code: def preprocess_input(x, **kwargs):
      """Preprocesses a numpy array encoding a batch of images.
      # Arguments
          x: a 4D numpy array consists of RGB values within [0, 255].
      # Returns
          Preprocessed array.
      """
      return imagenet_utils.preprocess_input(x, mode="tf", **kwargs)
  
file_path: segmentation_models/segmentation_models/backbones/inception_resnet_v2.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  from keras_applications import imagenet_utils
  from keras_applications import get_submodules_from_kwargs
label_desc: Use image node_id 1 for calling a global function with example usage: preprocess_input(x) and returns: imagenet_utils