
'''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


UpperCAmelCase__   : int					=		logging.get_logger(__name__)

UpperCAmelCase__   : str					=		{
    "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    A     (	SCREAMING_SNAKE_CASE__    ):
	snake_case__      :Dict        =     'vit-hybrid'





	def __init__(					self			:       List[str]      ,							__magic_name__			:       Optional[int]=None      ,							__magic_name__			:       Tuple=768      ,							__magic_name__			:       Union[str, Any]=12      ,							__magic_name__			:       List[Any]=12      ,							__magic_name__			:       Tuple=3072      ,							__magic_name__			:       List[str]="gelu"      ,							__magic_name__			:       Union[str, Any]=0.0      ,							__magic_name__			:       Union[str, Any]=0.0      ,							__magic_name__			:       Union[str, Any]=0.02      ,							__magic_name__			:       Optional[int]=1E-12      ,							__magic_name__			:       Any=224      ,							__magic_name__			:       str=1      ,							__magic_name__			:       Dict=3      ,							__magic_name__			:       Union[str, Any]=[1, 1024, 24, 24]      ,							__magic_name__			:       Optional[int]=True      ,							**__magic_name__			:       Any      ,							):


				"""simple docstring"""

				super().__init__(**__magic_name__							)

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

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

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







	def 							__SCREAMING_SNAKE_CASE  (					self			:       Optional[int]							):


				"""simple docstring"""

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







'''simple docstring'''

from ..utils import DummyObject, requires_backends






class    A     (	metaclass=SCREAMING_SNAKE_CASE__    ):
	snake_case__      :Optional[Any]        =     ['torch', 'transformers', 'k_diffusion']





	def __init__(					self			:       Optional[Any]      ,							*__magic_name__			:       Optional[int]      ,							**__magic_name__			:       str							):


				"""simple docstring"""

				requires_backends(self      ,							["torch", "transformers", "k_diffusion"]							)





	@classmethod
	def 							__SCREAMING_SNAKE_CASE  (					cls			:       str      ,							*__magic_name__			:       Union[str, Any]      ,							**__magic_name__			:       int							):


				"""simple docstring"""

				requires_backends(cls      ,							["torch", "transformers", "k_diffusion"]							)







	@classmethod
	def 							__SCREAMING_SNAKE_CASE  (					cls			:       int      ,							*__magic_name__			:       Dict      ,							**__magic_name__			:       str							):


				"""simple docstring"""

				requires_backends(cls      ,							["torch", "transformers", "k_diffusion"]							)





