Can'；t似乎没有得到Tensorflow'；s tf.metrics.auc正在工作

Tensorflow有一个计算AUC的函数：tf.metrics.AUC（）。下面是我试图计算auc的代码的一部分：

init = tf.global_variables_initializer()

with tf.Session() as sess:
    sess.run(init)

    for epoch in range(training_epochs):
        sess.run(optimizer, feed_dict = {x : x_train, y : y_train, p_keep_input: 0.8, p_keep_hidden: 0.5})
        avg_cost = sess.run(cost, feed_dict = {x : x_train, y : y_train, p_keep_input: 0.8, p_keep_hidden: 0.5})

        if epoch % display_step == 0:
            training_acc = accuracy.eval({x : x_train, y : y_train, p_keep_input: 1.0, p_keep_hidden: 1.0})
            print("Epoch:", '%03d' % (epoch), "Training Accuracy:", '%.5f' % (training_acc), "cost=", "{:.5f}".format(avg_cost))

    print("Optimization Done!")


    roc_score = tf.metrics.auc(y, pred)
    roc_score = tf.convert_to_tensor(roc_score)
    print(roc_score.eval({x : x_test, y : y_test, p_keep_input: 1.0, p_keep_hidden: 1.0}))

下面是我得到的错误的任何部分。整个错误相当长

FailedPreconditionError (see above for traceback): Attempting to use uninitialized value auc_4/false_positives
     [[Node: auc_4/false_positives/read = Identity[T=DT_FLOAT, _class=["loc:@auc_4/false_positives"], _device="/job:localhost/replica:0/task:0/cpu:0"](auc_4/false_positives)]]

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如果有任何关于如何解决这个问题的建议，我将不胜感激。谢谢

现在可能太晚了，但如果您还没有找到解决方案，请尝试以下更改：

sess.run(tf.global_variables_initializer())
sess.run(tf.local_variables_initializer())
_,roc_score = tf.metrics.auc(y, pred)
print(sess.run(roc_score, feed_dict={x : x_test, y : y_test, p_keep_input: 1.0, p_keep_hidden: 1.0}))

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下面的更改允许代码无错误运行：

roc_score=tf.metrics.auc（y，pred）sess.run（tf.local_variables_initializer（））print（sess.run（roc_score，feed_dict={x:x_test，y:y_test，p_keep_input:1.0，p_keep_hidden:1.0}）

。现在的挑战是我的AUC得分为0.0。我不知道这一点出了什么问题。请参见：