



"""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  A_     (	SCREAMING_SNAKE_CASE_							):



						"""simple docstring"""
						__UpperCamelCase													=				"""vit-hybrid"""






						def __init__(   self					:Union[str, Any]  ,    lowercase_					:Dict=None  ,    lowercase_					:Union[str, Any]=7_68  ,    lowercase_					:Optional[int]=12  ,    lowercase_					:Tuple=12  ,    lowercase_					:Tuple=30_72  ,    lowercase_					:List[Any]="gelu"  ,    lowercase_					:Any=0.0  ,    lowercase_					:Tuple=0.0  ,    lowercase_					:Optional[Any]=0.02  ,    lowercase_					:List[str]=1E-12  ,    lowercase_					:Optional[int]=2_24  ,    lowercase_					:List[str]=1  ,    lowercase_					:Union[str, Any]=3  ,    lowercase_					:int=[1, 10_24, 24, 24]  ,    lowercase_					:Optional[Any]=True  ,    **lowercase_					:List[str]  ,    )							->     List[str]:
												super().__init__(**lowercase_   )

												if backbone_config is None:
																		logger.info('`backbone_config` is `None`. Initializing the config with a `BiT` backbone.'   )
																		UpperCAmelCase			 =					{
																		    '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:
																								UpperCAmelCase			 =					CONFIG_MAPPING[backbone_config['model_type']]
																		else:
																								logger.info(
																								    '`model_type` is not found in `backbone_config`. Use `Bit` as the backbone configuration class.'   )
																								UpperCAmelCase			 =					BitConfig
																		UpperCAmelCase			 =					backbone_config_class(**lowercase_   )

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






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












'''simple docstring'''







import glob
import os

from get_test_info import get_tester_classes


if __name__ == "__main__":
					snake_case_  :							Union[str, Any]            =	[]

					snake_case_  :							List[Any]            =	os.path.join("tests", "models", "**", "test_modeling_*.py")
					snake_case_  :							int            =	glob.glob(pattern)
					# TODO: deal with TF/Flax too
					snake_case_  :							Optional[int]            =	[
					    x for x in test_files if not (x.startswith("test_modeling_tf_") or x.startswith("test_modeling_flax_"))
					]

					for test_file in test_files:
										snake_case_  :							Any            =	get_tester_classes(test_file)
										for tester_class in tester_classes:
															# A few tester classes don't have `parent` parameter in `__init__`.
															# TODO: deal this better
															try:
																				snake_case_  :							Tuple            =	tester_class(parent=None)
															except Exception:
																				continue
															if hasattr(tester, "get_config"):
																				snake_case_  :							Any            =	tester.get_config()
																				for k, v in config.to_dict().items():
																									if isinstance(v, int):
																														snake_case_  :							int            =	None
																														if k in ["vocab_size"]:
																																			snake_case_  :							Optional[Any]            =	1_00
																														elif k in ["max_position_embeddings"]:
																																			snake_case_  :							Any            =	1_28
																														elif k in ["hidden_size", "d_model"]:
																																			snake_case_  :							str            =	40
																														elif k == ["num_layers", "num_hidden_layers", "num_encoder_layers", "num_decoder_layers"]:
																																			snake_case_  :							str            =	5
																														if target is not None and v > target:
																																			failures.append(
																																			    f'''{tester_class.__name__} will produce a `config` of type `{config.__class__.__name__}`'''
																																			    f''' with config["{k}"] = {v} which is too large for testing! Set its value to be smaller'''
																																			    f''' than {target}.'''
																																			)

					if len(failures) > 0:
										raise Exception(f'''There were {len(failures)} failures:\n''' + "\n".join(failures))





