from collections import OrderedDict
from typing import Mapping

from packaging import version

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


UpperCamelCase__    							= logging.get_logger(__name__)

UpperCamelCase__    							= {
    'facebook/data2vec-vision-base-ft': (
        'https://huggingface.co/facebook/data2vec-vision-base-ft/resolve/main/config.json'
    ),
}





class 					A							(    UpperCAmelCase_					):
   __UpperCAmelCase			:			str              =      'data2vec-vision'


   def __init__(self					:						List[str]	,  __UpperCAmelCase					:						List[str]=7_6_8	,  __UpperCAmelCase					:						Optional[int]=1_2	,  __UpperCAmelCase					:						Optional[Any]=1_2	,  __UpperCAmelCase					:						List[Any]=3_0_7_2	,  __UpperCAmelCase					:						str="gelu"	,  __UpperCAmelCase					:						Tuple=0.0	,  __UpperCAmelCase					:						List[Any]=0.0	,  __UpperCAmelCase					:						List[Any]=0.02	,  __UpperCAmelCase					:						Optional[int]=1E-12	,  __UpperCAmelCase					:						Tuple=2_2_4	,  __UpperCAmelCase					:						str=1_6	,  __UpperCAmelCase					:						Union[str, Any]=3	,  __UpperCAmelCase					:						Tuple=False	,  __UpperCAmelCase					:						Optional[int]=False	,  __UpperCAmelCase					:						List[str]=False	,  __UpperCAmelCase					:						Optional[int]=False	,  __UpperCAmelCase					:						List[Any]=0.1	,  __UpperCAmelCase					:						List[Any]=0.1	,  __UpperCAmelCase					:						Any=True	,  __UpperCAmelCase					:						str=[3, 5, 7, 1_1]	,  __UpperCAmelCase					:						List[str]=[1, 2, 3, 6]	,  __UpperCAmelCase					:						Tuple=True	,  __UpperCAmelCase					:						Optional[Any]=0.4	,  __UpperCAmelCase					:						List[str]=2_5_6	,  __UpperCAmelCase					:						Union[str, Any]=1	,  __UpperCAmelCase					:						str=False	,  __UpperCAmelCase					:						List[Any]=2_5_5	,  **__UpperCAmelCase					:						Optional[Any]	,  )						->    List[str]:
         """simple docstring"""



         super().__init__(**__UpperCAmelCase		)

         UpperCAmelCase__								=  hidden_size
         UpperCAmelCase__								=  num_hidden_layers
         UpperCAmelCase__								=  num_attention_heads
         UpperCAmelCase__								=  intermediate_size
         UpperCAmelCase__								=  hidden_act
         UpperCAmelCase__								=  hidden_dropout_prob
         UpperCAmelCase__								=  attention_probs_dropout_prob
         UpperCAmelCase__								=  initializer_range
         UpperCAmelCase__								=  layer_norm_eps

         UpperCAmelCase__								=  image_size
         UpperCAmelCase__								=  patch_size
         UpperCAmelCase__								=  num_channels
         UpperCAmelCase__								=  use_mask_token
         UpperCAmelCase__								=  use_absolute_position_embeddings
         UpperCAmelCase__								=  use_relative_position_bias
         UpperCAmelCase__								=  use_shared_relative_position_bias
         UpperCAmelCase__								=  layer_scale_init_value
         UpperCAmelCase__								=  drop_path_rate
         UpperCAmelCase__								=  use_mean_pooling
         # decode head attributes (semantic segmentation)
         UpperCAmelCase__								=  out_indices
         UpperCAmelCase__								=  pool_scales
         # auxiliary head attributes (semantic segmentation)
         UpperCAmelCase__								=  use_auxiliary_head
         UpperCAmelCase__								=  auxiliary_loss_weight
         UpperCAmelCase__								=  auxiliary_channels
         UpperCAmelCase__								=  auxiliary_num_convs
         UpperCAmelCase__								=  auxiliary_concat_input
         UpperCAmelCase__								=  semantic_loss_ignore_index





class 					A							(    UpperCAmelCase_					):
   __UpperCAmelCase			:			Optional[int]              =      version.parse('1.11'					)


   @property
   def       lowercase_				(self					:						Tuple		)						->    Mapping[str, Mapping[int, str]]:
         """simple docstring"""



         return OrderedDict(
             [
                 ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
             ]		)





   @property
   def       lowercase_				(self					:						Optional[Any]		)						->    float:
         """simple docstring"""



         return 1E-4




from typing import Callable, Optional, Union

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


UpperCamelCase__    							= logging.get_logger(__name__)

UpperCamelCase__    							= {
    'microsoft/xprophetnet-large-wiki100-cased': (
        'https://huggingface.co/microsoft/xprophetnet-large-wiki100-cased/resolve/main/config.json'
    ),
}





class 					A							(    UpperCAmelCase_					):
   __UpperCAmelCase			:			Optional[int]              =      'xlm-prophetnet'
   __UpperCAmelCase			:			int              =      ['past_key_values']
   __UpperCAmelCase			:			Optional[int]              =      {
       'num_attention_heads': 'num_encoder_attention_heads',
   }


   def __init__(self					:						str	,  __UpperCAmelCase					:						Optional[float] = 0.1	,  __UpperCAmelCase					:						Optional[Union[str, Callable]] = "gelu"	,  __UpperCAmelCase					:						Optional[int] = 3_0_5_2_2	,  __UpperCAmelCase					:						Optional[int] = 1_0_2_4	,  __UpperCAmelCase					:						Optional[int] = 4_0_9_6	,  __UpperCAmelCase					:						Optional[int] = 1_2	,  __UpperCAmelCase					:						Optional[int] = 1_6	,  __UpperCAmelCase					:						Optional[int] = 4_0_9_6	,  __UpperCAmelCase					:						Optional[int] = 1_2	,  __UpperCAmelCase					:						Optional[int] = 1_6	,  __UpperCAmelCase					:						Optional[float] = 0.1	,  __UpperCAmelCase					:						Optional[float] = 0.1	,  __UpperCAmelCase					:						Optional[int] = 5_1_2	,  __UpperCAmelCase					:						Optional[float] = 0.02	,  __UpperCAmelCase					:						Optional[bool] = True	,  __UpperCAmelCase					:						Optional[bool] = True	,  __UpperCAmelCase					:						Optional[int] = 0	,  __UpperCAmelCase					:						Optional[int] = 2	,  __UpperCAmelCase					:						Optional[int] = 3_2	,  __UpperCAmelCase					:						Optional[int] = 1_2_8	,  __UpperCAmelCase					:						Optional[bool] = False	,  __UpperCAmelCase					:						Optional[float] = 0.0	,  __UpperCAmelCase					:						Optional[bool] = True	,  __UpperCAmelCase					:						Optional[int] = 0	,  __UpperCAmelCase					:						Optional[int] = 1	,  __UpperCAmelCase					:						Optional[int] = 2	,  **__UpperCAmelCase					:						Optional[Any]	,  )						->    List[str]:
         """simple docstring"""



         UpperCAmelCase__								=  vocab_size
         UpperCAmelCase__								=  hidden_size
         UpperCAmelCase__								=  encoder_ffn_dim
         UpperCAmelCase__								=  num_encoder_layers
         UpperCAmelCase__								=  num_encoder_attention_heads
         UpperCAmelCase__								=  decoder_ffn_dim
         UpperCAmelCase__								=  num_decoder_layers
         UpperCAmelCase__								=  num_decoder_attention_heads
         UpperCAmelCase__								=  max_position_embeddings
         UpperCAmelCase__								=  init_std  # Normal(0, this parameter)
         UpperCAmelCase__								=  activation_function

         # parameters for xlmprophetnet
         UpperCAmelCase__								=  ngram
         UpperCAmelCase__								=  num_buckets
         UpperCAmelCase__								=  relative_max_distance
         UpperCAmelCase__								=  disable_ngram_loss
         UpperCAmelCase__								=  eps

         # 3 Types of Dropout
         UpperCAmelCase__								=  attention_dropout
         UpperCAmelCase__								=  activation_dropout
         UpperCAmelCase__								=  dropout

         UpperCAmelCase__								=  use_cache

         super().__init__(
             pad_token_id=__UpperCAmelCase	,  bos_token_id=__UpperCAmelCase	,  eos_token_id=__UpperCAmelCase	,  is_encoder_decoder=__UpperCAmelCase	,  add_cross_attention=__UpperCAmelCase	,  decoder_start_token_id=__UpperCAmelCase	,  **__UpperCAmelCase	,  )


   @property
   def       lowercase_				(self					:						int		)						->    int:
         """simple docstring"""



         return self.num_encoder_layers + self.num_decoder_layers





   @num_hidden_layers.setter
   def       lowercase_				(self					:						Any	,  __UpperCAmelCase					:						List[Any]		)						->    Union[str, Any]:
         """simple docstring"""



         raise NotImplementedError(
             "This model does not support the setting of `num_hidden_layers`. Please set `num_encoder_layers` and"
             " `num_decoder_layers`."		)



