TensorFlow 异常：AttributeError: module 'tensorflow' has no attribute 'mul'

AttributeError: module 'tensorflow' has no attribute 'mul'

执行代码：

import tensorflow as tf

sess = tf.Session()

a = tf.placeholder("float")
b = tf.placeholder("float")
c = tf.constant(6.0)
d = tf.mul(a, b)
y = tf.mul(d, c)
print(sess.run(y, feed_dict={a: 3, b: 3}))

A = [[1.1,2.3],[3.4,4.1]]
Y = tf.matrix_inverse(A)
print(sess.run(Y))
sess.close()

异常信息：

File "F:/demo/learning_tensorflow/1.py", line 8, in 
    d = tf.mul(a, b)
AttributeError: module 'tensorflow' has no attribute 'mul'

原因：TensorFlow的“mul”函数变成“multiply”函数了。TensorFlow版本不同，使用的函数不同。

修改过后：

import tensorflow as tf

sess = tf.Session()

a = tf.placeholder("float")
b = tf.placeholder("float")
c = tf.constant(6.0)
d = tf.multiply(a, b)
y = tf.multiply(d, c)
print(sess.run(y, feed_dict={a: 3, b: 3}))

A = [[1.1,2.3],[3.4,4.1]]
Y = tf.matrix_inverse(A)
print(sess.run(Y))
sess.close()

运行结果：

54.0
[[-1.2386707   0.69486403]
 [ 1.0271904  -0.33232632]]

Process finished with exit code 0

tf.mul函数已经被换成了tf.multiply后运行正常。ok，已经解决异常。