tensorflow--矩阵操作

import tensorflow as tf

#矩阵类型
myzero = tf.zeros([3,5])                        #定义3行5列的0矩阵
myones = tf.ones([2,3])                         #定义2行3列的矩阵
myfill = tf.fill([3,3],15)                      #定义3行3列的填充矩阵，填充值为15
myli = tf.linspace(0.0,5.,15)                   #0到5等分为15份
random_mat = tf.random_uniform([2,3],-2,5)      #定义2行3列的-2到5的随机矩阵
data1 = tf.constant([[1,3],[2,5],[3,6]])
data2 = tf.constant([[1,2]])
data3 = tf.constant([[3],[4]])
data4 = tf.constant([[2,2]])

myadd = tf.add(data2,data4)                 #矩阵加法
mymul = tf.matmul(data2,data3)              #矩阵乘法
mymultiply = tf.multiply(data2,data3)       #矩阵直接相乘
print(data1.shape)
# print(data1[0,:])
with tf.Session() as sess:
    # print(sess.run(myzero))
    # print()
    # print(sess.run(myones))
    # print()
    # print(sess.run(myfill))
    # print()
    # print(sess.run(mymul))
    # print()
    # print(sess.run(myadd))
    # print()
    # print(sess.run(mymultiply))
    # print(sess.run([mymul,myadd,mymultiply]))       #一次run多个
    # print(sess.run(myli))
    print(sess.run(random_mat))