小编Ngu*_*inh的帖子

我需要随着时间的推移得到损失历史,以图形方式绘制它.这是我的代码框架:

optimizer = tf.contrib.opt.ScipyOptimizerInterface(loss, method='L-BFGS-B', 
options={'maxiter': args.max_iterations, 'disp': print_iterations})
optimizer.minimize(sess, loss_callback=append_loss_history)

随着append_loss_history定义:

def append_loss_history(**kwargs):
    global step
    if step % 50 == 0:
        loss_history.append(loss.eval())
    step += 1

当我看到详细的输出时ScipyOptimizerInterface,损失实际上会随着时间的推移而减少.但是当我打印时loss_history,损失几乎是一样的.

请参阅文档:"受优化影响的变量在优化结束时就地更新" https://www.tensorflow.org/api_docs/python/tf/contrib/opt/ScipyOptimizerInterface.这是损失不变的原因吗？