【03】创建tensorboard作用域_b

1、文件组织

2、打开tensorboard服务

3、查看运行流程

4、代码

import tensorflow as tf
# 通过声明一个默认的Graph对象，然后定义张量内容，在后面可以调用或保存
# 1. 它可以通过tensorboard用图形化界面展示出来流程结构
# 2. 它可以整合一段代码为一个整体存在于一个图中
graph  = tf.Graph()

with graph.as_default():
    in_1 = tf.placeholder(tf.float32,shape=[],name="imput_a")
    in_2 = tf.placeholder(tf.float32,shape=[],name="imput_b")
    const = tf.constant(3,dtype=tf.float32,name="static_value")

    with tf.name_scope("Transformation"):

        with tf.name_scope("A"):
            A_mul = tf.multiply(in_1,const)
            A_out = tf.subtract(A_mul,in_1)

        with tf.name_scope("B"):
            B_mul = tf.multiply(in_2,const)
            B_out = tf.subtract(B_mul,in_2)

        with tf.name_scope("C"):
            C_div = tf.div(A_out,B_out)
            C_out = tf.add(C_div,const)

        with tf.name_scope("D"):
            D_div = tf.div(B_out,A_out)
            D_out = tf.add(D_div,const)

    out = tf.maximum(C_out,D_out,name="max")

writer = tf.summary.FileWriter("./board/name_scope2",graph=graph)
writer.close()