代码：
input1 = tf.placeholder(tf.types.float32)
input2 = tf.placeholder(tf.types.float32)
output = tf.mul(input1, input2)
with tf.Session()as sess:
print (sess.run([output], feed_dict={input:[7.], input2:[2.]}))
报错1：
AttributeError: module 'tensorflow' has no attribute 'types'
解决办法：
input1 = tf.placeholder(tf.float32)
input2 = tf.placeholder(tf.float32)
报错2：
AttributeError: module 'tensorflow' has no attribute 'mul'
解决办法：
output = tf.multiply(input1, input2)
报错3：
Cannot interpret feed_dict key as Tensor: Can not convert a method into a Tensor.
解决办法：
print sess.run([output], feed_dict={input1:[7.]， input2:[2.]})
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