import tensorflow as tf

      tf.compat.v2.summary.scalar(
          name="relabel_q_vals",
          data=tf.reduce_mean(relabel_q_vals),
          step=global_step,
      )

      max_q = tf.reduce_max(logits_vec, axis=1)
      tf.compat.v2.summary.scalar(
          name="max_q", data=tf.reduce_mean(max_q), step=global_step)

    ### End metrics

