tensorflow的placeholder

variable是已经规定好了初始值，placeholder是要运行时传入初始值
课程链接

import numpy as np
import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()

input1 = tf.placeholder(tf.float32)
input2 = tf.placeholder(tf.float32)

output = tf.multiply(input1, input2)

with tf.Session() as sess:
    print(sess.run(output, feed_dict={
    
    input1:[7.], input2:[2.]}))#7.0即浮点数7.0的缩写 输入的初始值以字典的形式输入

[14.]