Tenosrflow中基本算术运算函数

Tensorflow中基本算术运算函数如下：

tf.add(x,y,name=None)     # 求和运算；

import  tensorflow as tf;
A = 5
B = 2
with tf.Session() as sess:
            print(sess.run(tf.add(A,B)))   #输出结果为7；

tf.subtract(x,y,name=None)     # 减法运算  ,tensorflow更新到1.0后，函数名发生了变化，之前函数名为tf.sub(x,y,name=None)

import  tensorflow as tf;
A = 5
B = 2
with tf.Session() as sess:
            print(sess.run(tf.subtract(A,B)))         #输出结果为3

tf.multiply(x,y,name=None)     #乘法运算   ，之前函数名为tf.mul(x,y,name=None)

import   tensorflow as tf;
A=5
B=2
with tf.Session() as sess:
                  print(sess.run(tf.multiply(A,B)))   #输出结果为10

tf.div(x,y,name=None)    #除法运算 

import tensorflow as tf;

A=5
B=2
with tf.Session() as sess:
    print(sess.run(tf.div(A,B)))  #输出结果为2

tf.mod(x,y,name=None) # 取模运算

import tensorflow as tf;
A=5
B=2
with tf.Session() as sess:
    print(sess.run(tf.mod(A,B)))   #输出结果为1

tf.abs(x,name=None) ＃求绝对值

import tensorflow as tf;
A=-5
B=2
with tf.Session() as sess:
   print(sess.run(tf.abs(A)))　　＃输出结果为５

tf.negative(x,name=None) ＃取负运算（ｙ＝－ｘ）

import tensorflow as tf;
A=-5
B=2
with tf.Session() as sess:
   print(sess.run(tf.negative(A)))　　　＃输出结果为５
   print(sess.run(tf.negative(B)))　　　＃输出结果为－２

tf.sign(x,name=None)　　　＃返回符合　ｘ大于０，则返回１，小于０，则返回－１；

import tensorflow as tf;
A=-5
B=2
with tf.Session() as sess:
   print(sess.run(tf.sign(A)))　　＃输出结果为－１
   print(sess.run(tf.sign(B)))　　＃输出结果为１

tf.reciprocal(x,name=None)　　　＃取反运算

import tensorflow as tf;
A=-5
B=1/2
with tf.Session() as sess:
    print(sess.run(tf.reciprocal(B)))　　＃输出结果为２

tf.square(x,name=None)　　　　　＃计算平方

import tensorflow as tf;
A=-5
B=1/2
with tf.Session() as sess:
    print(sess.run(tf.square(B)))＃输出结果为０.２５

tf.round(x,name=None)　　＃舍入最接近的整数

import tensorflow as tf;
A=-5.1
B=2.6
with tf.Session() as sess:
    print(sess.run(tf.round(A)))　　＃输出结果为－５
    print(sess.run(tf.round(B)))　　＃输出结果为３

tf.pow(x,y,name=None)　　＃幂次方

import tensorflow as tf;
A=[2,3]
B=2
with tf.Session() as sess:
    print(sess.run(tf.pow(A,B)))　＃输出结果为［４，９］