






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			:		List[str]   				=    logging.get_logger(__name__)

_UpperCAmelCase			:		Union[str, Any]   				=    {
    "microsoft/resnet-50": "https://huggingface.co/microsoft/resnet-50/blob/main/config.json",
}
class  lowerCAmelCase_       (				snake_case__     ,    snake_case__					):
							UpperCamelCase_		:List[Any]		      =    'resnet'
							UpperCamelCase_		:str		      =    ['basic', 'bottleneck']




							def __init__(   self     :   Tuple ,							SCREAMING_SNAKE_CASE_     :   Any=3 ,							SCREAMING_SNAKE_CASE_     :   Any=64 ,							SCREAMING_SNAKE_CASE_     :   str=[256, 512, 1_024, 2_048] ,							SCREAMING_SNAKE_CASE_     :   Optional[int]=[3, 4, 6, 3] ,							SCREAMING_SNAKE_CASE_     :   Union[str, Any]="bottleneck" ,							SCREAMING_SNAKE_CASE_     :   Tuple="relu" ,							SCREAMING_SNAKE_CASE_     :   Optional[int]=False ,							SCREAMING_SNAKE_CASE_     :   List[Any]=None ,							SCREAMING_SNAKE_CASE_     :   Optional[Any]=None ,							**SCREAMING_SNAKE_CASE_     :   int ,							):
											super().__init__(**SCREAMING_SNAKE_CASE_	)
											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(SCREAMING_SNAKE_CASE_	) + 1	)]
											lowerCAmelCase__			,		lowerCAmelCase__      			=						get_aligned_output_features_output_indices(
											    out_features=SCREAMING_SNAKE_CASE_ ,							out_indices=SCREAMING_SNAKE_CASE_ ,							stage_names=self.stage_names	)



class  lowerCAmelCase_       (				snake_case__					):
							UpperCamelCase_		:Optional[Any]		      =    version.parse('1.11'					)




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




							@property
							def 						__snake_case					(   self     :   Union[str, Any]	):
											return 1e-3













from .glue import GlueDataset, GlueDataTrainingArguments
from .language_modeling import (
    LineByLineTextDataset,
    LineByLineWithRefDataset,
    LineByLineWithSOPTextDataset,
    TextDataset,
    TextDatasetForNextSentencePrediction,
)
from .squad import SquadDataset, SquadDataTrainingArguments





