ :      Union[str, Any]=[7, 3, 3, 3]							,    snake_case__ :      str=[4, 2, 2, 2]							,    snake_case__ :      Optional[Any]=[6_4, 1_2_8, 3_2_0, 5_1_2]							,    snake_case__ :      Optional[Any]=[3, 3, 1_2, 3]							,    snake_case__ :      Tuple=[8, 8, 4, 4]							,    snake_case__ :      Any="gelu"							,    snake_case__ :      Dict=0.02							,    snake_case__ :      List[str]=1E-6							,    snake_case__ :      int=1E-2							,    snake_case__ :      Any=0.0							,    snake_case__ :      Tuple=0.0							,    **snake_case__ :      Any							,    ):

     """simple docstring"""






     super().__init__(**snake_case__    )
     SCREAMING_SNAKE_CASE								=			image_size
     SCREAMING_SNAKE_CASE								=			num_channels
     SCREAMING_SNAKE_CASE								=			patch_sizes
     SCREAMING_SNAKE_CASE								=			strides
     SCREAMING_SNAKE_CASE								=			hidden_sizes
     SCREAMING_SNAKE_CASE								=			depths
     SCREAMING_SNAKE_CASE								=			mlp_ratios
     SCREAMING_SNAKE_CASE								=			hidden_act
     SCREAMING_SNAKE_CASE								=			initializer_range
     SCREAMING_SNAKE_CASE								=			layer_norm_eps
     SCREAMING_SNAKE_CASE								=			layer_scale_init_value
     SCREAMING_SNAKE_CASE								=			drop_path_rate
     SCREAMING_SNAKE_CASE								=			dropout_rate

