- #!/usr/bin/env python2
- # -*- coding: utf-8 -*-
- """
- Created on Thu Sep 6 10:16:37 2018
- @author: myhaspl
- @email:myhaspl@myhaspl.com
- """
- import tensorflow as tf
- g1=tf.Graph()
- g2=tf.Graph()
- with g1.as_default():
- with tf.name_scope("Scope_A"):
- asub=tf.subtract(1,2,name="A_sub")
- amul=tf.multiply(asub,3,name="B_mul")
- with tf.name_scope("Scope_B"):
- badd=tf.add(5,3,name="B_add")
- bmul=tf.multiply(badd,3,name="B_div")
- g1res=tf.add(amul,bmul,name="g1result")
- with g2.as_default():
- with tf.name_scope("Scope_C"):
- a=tf.placeholder(tf.float32,shape=(),name="input_a")
- b=tf.placeholder(tf.float32,shape=(),name="input_b")
- c=tf.add(a,b)
- g2res=tf.pow(c,2,name="g2result")
- with tf.Session(graph=g1) as sess1:
- print sess1.run(g1res)
- with tf.Session(graph=g2) as sess2:
- print sess2.run(g2res,feed_dict={a:12,b:22})
- #!/usr/bin/env python2
- # -*- coding: utf-8 -*-
- """
- Created on Thu Sep 6 10:16:37 2018
- @author: myhaspl
- @email:myhaspl@myhaspl.com
- """
- import tensorflow as tf
- g1=tf.Graph()
- with g1.as_default():
- y=tf.Variable(0.)
- with tf.name_scope("Scope_C"):
- a=tf.placeholder(tf.float32,shape=(),name="input_a")
- b=tf.placeholder(tf.float32,shape=(),name="input_b")
- with tf.name_scope("Scope_A"):
- asub=tf.subtract(a,b,name="A_sub")
- amul=tf.multiply(asub,3,name="B_mul")
- with tf.name_scope("Scope_B"):
- badd=tf.add(a,b,name="B_add")
- bmul=tf.multiply(badd,3,name="B_div")
- g1res=tf.add(amul,bmul,name="g1result")
- result=y.assign(y+g1res)
- init=tf.initialize_all_variables()
- with tf.Session(graph=g1) as sess1:
- sess1.run(init)
- print sess1.run(result,feed_dict={a:28,b:9})
- with tf.Session(graph=g1) as sess2:
- sess2.run(init)
- print sess2.run(result,feed_dict={a:12,b:22})
多个 session 都独立地对 y 进行操作
上面程序输出为:
168.0
72.0
来源: http://www.bubuko.com/infodetail-2867013.html