code: def solarize(image, threshold=128):
      # For each pixel in the image, select the pixel
      # if the value is less than the threshold.
      # Otherwise, subtract 255 from the pixel.
      threshold = tf.saturate_cast(threshold, image.dtype)
      return tf.where(image < threshold, image, 255 - image)
  
imports: import math
  import tensorflow
  import tensorflow_addons
label_desc: Use image node_id 4 for calling a global function with example usage: solarize(image, threshold) and returns: tf