code: def preprocess_input(x, data_format=None):
      """A placeholder method for backward compatibility.
  
      The preprocessing logic has been included in the convnext model
      implementation. Users are no longer required to call this method to
      normalize the input data. This method does nothing and only kept as a
      placeholder to align the API surface between old and new version of model.
  
      Args:
          x: A floating point `numpy.array` or a tensor.
          data_format: Optional data format of the image tensor/array. Defaults to
              None, in which case the global setting
              `keras.backend.image_data_format()` is used
              (unless you changed it, it defaults to `"channels_last"`).{mode}
  
      Returns:
          Unchanged `numpy.array` or tensor.
      """
      return x
  
imports: import numpy
  from keras import backend
  from keras import initializers
  from keras import layers
  from keras import ops
  from keras import random
  from keras.api_export import keras_export
  from keras.applications import imagenet_utils
  from keras.layers.layer import Layer
  from keras.models import Functional
  from keras.models import Sequential
  from keras.ops import operation_utils
  from keras.utils import file_utils
label_desc: Use image node_id 10 for calling a global function with example usage: preprocess_input(x, data_format) and returns: x