压缩文件

import tensorflow as tf 

with tf.name_scope('name_scope'):
	ini 	= tf.constant_initializer(value=0)#用常数来初始化变量
	var1	= tf.get_variable(name='var1',shape=[1],dtype=tf.float32,initializer=ini)
	var2	= tf.Variable(	  name='var2',shape=[1],dtype=tf.float32,initial_value=[1])
	var2_1	= tf.Variable(	  name='var2',shape=[1],dtype=tf.float32,initial_value=[2])
	var2_2	= tf.Variable(	  name='var2',shape=[1],dtype=tf.float32,initial_value=[3])

with tf.Session() as sess:
	sess.run(tf.global_variables_initializer())
	print(var1.name)
	print(sess.run(var1))
	print(var2.name)
	print(sess.run(var2))
	print(var2_1.name)
	print(sess.run(var2_1))
	print(var2_2.name)
	print(sess.run(var2_2))
	

'''
var1:0
[0.]
name_scope/var2:0
[1.]
name_scope/var2_1:0
[2.]
name_scope/var2_2:0
[3.]
'''
# get_variable() 创建的变量不在scope内
# Variable() 创建的变量在scope内，重名自动加 _i

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