

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_     =       {
    'google/electra-small-generator': 'https://huggingface.co/google/electra-small-generator/resolve/main/config.json',
    'google/electra-base-generator': 'https://huggingface.co/google/electra-base-generator/resolve/main/config.json',
    'google/electra-large-generator': 'https://huggingface.co/google/electra-large-generator/resolve/main/config.json',
    'google/electra-small-discriminator': (
        'https://huggingface.co/google/electra-small-discriminator/resolve/main/config.json'
    ),
    'google/electra-base-discriminator': (
        'https://huggingface.co/google/electra-base-discriminator/resolve/main/config.json'
    ),
    'google/electra-large-discriminator': (
        'https://huggingface.co/google/electra-large-discriminator/resolve/main/config.json'
    ),
}





class 			__lowerCAmelCase					( SCREAMING_SNAKE_CASE							):
  _a						      =  """electra"""




  def __init__(    self							,       lowerCAmelCase=30_522							,       lowerCAmelCase=128							,       lowerCAmelCase=256							,       lowerCAmelCase=12							,       lowerCAmelCase=4							,       lowerCAmelCase=1_024							,       lowerCAmelCase="gelu"							,       lowerCAmelCase=0.1							,       lowerCAmelCase=0.1							,       lowerCAmelCase=512							,       lowerCAmelCase=2							,       lowerCAmelCase=0.02							,       lowerCAmelCase=1e-12							,       lowerCAmelCase="first"							,       lowerCAmelCase=True							,       lowerCAmelCase="gelu"							,       lowerCAmelCase=0.1							,       lowerCAmelCase=0							,       lowerCAmelCase="absolute"							,       lowerCAmelCase=True							,       lowerCAmelCase=None							,       **lowerCAmelCase							,       )  ->			int:
        '''simple docstring'''






        super().__init__(pad_token_id=lowerCAmelCase							,       **lowerCAmelCase )

        _lowercase     	=vocab_size
        _lowercase     	=embedding_size
        _lowercase     	=hidden_size
        _lowercase     	=num_hidden_layers
        _lowercase     	=num_attention_heads
        _lowercase     	=intermediate_size
        _lowercase     	=hidden_act
        _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     	=summary_type
        _lowercase     	=summary_use_proj
        _lowercase     	=summary_activation
        _lowercase     	=summary_last_dropout
        _lowercase     	=position_embedding_type
        _lowercase     	=use_cache
        _lowercase     	=classifier_dropout





class 			__lowerCAmelCase					( SCREAMING_SNAKE_CASE							):




  @property
  def   A__					(    self )  ->			Mapping[str, Mapping[int, str]]:
        '''simple docstring'''






        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),
                ('token_type_ids', dynamic_axis),
            ] )



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


lowercase_     =       {
    'configuration_oneformer': ['ONEFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP', 'OneFormerConfig'],
    'processing_oneformer': ['OneFormerProcessor'],
}

try:
  if not is_vision_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowercase_     =       ['OneFormerImageProcessor']

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowercase_     =       [
      'ONEFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
      'OneFormerForUniversalSegmentation',
      'OneFormerModel',
      'OneFormerPreTrainedModel',
  ]

if TYPE_CHECKING:
  from .configuration_oneformer import ONEFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, OneFormerConfig
  from .processing_oneformer import OneFormerProcessor

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .image_processing_oneformer import OneFormerImageProcessor
  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_oneformer import (
        ONEFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
        OneFormerForUniversalSegmentation,
        OneFormerModel,
        OneFormerPreTrainedModel,
    )


else:
  import sys

  lowercase_     =       _LazyModule(__name__, globals()['__file__'], _import_structure)


