code: def solarize_add(image, addition=0, threshold=128):
      # For each pixel in the image less than threshold
      # we add 'addition' amount to it and then clip the
      # pixel value to be between 0 and 255. The value
      # of 'addition' is between -128 and 128
      threshold = tf.saturate_cast(threshold, image.dtype)
      added_im = tf.cast(image, tf.int32) + tf.cast(addition, tf.int32)
      added_im = tf.saturate_cast(added_im, tf.uint8)
      return tf.where(image < threshold, added_im, image)
  
imports: import math
  import tensorflow
  import tensorflow_addons
label_desc: Use image node_id 5 for calling a global function with example usage: solarize_add(image, addition, threshold) and returns: tf