Tensorflow学习：Session会话控制

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本文内容：

体会tensorflow.matmul(x,y)与numpy.dot(x,y)的内容
with tf.Session()的自动关闭功能（即with语句功能）

# -*- coding: utf-8 -*-"""Created on Wed May  3 09:18:43 2017E-mail: Eric2014_Lv@sjtu.edu.cn@author: DidiLv"""import tensorflow as tfimport numpy as np#### creat the matrix# matrix1 = [3,3]; matix2 = [2,2]'matrix1 = tf.constant([[3,3]]) matrix2 = tf.constant([[2],[2]])product1_tf = tf.matmul(matrix1, matrix2) # matrix multiply: np.dot(m1,m2)product2_tf = tf.matmul(matrix2, matrix1)product1_np = np.dot(matrix1, matrix2)product2_np = np.dot(matrix2, matrix1)## method1sess = tf.Session()result1_tf = sess.run(product1_tf)result2_tf = sess.run(product2_tf)result1_np = sess.run(product1_np)result2_np = sess.run(product2_np)sess.close()print("The tensorflow product m1xm2 is:",result1_tf)print("The tensorflow product m2xm1 is:",result2_tf)print("The tensorflow product m1xm2 is:",result1_np)print("The tensorflow product m2xm1 is:",result2_np)## method2 with tf.Session() as sess:    result1_tf = sess.run(product1_tf)    result2_tf = sess.run(product2_tf)    result1_np = sess.run(product1_np)    result2_np = sess.run(product2_np)print("The tensorflow product m1xm2 is:",result1_tf)print("The tensorflow product m2xm1 is:",result2_tf)print("The tensorflow product m1xm2 is:",result1_np)print("The tensorflow product m2xm1 is:",result2_np)

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