


"""simple docstring"""





from collections import OrderedDict
from typing import Mapping

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


snake_case__						:   Optional[int]			 = logging.get_logger(__name__)

snake_case__						:   List[Any]			 = {
    '''facebook/data2vec-text-base''': '''https://huggingface.co/data2vec/resolve/main/config.json''',
}



class 						snake_case_(				a__	):
     __UpperCamelCase     =    '''data2vec-text'''






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

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



class 						snake_case_(				a__	):






     @property
     def    lowerCamelCase__   (		self     :    Any ):
           if self.task == "multiple-choice":
                 lowerCAmelCase    :		List[Any]				=      {0: '''batch''', 1: '''choice''', 2: '''sequence'''}
           else:
                 lowerCAmelCase    :		Optional[int]				=      {0: '''batch''', 1: '''sequence'''}
           return OrderedDict(
               [
                   ('''input_ids''', dynamic_axis),
                   ('''attention_mask''', dynamic_axis),
               ] )






"""simple docstring"""


A     :   int			    =			{
    "Pillow": "Pillow",
    "accelerate": "accelerate>=0.11.0",
    "compel": "compel==0.1.8",
    "black": "black~=23.1",
    "datasets": "datasets",
    "filelock": "filelock",
    "flax": "flax>=0.4.1",
    "hf-doc-builder": "hf-doc-builder>=0.3.0",
    "huggingface-hub": "huggingface-hub>=0.13.2",
    "requests-mock": "requests-mock==1.10.0",
    "importlib_metadata": "importlib_metadata",
    "invisible-watermark": "invisible-watermark",
    "isort": "isort>=5.5.4",
    "jax": "jax>=0.2.8,!=0.3.2",
    "jaxlib": "jaxlib>=0.1.65",
    "Jinja2": "Jinja2",
    "k-diffusion": "k-diffusion>=0.0.12",
    "torchsde": "torchsde",
    "note_seq": "note_seq",
    "librosa": "librosa",
    "numpy": "numpy",
    "omegaconf": "omegaconf",
    "parameterized": "parameterized",
    "protobuf": "protobuf>=3.20.3,<4",
    "pytest": "pytest",
    "pytest-timeout": "pytest-timeout",
    "pytest-xdist": "pytest-xdist",
    "ruff": "ruff>=0.0.241",
    "safetensors": "safetensors",
    "sentencepiece": "sentencepiece>=0.1.91,!=0.1.92",
    "scipy": "scipy",
    "onnx": "onnx",
    "regex": "regex!=2019.12.17",
    "requests": "requests",
    "tensorboard": "tensorboard",
    "torch": "torch>=1.4",
    "torchvision": "torchvision",
    "transformers": "transformers>=4.25.1",
    "urllib3": "urllib3<=2.0.0",
}




