使用TensorFlow的基本步骤一般为：定义计算图，执行计算图，查看计算图

import tensorflow as tf

#定义计算图
g = tf.Graph()
with g.as_default():
    hello = tf.constant('hello',name = 'hello')
    world = tf.constant('world',name = 'world')
    helloworld = tf.string_join([hello,world],name = 'join',separator=' ')

#执行计算图
with tf.Session(graph = g) as sess:
    print(sess.run(fetches = helloworld,feed_dict={}))

#查看计算图
with tf.summary.FileWriter('F:\lys\my_graph') as writer:
    writer.add_graph(g)

#1，在命令行中切换到 F:\lys\my_graph
#2，运行 tensorboard --logdir=my_graph
#3, 打开浏览器输入地址http://localhost:6006

或者

writer = tf.summary.FileWriter('F:\lys\my_graph', tf.get_default_graph())
writer.close()

查看

tensorflow 利用TensorBoard查看计算图_Graph