losses_avg

[LLLLLLoki]

请问 您在loss中加入 with tf.variable_scope("losses_avg"): loss_moving_avg = tf.get_variable("training_loss", initializer=100.0, trainable=False) lm = loss_moving_avg.assign(loss_moving_avg * 0.9 + loss * 0.1) tf.summary.scalar("loss_avg/total_loss", lm)

            with tf.control_dependencies([lm]):
                loss = tf.identity(loss)

为什么要加入一个losses_avg