• 张量-算术操作函数


    tf.add(x,y,name = None)求和函数

    示例代码如下:

    1. import tensorflow.compat.v1 as tf
    2. tf.disable_v2_behavior()
    3. x = 1
    4. y = 2
    5. a = tf.add(x,y)
    6. with tf.Session() as sess:
    7. print(sess.run(a))

    tf.subtract(x,y,name = None)减法函数

    示例代码如下:

    1. import tensorflow.compat.v1 as tf
    2. tf.disable_v2_behavior()
    3. x = 1
    4. y = 2
    5. a = tf.subtract(x,y)
    6. with tf.Session() as sess:
    7. print(sess.run(a))

    tf.multiply(x,y,name = None)乘法函数

    示例代码如下:

    1. import tensorflow.compat.v1 as tf
    2. tf.disable_v2_behavior()
    3. x = 3
    4. y = 2
    5. a = tf.multiply(x,y)
    6. with tf.Session() as sess:
    7. print(sess.run(a))

    tf.div(x,y,name = None)除法函数

    示例代码如下:

    1. import tensorflow.compat.v1 as tf
    2. tf.disable_v2_behavior()
    3. x = 6
    4. y = 2
    5. a = tf.div(x,y)
    6. with tf.Session() as sess:
    7. print(sess.run(a))

    tf.mod(x,y,name = None)取余函数

    示例代码如下:

    1. import tensorflow.compat.v1 as tf
    2. tf.disable_v2_behavior()
    3. x = 10
    4. y = 4
    5. a = tf.mod(x,y)
    6. with tf.Session() as sess:
    7. print(sess.run(a))

    tf.abs(x,name = None)求绝对值函数

    示例代码如下:

    1. import tensorflow.compat.v1 as tf
    2. tf.disable_v2_behavior()
    3. x = -10
    4. a = tf.abs(x)
    5. with tf.Session() as sess:
    6. print(sess.run(a))

    tf.negative(x,name = None)取负函数

    示例代码如下:

    1. import tensorflow.compat.v1 as tf
    2. tf.disable_v2_behavior()
    3. x = -10
    4. y = [5,6,7]
    5. a = tf.negative(x)
    6. b = tf.negative(y)
    7. with tf.Session() as sess:
    8. print(sess.run(a))
    9. print(sess.run(b))

    tf.square(x,name = None)计算平方函数

    tf.round(x,name = None)四舍五入

    tf.sqrt(x,name = None)开根号函数

    tf.pow(x,y,name = None)幂次方函数

    tf.exp(x,name = None)计算e的次方

    tf.log(x,name = None)计算log

    tf.maximum(x,y,name = None)返回最大值

    tf.minimum(x,y,name = None)返回最小值

    tf.cos(x,name = None)三角函数cosine

    tf.sin(x,name = None)三角函数sine

    tf.tan(x,name = None)三角函数tan

    tf.atan(x,name = None)三角函数ctan

    tf.sign(x,name = None),该函数用于返回输入参数x的符号。如果x小于0,返回-1,如果等于0,返回0,如果大于0,返回1。

    tf.cond(pred,true_fn = None,false_fn = None,strict = False,name = None,fn1 = None,fn2 = None),该函数用于有条件的执行函数,当pred为true时,执行true_fn函数,否则执行false_fn函数。

  • 相关阅读:
    mysql主从搭建(docker)
    大一学生WEB前端静态网页——旅游网页设计与实现-张家口 6页
    WPF中可冻结对象
    源代码防泄密
    斗鱼主播查询易语言代码
    springboot整合百度富文本编辑器ueditor实现图片上传和文件上传以及回显
    Mac安装Docker
    如何使用选择工具
    蓝桥等考Python组别十三级007
    linux环境下编译,安卓平台使用的luajit库
  • 原文地址:https://blog.csdn.net/Victor_Li_/article/details/133638936