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name_scope的用法

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name_scope的用法

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#author:victor
#name_scope和variable_scope的区别
#from _future_ import print_function

#import module
import tensorflow as tf

tf.set_random_seed(1)#reproducible

with tf.name_scope('a_name_scope'):
    #常量初始化
    initializer=tf.constant_initializer(value=1)
    var1=tf.get_variable(name='var1',shape=[1],dtype=tf.float32,initializer=initializer)
    var2=tf.Variable(name='var2',initial_value=[2],dtype=tf.float32)
    var21=tf.Variable(name='var2',initial_value=[2,1],dtype=tf.float32)
    var22=tf.Variable(name='var2',initial_value=[2,2],dtype=tf.float32)
    
with tf.Session() as sess:
    sess.run(tf.initialize_all_variables())
    print(var1.name)#var1:0,用tf.get_vriable创建变量，name_scope不会加上，也就是无效的
    print(sess.run(var1))
    print(var2.name)#a_name_scope/var2:0，用tf.Variable创建变量，会先检查一下有没有name_scope，有就会加上name_scope
    print(sess.run(var2))
    print(var1.name)
    print(sess.run(var21))
    print(var2.name)
    print(sess.run(var22))

使用name_scope的效果：

name_scope