





"""simple docstring"""





from collections import OrderedDict
from typing import Mapping

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


_UpperCamelCase					      =   logging.get_logger(__name__)

_UpperCamelCase					      =   {
    'distilbert-base-uncased': 'https://huggingface.co/distilbert-base-uncased/resolve/main/config.json',
    'distilbert-base-uncased-distilled-squad': (
        'https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/config.json'
    ),
    'distilbert-base-cased': 'https://huggingface.co/distilbert-base-cased/resolve/main/config.json',
    'distilbert-base-cased-distilled-squad': (
        'https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/config.json'
    ),
    'distilbert-base-german-cased': 'https://huggingface.co/distilbert-base-german-cased/resolve/main/config.json',
    'distilbert-base-multilingual-cased': (
        'https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/config.json'
    ),
    'distilbert-base-uncased-finetuned-sst-2-english': (
        'https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english/resolve/main/config.json'
    ),
}
class 		SCREAMING_SNAKE_CASE_				(     snake_case__ ):
				"""simple docstring"""
				__snake_case :							Optional[Any]									=		"""distilbert"""
				__snake_case :							Optional[int]									=		{
				    """hidden_size""": """dim""",
				    """num_attention_heads""": """n_heads""",
				    """num_hidden_layers""": """n_layers""",
				}




				def __init__(  self	:List[Any]    ,     __lowercase	:Union[str, Any]=3_0522    ,     __lowercase	:Optional[int]=512    ,     __lowercase	:List[str]=False    ,     __lowercase	:Dict=6    ,     __lowercase	:Optional[int]=12    ,     __lowercase	:Tuple=768    ,     __lowercase	:Any=4 * 768    ,     __lowercase	:Tuple=0.1    ,     __lowercase	:Tuple=0.1    ,     __lowercase	:Any="gelu"    ,     __lowercase	:Tuple=0.02    ,     __lowercase	:List[Any]=0.1    ,     __lowercase	:Union[str, Any]=0.2    ,     __lowercase	:Optional[Any]=0    ,     **__lowercase	:Optional[int]    ,     ):
											__lowerCamelCase   :   List[str]       =vocab_size
											__lowerCamelCase   :   int       =max_position_embeddings
											__lowerCamelCase   :   Optional[Any]       =sinusoidal_pos_embds
											__lowerCamelCase   :   List[str]       =n_layers
											__lowerCamelCase   :   List[str]       =n_heads
											__lowerCamelCase   :   Any       =dim
											__lowerCamelCase   :   int       =hidden_dim
											__lowerCamelCase   :   int       =dropout
											__lowerCamelCase   :   str       =attention_dropout
											__lowerCamelCase   :   Optional[int]       =activation
											__lowerCamelCase   :   List[Any]       =initializer_range
											__lowerCamelCase   :   Tuple       =qa_dropout
											__lowerCamelCase   :   Optional[Any]       =seq_classif_dropout
											super().__init__(**__lowercase    ,     pad_token_id=__lowercase      )

class 		SCREAMING_SNAKE_CASE_				(     snake_case__ ):
				"""simple docstring"""




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











"""simple docstring"""





from typing import TYPE_CHECKING

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


_UpperCamelCase					      =   {
    '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:
							_UpperCamelCase					      =   ['Pix2StructImageProcessor']


try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							_UpperCamelCase					      =   [
							    '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

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




