



"""simple docstring"""







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:  Tuple			     =				logging.get_logger(__name__)

UpperCAmelCase:  Any			     =				{
    """facebook/convnext-tiny-224""": """https://huggingface.co/facebook/convnext-tiny-224/resolve/main/config.json""",
    # See all ConvNeXT models at https://huggingface.co/models?filter=convnext
}





class   UpperCamelCase	(     snake_case					,   snake_case       ):




	"""simple docstring"""
	SCREAMING_SNAKE_CASE_							:       List[str]						       =  "convnext"






	def __init__(     self				,UpperCAmelCase_=3				,UpperCAmelCase_=4				,UpperCAmelCase_=4				,UpperCAmelCase_=None				,UpperCAmelCase_=None				,UpperCAmelCase_="gelu"				,UpperCAmelCase_=0.02				,UpperCAmelCase_=1E-12				,UpperCAmelCase_=1E-6				,UpperCAmelCase_=0.0				,UpperCAmelCase_=2_24				,UpperCAmelCase_=None				,UpperCAmelCase_=None				,**UpperCAmelCase_				,):
			super().__init__(**UpperCAmelCase_   )

			_lowercase				: str     =   num_channels
			_lowercase				: Dict     =   patch_size
			_lowercase				: Union[str, Any]     =   num_stages
			_lowercase				: Optional[int]     =   [96, 1_92, 3_84, 7_68] if hidden_sizes is None else hidden_sizes
			_lowercase				: List[str]     =   [3, 3, 9, 3] if depths is None else depths
			_lowercase				: str     =   hidden_act
			_lowercase				: Union[str, Any]     =   initializer_range
			_lowercase				: List[str]     =   layer_norm_eps
			_lowercase				: Union[str, Any]     =   layer_scale_init_value
			_lowercase				: Optional[Any]     =   drop_path_rate
			_lowercase				: Optional[int]     =   image_size
			_lowercase				: Tuple     =   ["""stem"""] + [f"""stage{idx}""" for idx in range(1				,len(self.depths   ) + 1   )]
			_lowercase     ,  _lowercase				: Dict     =   get_aligned_output_features_output_indices(
			    out_features=UpperCAmelCase_				,out_indices=UpperCAmelCase_				,stage_names=self.stage_names   )







class   UpperCamelCase	(     snake_case       ):




	"""simple docstring"""
	SCREAMING_SNAKE_CASE_							:       str						       =  version.parse("1.11"       )






	@property
	def    lowerCamelCase__					(     self   ):
			return OrderedDict(
			    [
			        ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
			    ]   )






	@property
	def    lowerCamelCase__					(     self   ):
			return 1E-5










'''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))





