



'''simple docstring'''





from collections import OrderedDict
from typing import Mapping

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


lowercase_	 =						logging.get_logger(__name__)

lowercase_	 =						{
    "YituTech/conv-bert-base": "https://huggingface.co/YituTech/conv-bert-base/resolve/main/config.json",
    "YituTech/conv-bert-medium-small": (
        "https://huggingface.co/YituTech/conv-bert-medium-small/resolve/main/config.json"
    ),
    "YituTech/conv-bert-small": "https://huggingface.co/YituTech/conv-bert-small/resolve/main/config.json",
    # See all ConvBERT models at https://huggingface.co/models?filter=convbert
}






class __A    (						A		):



 '''simple docstring'''







 __lowerCamelCase					: Optional[int]    = 'convbert'



 def __init__(self				,     A=30_522				,     A=768				,     A=12				,     A=12				,     A=3_072				,     A="gelu"				,     A=0.1				,     A=0.1				,     A=512				,     A=2				,     A=0.02				,     A=1E-12				,     A=1				,     A=0				,     A=2				,     A=768				,     A=2				,     A=9				,     A=1				,     A=None				,     **A				,     )					->  List[Any]:


      """simple docstring"""



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

      _a											=						vocab_size
      _a											=						hidden_size
      _a											=						num_hidden_layers
      _a											=						num_attention_heads
      _a											=						intermediate_size
      _a											=						hidden_act
      _a											=						hidden_dropout_prob
      _a											=						attention_probs_dropout_prob
      _a											=						max_position_embeddings
      _a											=						type_vocab_size
      _a											=						initializer_range
      _a											=						layer_norm_eps
      _a											=						embedding_size
      _a											=						head_ratio
      _a											=						conv_kernel_size
      _a											=						num_groups
      _a											=						classifier_dropout






class __A    (						A		):



 '''simple docstring'''







 @property
 def       a__						(self )					->  Mapping[str, Mapping[int, str]]:


      """simple docstring"""



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








'''simple docstring'''





# This is the module that test_patching.py uses to test patch_submodule()

import os  # noqa: this is just for tests
import os as renamed_os  # noqa: this is just for tests
from os import path  # noqa: this is just for tests
from os import path as renamed_path  # noqa: this is just for tests
from os.path import join  # noqa: this is just for tests
from os.path import join as renamed_join  # noqa: this is just for tests


lowercase_	 =						open  # noqa: we just need to have a builtin inside this module to test it properly



