Tensorflow fetch和feed

import tensorflow as tf

#Fetch

input1 = tf.constant(1.0)

input2 = tf.constant(3.0)

input3 = tf.constant(5.0)

add = tf.add(input2,input3)

mul = tf.multiply(input1,add)

with tf.Session() as sess:

result = sess.run([mul,add])

print(result)

############输出 [8.0, 8.0]

#Feed

#创建占位符

input4 = tf.placeholder(tf.float32)

input5 = tf.placeholder(tf.float32)

output = tf.multiply(input4,input5)

with tf.Session() as sess:

#Feed的数据以字典的形式传入

print(sess.run(output,feed_dict={input4:[7.0],input5:[9.0]}))

#输出 [ 63.]