tensorflow输出

在Session对象上调用run()函数，执行流图，即可得到输出，

可获取单个输出，也可获取多个输出

import tensorflow as tf
import numpy as np

constant_A = tf.constant([100.0])
constant_B = tf.constant([300.0])
constant_C = tf.constant([3.0])

sum_ = tf.add(constant_A, constant_B)
mul_ = tf.multiply(constant_A, constant_C)

with tf.Session() as sess:
    # print (sess.run(tensor_id.get_shape()))
    result_sum = sess.run(sum_)
    # 单个输出
    print ("constant_A + constant_B = ", result_sum)
    print ("*******************")
    # 两个输出
    result_sum, result_mul = sess.run([sum_, mul_])
    print ("constant_A + constant_B = ", result_sum)
    print ("constant_A * constant_C = ", result_mul)

tensorflow的输出