




from collections import OrderedDict
from typing import Mapping

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


__lowerCAmelCase		:				str       			=		logging.get_logger(__name__)

__lowerCAmelCase		:				Dict       			=		{
    'camembert-base': 'https://huggingface.co/camembert-base/resolve/main/config.json',
    'umberto-commoncrawl-cased-v1': (
        'https://huggingface.co/Musixmatch/umberto-commoncrawl-cased-v1/resolve/main/config.json'
    ),
    'umberto-wikipedia-uncased-v1': (
        'https://huggingface.co/Musixmatch/umberto-wikipedia-uncased-v1/resolve/main/config.json'
    ),
}




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



				SCREAMING_SNAKE_CASE_       :							Union[str, Any]							 =					"""camembert"""





				def __init__(      self				:     Any					,      __lowerCamelCase				:     Tuple=3_05_22					,      __lowerCamelCase				:     Optional[Any]=7_68					,      __lowerCamelCase				:     Tuple=12					,      __lowerCamelCase				:     Any=12					,      __lowerCamelCase				:     Any=30_72					,      __lowerCamelCase				:     str="gelu"					,      __lowerCamelCase				:     int=0.1					,      __lowerCamelCase				:     Dict=0.1					,      __lowerCamelCase				:     Optional[Any]=5_12					,      __lowerCamelCase				:     Any=2					,      __lowerCamelCase				:     str=0.02					,      __lowerCamelCase				:     Optional[Any]=1e-12					,      __lowerCamelCase				:     int=1					,      __lowerCamelCase				:     Union[str, Any]=0					,      __lowerCamelCase				:     List[str]=2					,      __lowerCamelCase				:     Tuple="absolute"					,      __lowerCamelCase				:     List[str]=True					,      __lowerCamelCase				:     Dict=None					,      **__lowerCamelCase				:     Dict					,      )					->     Tuple:
							super().__init__(pad_token_id=__lowerCamelCase					,      bos_token_id=__lowerCamelCase					,      eos_token_id=__lowerCamelCase					,      **__lowerCamelCase							)

							a    =			vocab_size
							a    =			hidden_size
							a    =			num_hidden_layers
							a    =			num_attention_heads
							a    =			hidden_act
							a    =			intermediate_size
							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    =			position_embedding_type
							a    =			use_cache
							a    =			classifier_dropout




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



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












import warnings

from diffusers import StableDiffusionImgaImgPipeline  # noqa F401


warnings.warn(
    'The `image_to_image.py` script is outdated. Please use directly `from diffusers import'
    ' StableDiffusionImg2ImgPipeline` instead.'
)






