[{"createTime":1735734952000,"id":1,"img":"hwy_ms_500_252.jpeg","link":"https://activity.huaweicloud.com/cps.html?fromacct=261f35b6-af54-4511-a2ca-910fa15905d1&utm_source=V1g3MDY4NTY=&utm_medium=cps&utm_campaign=201905","name":"华为云秒杀","status":9,"txt":"华为云38元秒杀","type":1,"updateTime":1735747411000,"userId":3},{"createTime":1736173885000,"id":2,"img":"txy_480_300.png","link":"https://cloud.tencent.com/act/cps/redirect?redirect=1077&cps_key=edb15096bfff75effaaa8c8bb66138bd&from=console","name":"腾讯云秒杀","status":9,"txt":"腾讯云限量秒杀","type":1,"updateTime":1736173885000,"userId":3},{"createTime":1736177492000,"id":3,"img":"aly_251_140.png","link":"https://www.aliyun.com/minisite/goods?userCode=pwp8kmv3","memo":"","name":"阿里云","status":9,"txt":"阿里云2折起","type":1,"updateTime":1736177492000,"userId":3},{"createTime":1735660800000,"id":4,"img":"vultr_560_300.png","link":"https://www.vultr.com/?ref=9603742-8H","name":"Vultr","status":9,"txt":"Vultr送$100","type":1,"updateTime":1735660800000,"userId":3},{"createTime":1735660800000,"id":5,"img":"jdy_663_320.jpg","link":"https://3.cn/2ay1-e5t","name":"京东云","status":9,"txt":"京东云特惠专区","type":1,"updateTime":1735660800000,"userId":3},{"createTime":1735660800000,"id":6,"img":"new_ads.png","link":"https://www.iodraw.com/ads","name":"发布广告","status":9,"txt":"发布广告","type":1,"updateTime":1735660800000,"userId":3},{"createTime":1735660800000,"id":7,"img":"yun_910_50.png","link":"https://activity.huaweicloud.com/discount_area_v5/index.html?fromacct=261f35b6-af54-4511-a2ca-910fa15905d1&utm_source=aXhpYW95YW5nOA===&utm_medium=cps&utm_campaign=201905","name":"底部","status":9,"txt":"高性能云服务器2折起","type":2,"updateTime":1735660800000,"userId":3}]
<>准备阶段：
* Anaconda 3（官网下载）
* python3.x（Anaconda3自带）
* GPU（最低NVDIA GTX 650）
* tensorflow-gpu（Anaconda中安装）
* tensorflow基本语法操作
<>代码测试
写一个手动调用gpu设备的代码
# coding:utf-8 ''' ************************************************** @File
：深度学习实战[安东尼奥] -> Cap1-hello world @IDE ：PyCharm @Author ：Small_wind @Date
：2019/11/17 10:46 ************************************************** ''' import
tensorflowas tf ##1.先写个hello world测试下 message=tf.constant("hello world")#常量字符串
sess=tf.Session() print(sess.run(message)) sess.close() ##2.常量、变量 #略过
##3.调用GPU/CPU设备 c=[] with tf.device('/gpu:0'): rand_t=tf.random_uniform([50,50],
0,10,dtype=tf.float32,seed=0) a=tf.Variable(rand_t) b=tf.Variable(rand_t) c.
append(tf.matmul(a,b)) init=tf.global_variables_initializer()
#要验证Tensorflow是否确实再使用指定设备，可设置log_device_placement=True sess=tf.Session(config=tf
.ConfigProto(log_device_placement=True)) sess.run(init) print(sess.run(c)) sess.
close()
<>结果
当然，在Anaconda安装了tensorflow-gpu版本后，之后运行程序时，会自动优先调用gpu的（如果有gpu）
