code: def make_status_message(model):
      """Makes a string `Tensor` of training status."""
      return tf.string_join(
          [
              "Starting train step: current_image_id: ",
              tf.as_string(model.current_image_id),
              ", progress: ",
              tf.as_string(model.progress),
              ", num_blocks: {}".format(model.num_blocks),
              ", batch_size: {}".format(model.batch_size),
          ],
          name="status_message",
      )
  
imports: import os
  import time
  from absl import logging
  from magenta.models.gansynth.lib import networks
  import numpy
  import tensorflow.compat.v1
  import tensorflow_gan
label_desc: Use image node_id 15 for calling a global function with example usage: make_status_message(model) and returns: tf