import tensorflow as tf

        train_op = tf.train.AdamOptimizer(learning_rate=lr).minimize(loss_total, global_step=global_step)

    with tf.variable_scope("summary"):
        summary_loss_total = tf.summary.scalar("loss_total", loss_total)
