


from collections import OrderedDict
from typing import Mapping

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


__A :  int    							=				logging.get_logger(__name__)

__A :  Dict    							=				{
    "camembert-base": "https://huggingface.co/camembert-base/resolve/main/config.json",
    "umberto-commoncrawl-cased-v1": (
        "https://huggingface.co/Musixmatch/umberto-commoncrawl-cased-v1/resolve/main/config.json"
    ),
    "umberto-wikipedia-uncased-v1": (
        "https://huggingface.co/Musixmatch/umberto-wikipedia-uncased-v1/resolve/main/config.json"
    ),
}






class        __snake_case	(       _SCREAMING_SNAKE_CASE):







    """simple docstring"""



    lowercase       			= 'camembert'

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

      lowerCAmelCase_      :				int      =       vocab_size
      lowerCAmelCase_      :				str      =       hidden_size
      lowerCAmelCase_      :				Union[str, Any]      =       num_hidden_layers
      lowerCAmelCase_      :				List[Any]      =       num_attention_heads
      lowerCAmelCase_      :				Tuple      =       hidden_act
      lowerCAmelCase_      :				List[str]      =       intermediate_size
      lowerCAmelCase_      :				Any      =       hidden_dropout_prob
      lowerCAmelCase_      :				List[Any]      =       attention_probs_dropout_prob
      lowerCAmelCase_      :				List[str]      =       max_position_embeddings
      lowerCAmelCase_      :				List[Any]      =       type_vocab_size
      lowerCAmelCase_      :				Optional[int]      =       initializer_range
      lowerCAmelCase_      :				List[str]      =       layer_norm_eps
      lowerCAmelCase_      :				List[Any]      =       position_embedding_type
      lowerCAmelCase_      :				Any      =       use_cache
      lowerCAmelCase_      :				Dict      =       classifier_dropout







class        __snake_case	(       _SCREAMING_SNAKE_CASE):







    """simple docstring"""



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







'''simple docstring'''






from typing import List

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


__A :  Dict    							=				logging.get_logger(__name__)

__A :  int    							=				{
    "snap-research/efficientformer-l1-300": (
        "https://huggingface.co/snap-research/efficientformer-l1-300/resolve/main/config.json"
    ),
}






class        __snake_case	(       _SCREAMING_SNAKE_CASE):







    """simple docstring"""



    lowercase       			= 'efficientformer'

    def __init__(       self   :  Any   ,						lowerCamelCase   :  List[int] = [3, 2, 6, 4]   ,						lowerCamelCase   :  List[int] = [48, 96, 2_24, 4_48]   ,						lowerCamelCase   :  List[bool] = [True, True, True, True]   ,						lowerCamelCase   :  int = 4_48   ,						lowerCamelCase   :  int = 32   ,						lowerCamelCase   :  int = 4   ,						lowerCamelCase   :  int = 7   ,						lowerCamelCase   :  int = 5   ,						lowerCamelCase   :  int = 8   ,						lowerCamelCase   :  int = 4   ,						lowerCamelCase   :  float = 0.0   ,						lowerCamelCase   :  int = 16   ,						lowerCamelCase   :  int = 3   ,						lowerCamelCase   :  int = 3   ,						lowerCamelCase   :  int = 3   ,						lowerCamelCase   :  int = 2   ,						lowerCamelCase   :  int = 1   ,						lowerCamelCase   :  float = 0.0   ,						lowerCamelCase   :  int = 1   ,						lowerCamelCase   :  bool = True   ,						lowerCamelCase   :  bool = True   ,						lowerCamelCase   :  float = 1E-5   ,						lowerCamelCase   :  str = "gelu"   ,						lowerCamelCase   :  float = 0.02   ,						lowerCamelCase   :  float = 1E-12   ,						lowerCamelCase   :  int = 2_24   ,						lowerCamelCase   :  float = 1E-05   ,						**lowerCamelCase   :  int   ,						)       ->  None:
      super().__init__(**lowerCamelCase		)

      lowerCAmelCase_      :				List[str]      =       hidden_act
      lowerCAmelCase_      :				List[Any]      =       hidden_dropout_prob
      lowerCAmelCase_      :				Any      =       hidden_sizes
      lowerCAmelCase_      :				List[Any]      =       num_hidden_layers
      lowerCAmelCase_      :				Union[str, Any]      =       num_attention_heads
      lowerCAmelCase_      :				Tuple      =       initializer_range
      lowerCAmelCase_      :				Union[str, Any]      =       layer_norm_eps
      lowerCAmelCase_      :				int      =       patch_size
      lowerCAmelCase_      :				List[str]      =       num_channels
      lowerCAmelCase_      :				Dict      =       depths
      lowerCAmelCase_      :				int      =       mlp_expansion_ratio
      lowerCAmelCase_      :				Optional[Any]      =       downsamples
      lowerCAmelCase_      :				Union[str, Any]      =       dim
      lowerCAmelCase_      :				Union[str, Any]      =       key_dim
      lowerCAmelCase_      :				str      =       attention_ratio
      lowerCAmelCase_      :				Tuple      =       resolution
      lowerCAmelCase_      :				Optional[Any]      =       pool_size
      lowerCAmelCase_      :				str      =       downsample_patch_size
      lowerCAmelCase_      :				Dict      =       downsample_stride
      lowerCAmelCase_      :				str      =       downsample_pad
      lowerCAmelCase_      :				str      =       drop_path_rate
      lowerCAmelCase_      :				List[Any]      =       num_metaad_blocks
      lowerCAmelCase_      :				Tuple      =       distillation
      lowerCAmelCase_      :				Optional[Any]      =       use_layer_scale
      lowerCAmelCase_      :				Dict      =       layer_scale_init_value
      lowerCAmelCase_      :				Optional[Any]      =       image_size
      lowerCAmelCase_      :				Optional[Any]      =       batch_norm_eps



