我是tensorflow的新手。以下是我试图运行的程序。

import numpy as npimport tensorflow as tfwith tf.Session() as sess:    x=tf.placeholder("float",[1,3])    relu_out=x    num_layers=2    for layer in range(num_layers):        w=tf.Variable(tf.random_normal([3,3]))        b=tf.Variable(tf.zeros([1,3]))        relu_out=tf.nn.relu(tf.matmul(relu_out,w)+b)    softmax_w=tf.Variable(tf.random_normal([3,3]))    softmax_b=tf.Variable(tf.zeros([1,3]))    logit=tf.matmul(relu_out,softmax_w)+softmax_b    softmax=tf.nn.softmax(logit)    answer=np.array([[0.0,1.0,0.0]])    labels=tf.placeholder("float",[1,3])    cross_entropy=tf.nn.softmax_cross_entropy_with_logits(relu_out,labels,name='xentropy')    optimizer=tf.train.GradientDescentOptimizer(0.1)    train_op=optimizer.minimize(cross_entropy)    sess.run(tf.initialize_all_vraiables())    for step in range(10):        sess.run(train_op,feed_dict={x:np.array([[1.0,2.0,3.0]]),labels:answer})

它显示以下错误：

Traceback (most recent call last):  File "/home/nilay/gdrive/REU/summer_exp/tf_tut/tf_add_layers.py", line 20, in <module>    sess.run(tf.initialize_all_vraiables())AttributeError: 'module' object has no attribute 'initialize_all_vraiables'

请帮助我解决这个问题。

回答：

你的代码中有一个拼写错误：

应该是 tf.initialize_all_variables 而不是 tf.initialize_all_vraiables