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import tensorflow as tf

#定义命名空间
with tf.name_scope('input'):
  #fetch：就是同时运行多个op的意思
  input1 = tf.constant(3.0,name='A')#定义名称，会在tensorboard中代替显示
  input2 = tf.constant(4.0,name='B')
  input3 = tf.constant(5.0,name='C')
with tf.name_scope('op'):
  #加法
  add = tf.add(input2,input3)
  #乘法
  mul = tf.multiply(input1,add)
with tf.Session() as ss:
  #默认在当前py目录下的logs文件夹，没有会自己创建
  wirter = tf.summary.FileWriter('logs/',ss.graph)
  result = ss.run([mul,add])
  print(result)

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tensorboard --logdir=C:\Users\vip_g\logs