#coding=utf-8
import tensorflow as tf
#申明一个placeholder,理解为占位,shape可以填充时定,也可以事先定,run的时候填充数据
input1 = tf.placeholder(tf.float32)
input2 = tf.placeholder(tf.float32)
output = tf.mul(input1, input2)
with tf.Session() as sess:
print(sess.run([output], feed_dict={input1:[7.], input2:[2.]}))
# output:
# [array([ 14.], dtype=float32)]
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