



"""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'''





from ..utils import DummyObject, requires_backends


class 							_lowerCAmelCase	(  metaclass=__A							):


 """simple docstring"""

 lowerCamelCase									=     ['''torch''', '''librosa''']







 def __init__(      self					,    *_lowerCamelCase					,    **_lowerCamelCase  )    ->    str:
    requires_backends(self					,    ["""torch""", """librosa"""]  )







 @classmethod
 def       UpperCAmelCase_       (      cls					,    *_lowerCamelCase					,    **_lowerCamelCase  )    ->    Dict:
    requires_backends(cls					,    ["""torch""", """librosa"""]  )







 @classmethod
 def       UpperCAmelCase_       (      cls					,    *_lowerCamelCase					,    **_lowerCamelCase  )    ->    Optional[int]:
    requires_backends(cls					,    ["""torch""", """librosa"""]  )


class 							_lowerCAmelCase	(  metaclass=__A							):


 """simple docstring"""

 lowerCamelCase									=     ['''torch''', '''librosa''']







 def __init__(      self					,    *_lowerCamelCase					,    **_lowerCamelCase  )    ->    Dict:
    requires_backends(self					,    ["""torch""", """librosa"""]  )







 @classmethod
 def       UpperCAmelCase_       (      cls					,    *_lowerCamelCase					,    **_lowerCamelCase  )    ->    str:
    requires_backends(cls					,    ["""torch""", """librosa"""]  )







 @classmethod
 def       UpperCAmelCase_       (      cls					,    *_lowerCamelCase					,    **_lowerCamelCase  )    ->    Dict:
    requires_backends(cls					,    ["""torch""", """librosa"""]  )
