code: def write_tensorboard_text(self, key, input_dict):
          
          try:
              with tf.Session() as sess:
                  s_op = tf.summary.text(key, tf.convert_to_tensor(
                      ([[str(x), str(input_dict[x])] for x in input_dict])))
                  s = sess.run(s_op)
                  self.summary_writer.add_summary(s, self.get_step)
          except:
              LOGGER.info(
                  "Cannot write text summary for Tensorboard. Tensorflow version must be r1.2 or above.")
              pass
docs: Saves text to Tensorboard.
          Note: Only works on tensorflow r1.2 or above.
          :param key: The name of the text.
          :param input_dict: A dictionary that will be displayed in a table on Tensorboard.