code: def preprocess_image_tensor(image_tensor, image_size=IMAGE_SIZE):
      """Preprocesses the given image Tensor.
  
      Args:
        image_tensor: `Tensor` representing an image array arbitrary size.
        image_size: image size.
  
      Returns:
        A preprocessed and normalized image `Tensor`.
      """
      image_tensor = _center_crop(image_tensor, image_size)
      image_tensor = tf.reshape(
          image_tensor, [image_size, image_size, 3]
      )
      image_tensor = tf.cast(image_tensor, dtype=tf.float32)
      image_tensor = _normalize(
          image_tensor, mean_rgb=MEAN_RGB, stddev_rgb=STDDEV_RGB
      )
      return image_tensor
  
label_desc: Use image node_id 3 for calling a global function with example usage: preprocess_image_tensor(image_tensor, image_size) and returns: image_tensor