
"""simple docstring"""




import copy
from typing import Dict

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import CONFIG_MAPPING
from ..bit import BitConfig


snake_case			       =		logging.get_logger(__name__)

snake_case			       =		{
    'google/vit-hybrid-base-bit-384': 'https://huggingface.co/vit-hybrid-base-bit-384/resolve/main/config.json',
    # See all ViT hybrid models at https://huggingface.co/models?filter=vit
}




class 					UpperCamelCase     (	__magic_name__				):

				"""simple docstring"""



				UpperCAmelCase_    :				int						  =    "vit-hybrid"


				def __init__(    self		,     lowercase__=None		,     lowercase__=768		,     lowercase__=12		,     lowercase__=12		,     lowercase__=3072		,     lowercase__="gelu"		,     lowercase__=0.0		,     lowercase__=0.0		,     lowercase__=0.02		,     lowercase__=1E-12		,     lowercase__=224		,     lowercase__=1		,     lowercase__=3		,     lowercase__=[1, 1024, 24, 24]		,     lowercase__=True		,     **lowercase__		,     )   ->   Dict:
									"""simple docstring"""







									super().__init__(**lowercase__      )

									if backbone_config is None:
														logger.info('`backbone_config` is `None`. Initializing the config with a `BiT` backbone.'      )
														SCREAMING_SNAKE_CASE           =     {
														    'global_padding': 'same',
														    'layer_type': 'bottleneck',
														    'depths': [3, 4, 9],
														    'out_features': ['stage3'],
														    'embedding_dynamic_padding': True,
														}

									if isinstance(lowercase__		,     lowercase__      ):
														if "model_type" in backbone_config:
																			SCREAMING_SNAKE_CASE           =     CONFIG_MAPPING[backbone_config['model_type']]
														else:
																			logger.info(
																			    '`model_type` is not found in `backbone_config`. Use `Bit` as the backbone configuration class.'      )
																			SCREAMING_SNAKE_CASE           =     BitConfig
														SCREAMING_SNAKE_CASE           =     backbone_config_class(**lowercase__      )

									SCREAMING_SNAKE_CASE           =     backbone_featmap_shape
									SCREAMING_SNAKE_CASE           =     backbone_config
									SCREAMING_SNAKE_CASE           =     hidden_size
									SCREAMING_SNAKE_CASE           =     num_hidden_layers
									SCREAMING_SNAKE_CASE           =     num_attention_heads
									SCREAMING_SNAKE_CASE           =     intermediate_size
									SCREAMING_SNAKE_CASE           =     hidden_act
									SCREAMING_SNAKE_CASE           =     hidden_dropout_prob
									SCREAMING_SNAKE_CASE           =     attention_probs_dropout_prob
									SCREAMING_SNAKE_CASE           =     initializer_range
									SCREAMING_SNAKE_CASE           =     layer_norm_eps
									SCREAMING_SNAKE_CASE           =     image_size
									SCREAMING_SNAKE_CASE           =     patch_size
									SCREAMING_SNAKE_CASE           =     num_channels
									SCREAMING_SNAKE_CASE           =     qkv_bias




				def 							A (    self      )   ->   Dict[str, any]:
									"""simple docstring"""







									SCREAMING_SNAKE_CASE           =     copy.deepcopy(self.__dict__      )
									SCREAMING_SNAKE_CASE           =     self.backbone_config.to_dict()
									SCREAMING_SNAKE_CASE           =     self.__class__.model_type
									return output


"""simple docstring"""




import abc
import copy
import dataclasses
from dataclasses import dataclass
from typing import ClassVar, Dict, Type, TypeVar

from ..features import Features


snake_case			       =		TypeVar('T', bound='TaskTemplate')




@dataclass(frozen=__magic_name__				)
class 					UpperCamelCase     (	abc.ABC				):

				"""simple docstring"""



				UpperCAmelCase_    :				str
				UpperCAmelCase_    :				ClassVar[Features]
				UpperCAmelCase_    :				ClassVar[Features]


				def 							A (    self		,     lowercase__      )   ->   T:
									"""simple docstring"""







									return copy.deepcopy(self      )


				@property
				def 							A (    self      )   ->   Features:
									"""simple docstring"""







									return Features(**self.input_schema		,     **self.label_schema      )


				@property
				@abc.abstractmethod
				def 							A (    self      )   ->   Dict[str, str]:
									"""simple docstring"""







									raise NotImplementedError




				@classmethod
				def 							A (    cls		,     lowercase__      )   ->   T:
									"""simple docstring"""







									SCREAMING_SNAKE_CASE           =     {f.name for f in dataclasses.fields(cls      )}
									return cls(**{k: v for k, v in template_dict.items() if k in field_names}      )
