import tensorflow as tf
# Fetch:可以在session中同时计算多个tensor或执行多个操作 # 定义三个常量 input1 = tf.constant(3.0) input2 = tf.constant(2.0) input3 = tf.constant(5.0) # 加法op add = tf.add(input2,input3) # 乘法op mul = tf.multiply(input1, add) with tf.Session() as sess: result1,result2 = sess.run([mul, add]) print(result1,result2)
# Feed:先定义占位符,等需要的时候再传入数据 input1 = tf.placeholder(tf.float32) input2 = tf.placeholder(tf.float32) # 乘法op output = tf.multiply(input1, input2) with tf.Session() as sess: print(sess.run(output, feed_dict={input1:8.0,input2:2.0}))