1.2Tensorflow的Session操作

tf的session

#-*- coding: utf-8 -*-
# @Time    : 2017/12/21 14:56
# @Author  : Z
# @Email   : S
# @File    : 1.1session.py
#session
import tensorflow as tf
matrix1=tf.constant([[3,3]]) #1*2列
matrix2=tf.constant([[2],  #2*1列
                     [2]])
result=tf.matmul(matrix1,matrix2) #矩阵的乘法\

# print result
#方式1---直接定义
# sess=tf.Session()
# result1 =sess.run(result)
# #每次run才会执行上述的矩阵乘法结构
# print(result1)
# sess.close()

#方式2--打开了session以sess命名，不需要sess.close，执行完自动关闭
with tf.Session() as sess:
    result2=sess.run(result)
    print (result2)

 

转载于:https://www.cnblogs.com/jackchen-Net/p/8080647.html