



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
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


UpperCamelCase_   	=	logging.get_logger(__name__)

UpperCamelCase_   	=	{
    """microsoft/resnet-50""": """https://huggingface.co/microsoft/resnet-50/blob/main/config.json""",
}

class       a		(   __snake_case      ,	__snake_case					):
							lowercase_		:						Optional[int]   							=  'resnet'
							lowercase_		:						Optional[Any]   							=  ['basic', 'bottleneck']







							def __init__(						self  :  Tuple      ,				snake_case__  :  Dict=3      ,				snake_case__  :  Tuple=64      ,				snake_case__  :  Optional[Any]=[256, 512, 1_024, 2_048]      ,				snake_case__  :  List[Any]=[3, 4, 6, 3]      ,				snake_case__  :  int="bottleneck"      ,				snake_case__  :  List[Any]="relu"      ,				snake_case__  :  Optional[Any]=False      ,				snake_case__  :  Optional[int]=None      ,				snake_case__  :  int=None      ,				**snake_case__  :  Tuple      ,				):
								"""simple docstring"""







								super().__init__(**A_ )
								if layer_type not in self.layer_types:
									raise ValueError(F"layer_type={layer_type} is not one of {','.join(self.layer_types )}" )
								__lowerCAmelCase         =							num_channels
								__lowerCAmelCase         =							embedding_size
								__lowerCAmelCase         =							hidden_sizes
								__lowerCAmelCase         =							depths
								__lowerCAmelCase         =							layer_type
								__lowerCAmelCase         =							hidden_act
								__lowerCAmelCase         =							downsample_in_first_stage
								__lowerCAmelCase         =							["stem"] + [F"stage{idx}" for idx in range(1      ,				len(A_ ) + 1 )]
								__lowerCAmelCase         =							get_aligned_output_features_output_indices(
								    out_features=A_      ,				out_indices=A_      ,				stage_names=self.stage_names )

class       a		(   __snake_case					):
							lowercase_		:						List[str]   							=  version.parse('1.11'					)







							@property
							def       UpperCAmelCase__					(						self  :  Any ):
								"""simple docstring"""







								return OrderedDict(
								    [
								        ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
								    ] )







							@property
							def       UpperCAmelCase__					(						self  :  str ):
								"""simple docstring"""







								return 1E-3








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       a		(   __UpperCAmelCase					):
							lowercase_		:						str   							=  'distilbert'
							lowercase_		:						Any   							=  {
							    'hidden_size': 'dim',
							    'num_attention_heads': 'n_heads',
							    'num_hidden_layers': 'n_layers',
							}







							def __init__(						self  :  Optional[int]      ,				snake_case__  :  int=30_522      ,				snake_case__  :  str=512      ,				snake_case__  :  Tuple=False      ,				snake_case__  :  Tuple=6      ,				snake_case__  :  Any=12      ,				snake_case__  :  Dict=768      ,				snake_case__  :  Any=4 * 768      ,				snake_case__  :  Union[str, Any]=0.1      ,				snake_case__  :  str=0.1      ,				snake_case__  :  Tuple="gelu"      ,				snake_case__  :  str=0.0_2      ,				snake_case__  :  Optional[Any]=0.1      ,				snake_case__  :  Optional[Any]=0.2      ,				snake_case__  :  str=0      ,				**snake_case__  :  Dict      ,				):
								"""simple docstring"""







								__lowerCAmelCase         =							vocab_size
								__lowerCAmelCase         =							max_position_embeddings
								__lowerCAmelCase         =							sinusoidal_pos_embds
								__lowerCAmelCase         =							n_layers
								__lowerCAmelCase         =							n_heads
								__lowerCAmelCase         =							dim
								__lowerCAmelCase         =							hidden_dim
								__lowerCAmelCase         =							dropout
								__lowerCAmelCase         =							attention_dropout
								__lowerCAmelCase         =							activation
								__lowerCAmelCase         =							initializer_range
								__lowerCAmelCase         =							qa_dropout
								__lowerCAmelCase         =							seq_classif_dropout
								super().__init__(**snake_case__      ,				pad_token_id=snake_case__ )

class       a		(   __UpperCAmelCase					):







							@property
							def       UpperCAmelCase__					(						self  :  Tuple ):
								"""simple docstring"""







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






