# -*- coding:utf-8 -*- import tensorflow as tf # fetch 同时调用多个op input1 = tf.constant(3.0) input2 = tf.constant(2.0) input3 = tf.constant(6.0) add = tf.add(input1, input2) mul = tf.multiply(input1, input3) with tf.Session() as sess: result = sess.run([mul, add]) print(result) # Feed 数据以字典形式传入 # 创建占位符 input4 = tf.placeholder(tf.float32) input5 = tf.placeholder(tf.float32) output1= tf.multiply(input4, input5) with tf.Session() as sess: print(sess.run(output1, feed_dict={input4: [8], input5: [3]}))
tensorflow入门学习笔记 5.fetch和Feed
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转载自blog.csdn.net/u011321546/article/details/80110565
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