
"""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


lowercase_						    =					logging.get_logger(__name__)

lowercase_						    =					{
    """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_	(UpperCAmelCase__  , UpperCAmelCase__						):
 """simple docstring"""




 UpperCamelCase_						:     Union[str, Any]				   =    'convnext'




 def __init__( self       : List[Any]     ,   a_       : Optional[Any]=3     ,   a_       : Any=4     ,   a_       : int=4     ,   a_       : int=None     ,   a_       : int=None     ,   a_       : Union[str, Any]="gelu"     ,   a_       : List[Any]=0.02     ,   a_       : List[str]=1E-12     ,   a_       : str=1E-6     ,   a_       : List[str]=0.0     ,   a_       : Optional[int]=2_24     ,   a_       : Union[str, Any]=None     ,   a_       : int=None     ,   **a_       : Tuple     ,   )->					Optional[Any]:



      """simple docstring"""

      super().__init__(**lowerCamelCase__ )

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



class 		UpperCAmelCase_	(UpperCAmelCase__						):
 """simple docstring"""




 UpperCamelCase_						:     int				   =    version.parse("""1.11"""						)




 @property
 def   a      ( self       : Union[str, Any] )->					Tuple:



      """simple docstring"""

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






 @property
 def   a      ( self       : Optional[Any] )->					int:



      """simple docstring"""

      return 1E-5



"""simple docstring"""







import warnings

from .generation import FlaxGenerationMixin



class 		UpperCAmelCase_	(lowerCamelCase_						):
 """simple docstring"""




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

