

'''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


lowerCAmelCase_ 			=			logging.get_logger(__name__)

lowerCAmelCase_ 			=			{
    '''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 			snake_case_     (	UpperCamelCase_      ):







			'''simple docstring'''

			SCREAMING_SNAKE_CASE  :     Dict		    =       """vit-hybrid"""







			def __init__(  self				:       Optional[int]							,     _UpperCamelCase				:       Dict=None							,     _UpperCamelCase				:       Optional[Any]=7_6_8							,     _UpperCamelCase				:       List[Any]=1_2							,     _UpperCamelCase				:       List[str]=1_2							,     _UpperCamelCase				:       Dict=3_0_7_2							,     _UpperCamelCase				:       Any="gelu"							,     _UpperCamelCase				:       Union[str, Any]=0.0							,     _UpperCamelCase				:       Dict=0.0							,     _UpperCamelCase				:       str=0.02							,     _UpperCamelCase				:       Any=1e-12							,     _UpperCamelCase				:       Optional[int]=2_2_4							,     _UpperCamelCase				:       Any=1							,     _UpperCamelCase				:       Dict=3							,     _UpperCamelCase				:       str=[1, 1_0_2_4, 2_4, 2_4]							,     _UpperCamelCase				:       Tuple=True							,     **_UpperCamelCase				:       List[str]							,     )   ->Tuple:
									super().__init__(**__SCREAMING_SNAKE_CASE							)

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

									if isinstance(__SCREAMING_SNAKE_CASE							,     __SCREAMING_SNAKE_CASE							):
															if "model_type" in backbone_config:
																					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.'''							)
																					snake_case_     =			BitConfig
															snake_case_     =			backbone_config_class(**__SCREAMING_SNAKE_CASE							)

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







			def        snake_case__(  self				:       Tuple							)   ->Dict[str, any]:
									snake_case_     =			copy.deepcopy(self.__dict__							)
									snake_case_     =			self.backbone_config.to_dict()
									snake_case_     =			self.__class__.model_type
									return output


import warnings

from .generation import GenerationMixin





class 			snake_case_     (	__A      ):







			'''simple docstring'''

			warnings.warn(
			    "Importing `GenerationMixin` from `src/transformers/generation_utils.py` is deprecated and will "
			    "be removed in Transformers v5. Import as `from transformers import GenerationMixin` instead."			, __A			, )