





"""simple docstring"""





from collections import OrderedDict
from typing import Mapping

from packaging import version

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


_UpperCamelCase					      =   logging.get_logger(__name__)

_UpperCamelCase					      =   {
    'microsoft/beit-base-patch16-224-pt22k': (
        'https://huggingface.co/microsoft/beit-base-patch16-224-pt22k/resolve/main/config.json'
    ),
    # See all BEiT models at https://huggingface.co/models?filter=beit
}
class 		SCREAMING_SNAKE_CASE_				(     snake_case__ ):
				"""simple docstring"""
				__snake_case :							str									=		"""beit"""




				def __init__(  self	:Optional[int]    ,     __lowercase	:Tuple=8192    ,     __lowercase	:Dict=768    ,     __lowercase	:Optional[Any]=12    ,     __lowercase	:Any=12    ,     __lowercase	:str=3072    ,     __lowercase	:Optional[int]="gelu"    ,     __lowercase	:Any=0.0    ,     __lowercase	:Any=0.0    ,     __lowercase	:Dict=0.02    ,     __lowercase	:str=1e-1_2    ,     __lowercase	:Optional[int]=224    ,     __lowercase	:Union[str, Any]=16    ,     __lowercase	:Dict=3    ,     __lowercase	:Any=False    ,     __lowercase	:List[str]=False    ,     __lowercase	:str=False    ,     __lowercase	:List[Any]=False    ,     __lowercase	:List[Any]=0.1    ,     __lowercase	:Union[str, Any]=0.1    ,     __lowercase	:List[Any]=True    ,     __lowercase	:List[Any]=[3, 5, 7, 11]    ,     __lowercase	:Optional[int]=[1, 2, 3, 6]    ,     __lowercase	:List[str]=True    ,     __lowercase	:Dict=0.4    ,     __lowercase	:Optional[Any]=256    ,     __lowercase	:Union[str, Any]=1    ,     __lowercase	:Any=False    ,     __lowercase	:str=255    ,     **__lowercase	:Union[str, Any]    ,     ):
											super().__init__(**__lowercase      )

											__lowerCamelCase   :   Tuple       =vocab_size
											__lowerCamelCase   :   Union[str, Any]       =hidden_size
											__lowerCamelCase   :   Union[str, Any]       =num_hidden_layers
											__lowerCamelCase   :   Optional[int]       =num_attention_heads
											__lowerCamelCase   :   int       =intermediate_size
											__lowerCamelCase   :   List[str]       =hidden_act
											__lowerCamelCase   :   Optional[int]       =hidden_dropout_prob
											__lowerCamelCase   :   Optional[int]       =attention_probs_dropout_prob
											__lowerCamelCase   :   Tuple       =initializer_range
											__lowerCamelCase   :   Tuple       =layer_norm_eps

											__lowerCamelCase   :   List[Any]       =image_size
											__lowerCamelCase   :   Any       =patch_size
											__lowerCamelCase   :   List[str]       =num_channels
											__lowerCamelCase   :   Optional[int]       =use_mask_token
											__lowerCamelCase   :   Tuple       =use_absolute_position_embeddings
											__lowerCamelCase   :   str       =use_relative_position_bias
											__lowerCamelCase   :   Tuple       =use_shared_relative_position_bias
											__lowerCamelCase   :   Optional[int]       =layer_scale_init_value
											__lowerCamelCase   :   Dict       =drop_path_rate
											__lowerCamelCase   :   Optional[int]       =use_mean_pooling
											# decode head attributes (semantic segmentation)
											__lowerCamelCase   :   int       =out_indices
											__lowerCamelCase   :   int       =pool_scales
											# auxiliary head attributes (semantic segmentation)
											__lowerCamelCase   :   str       =use_auxiliary_head
											__lowerCamelCase   :   str       =auxiliary_loss_weight
											__lowerCamelCase   :   List[Any]       =auxiliary_channels
											__lowerCamelCase   :   Any       =auxiliary_num_convs
											__lowerCamelCase   :   Union[str, Any]       =auxiliary_concat_input
											__lowerCamelCase   :   str       =semantic_loss_ignore_index

class 		SCREAMING_SNAKE_CASE_				(     snake_case__ ):
				"""simple docstring"""
				__snake_case :							Optional[int]									=		version.parse("""1.11""" )




				@property
				def        __lowercase	(  self	:Dict      ):
											return OrderedDict(
											    [
											        ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
											    ]      )




				@property
				def        __lowercase	(  self	:List[str]      ):
											return 1e-4











"""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__)




