Tensorflow fetch和feed

标签：result   tput   run   NPU   数据   import   3.0   const   hold   

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.]

Tensorflow fetch和feed

标签：result   tput   run   NPU   数据   import   3.0   const   hold   

原文地址：https://www.cnblogs.com/herd/p/9457375.html