





"""simple docstring"""






from collections import OrderedDict
from typing import Mapping

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


A       	=     logging.get_logger(__name__)

A       	=     {
    '''roberta-base''': '''https://huggingface.co/roberta-base/resolve/main/config.json''',
    '''roberta-large''': '''https://huggingface.co/roberta-large/resolve/main/config.json''',
    '''roberta-large-mnli''': '''https://huggingface.co/roberta-large-mnli/resolve/main/config.json''',
    '''distilroberta-base''': '''https://huggingface.co/distilroberta-base/resolve/main/config.json''',
    '''roberta-base-openai-detector''': '''https://huggingface.co/roberta-base-openai-detector/resolve/main/config.json''',
    '''roberta-large-openai-detector''': '''https://huggingface.co/roberta-large-openai-detector/resolve/main/config.json''',
}




class  __lowercase	(	_UpperCamelCase							):







					'''simple docstring'''




					__lowerCAmelCase     =     '''roberta'''







					def __init__(  self		,	_UpperCAmelCase=50265		,	_UpperCAmelCase=768		,	_UpperCAmelCase=12		,	_UpperCAmelCase=12		,	_UpperCAmelCase=3072		,	_UpperCAmelCase="gelu"		,	_UpperCAmelCase=0.1		,	_UpperCAmelCase=0.1		,	_UpperCAmelCase=512		,	_UpperCAmelCase=2		,	_UpperCAmelCase=0.0_2		,	_UpperCAmelCase=1e-1_2		,	_UpperCAmelCase=1		,	_UpperCAmelCase=0		,	_UpperCAmelCase=2		,	_UpperCAmelCase="absolute"		,	_UpperCAmelCase=True		,	_UpperCAmelCase=None		,	**_UpperCAmelCase		,	):
									super().__init__(pad_token_id=_UpperCAmelCase		,	bos_token_id=_UpperCAmelCase		,	eos_token_id=_UpperCAmelCase		,	**_UpperCAmelCase   )

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






class  __lowercase	(	_UpperCamelCase							):







					'''simple docstring'''




					@property
					def        _lowerCamelCase						(  self   ):






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


from typing import TYPE_CHECKING

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


lowercase_									=   {
    'configuration_pix2struct': [
        'PIX2STRUCT_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'Pix2StructConfig',
        'Pix2StructTextConfig',
        'Pix2StructVisionConfig',
    ],
    'processing_pix2struct': ['Pix2StructProcessor'],
}

try:
  if not is_vision_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowercase_									=   ['Pix2StructImageProcessor']


try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowercase_									=   [
      'PIX2STRUCT_PRETRAINED_MODEL_ARCHIVE_LIST',
      'Pix2StructPreTrainedModel',
      'Pix2StructForConditionalGeneration',
      'Pix2StructVisionModel',
      'Pix2StructTextModel',
  ]

if TYPE_CHECKING:
  from .configuration_pixastruct import (
      PIX2STRUCT_PRETRAINED_CONFIG_ARCHIVE_MAP,
      PixaStructConfig,
      PixaStructTextConfig,
      PixaStructVisionConfig,
  )
  from .processing_pixastruct import PixaStructProcessor

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .image_processing_pixastruct import PixaStructImageProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_pixastruct import (
        PIX2STRUCT_PRETRAINED_MODEL_ARCHIVE_LIST,
        PixaStructForConditionalGeneration,
        PixaStructPreTrainedModel,
        PixaStructTextModel,
        PixaStructVisionModel,
    )

else:
  import sys

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


