import tensorflow as tf
#定义变量,必须初始化
x=tf.Variable([1,2])
#定义常量
a=tf.constant([3,3])
#增加一个减法op
sub=tf.subtract(x,a)
#增加一个加法op
add=tf.add(x,sub)
#初始化所有变量
init=tf.global_variables_initializer()
with tf.Session() as sess:
sess.run(init)
print(sess.run(sub))
print(sess.run(add))
#定义变量counter，初始化为0
state=tf.Variable(0,name='counter')
#创建一个op,作用是state++
new_value=tf.add(state,1)
#赋值op,将new_value赋值给state
update=tf.assign(state,new_value)
#初始化所有变量
init=tf.global_variables_initializer()
with tf.Session() as sess:
#变量初始化
sess.run(init)
#打印state值
print(sess.run(state))
#循环5次
for _ in range(5):
#执行state的更新操作，将new_value=state+1赋值给state
sess.run(update)
#打印state
print(sess.run(state))
