





'''simple docstring'''

import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import CONFIG_MAPPING


__lowerCamelCase : List[str]											=			logging.get_logger(__name__)

class       UpperCAmelCase (						_lowercase  ):
		UpperCAmelCase					:	List[Any] 			=		'''upernet'''




		def __init__(self      :	int							,			A__      :	Dict=None							,			A__      :	List[str]=5_1_2							,			A__      :	Tuple=0.0_2							,			A__      :	Optional[Any]=[1, 2, 3, 6]							,			A__      :	int=True							,			A__      :	Union[str, Any]=0.4							,			A__      :	str=3_8_4							,			A__      :	Union[str, Any]=2_5_6							,			A__      :	List[str]=1							,			A__      :	Union[str, Any]=False							,			A__      :	int=2_5_5							,			**A__      :	Dict							,			)					-> Optional[int]:
						super().__init__(**A__				)

						if backbone_config is None:
										logger.info("`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone."				)
										lowercase         = CONFIG_MAPPING["resnet"](out_features=["stage1", "stage2", "stage3", "stage4"]				)
						elif isinstance(A__							,			A__				):
										lowercase         = backbone_config.get("model_type"				)
										lowercase         = CONFIG_MAPPING[backbone_model_type]
										lowercase         = config_class.from_dict(A__				)

						lowercase         = backbone_config
						lowercase         = hidden_size
						lowercase         = initializer_range
						lowercase         = pool_scales
						lowercase         = use_auxiliary_head
						lowercase         = auxiliary_loss_weight
						lowercase         = auxiliary_in_channels
						lowercase         = auxiliary_channels
						lowercase         = auxiliary_num_convs
						lowercase         = auxiliary_concat_input
						lowercase         = loss_ignore_index





		def 				UpperCAmelCase__   (self      :	Optional[int]				)					-> Dict:
						lowercase         = copy.deepcopy(self.__dict__				)
						lowercase         = self.backbone_config.to_dict()
						lowercase         = self.__class__.model_type
						return output











'''simple docstring'''

from collections import OrderedDict
from typing import Mapping

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


__lowerCamelCase : List[str]											=			logging.get_logger(__name__)

__lowerCamelCase : str											=			{
    "facebook/data2vec-text-base": "https://huggingface.co/data2vec/resolve/main/config.json",
}

class       UpperCAmelCase (						_lowercase  ):
		UpperCAmelCase					:	List[str] 			=		'''data2vec-text'''




		def __init__(self      :	List[str]							,			A__      :	str=3_0_5_2_2							,			A__      :	Tuple=7_6_8							,			A__      :	Any=1_2							,			A__      :	Optional[int]=1_2							,			A__      :	str=3_0_7_2							,			A__      :	List[str]="gelu"							,			A__      :	List[Any]=0.1							,			A__      :	Optional[int]=0.1							,			A__      :	Union[str, Any]=5_1_2							,			A__      :	Any=2							,			A__      :	str=0.0_2							,			A__      :	int=1e-12							,			A__      :	Union[str, Any]=1							,			A__      :	Optional[int]=0							,			A__      :	Union[str, Any]=2							,			A__      :	Optional[int]="absolute"							,			A__      :	Tuple=True							,			A__      :	int=None							,			**A__      :	Any							,			)					-> Any:
						super().__init__(pad_token_id=A__							,			bos_token_id=A__							,			eos_token_id=A__							,			**A__				)

						lowercase         = vocab_size
						lowercase         = hidden_size
						lowercase         = num_hidden_layers
						lowercase         = num_attention_heads
						lowercase         = hidden_act
						lowercase         = intermediate_size
						lowercase         = hidden_dropout_prob
						lowercase         = attention_probs_dropout_prob
						lowercase         = max_position_embeddings
						lowercase         = type_vocab_size
						lowercase         = initializer_range
						lowercase         = layer_norm_eps
						lowercase         = position_embedding_type
						lowercase         = use_cache
						lowercase         = classifier_dropout




class       UpperCAmelCase (						_lowercase  ):




		@property
		def 				UpperCAmelCase__   (self      :	List[str]				)					-> Mapping[str, Mapping[int, str]]:
						if self.task == "multiple-choice":
										lowercase         = {0: "batch", 1: "choice", 2: "sequence"}
						else:
										lowercase         = {0: "batch", 1: "sequence"}
						return OrderedDict(
						    [
						        ("input_ids", dynamic_axis),
						        ("attention_mask", dynamic_axis),
						    ]				)




