<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[Splend520的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/Splend520</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; Splend520]]></copyright><item><title><![CDATA[Exsi上ubuntu虚拟机显卡tesla p100 驱动和cuda踩坑。]]></title><link>https://blog.youkuaiyun.com/Splend520/article/details/108412670</link><guid>https://blog.youkuaiyun.com/Splend520/article/details/108412670</guid><author>Splend520</author><pubDate>Fri, 04 Sep 2020 22:37:41 +0800</pubDate><description><![CDATA[## 1. 显卡直通后无法开启电源

参考https://gridforums.nvidia.com/default/topic/1037/general-discussion/esxi-6-5-tesla-m60-cant-start-vw/

在虚拟机高级选项里面添加参数

pciPassthru.use64bitMMIO = TRUEpciPassthru.64bitMMIOSizeGB = 96
#2.在能开启电源后，无法打上驱动。Unable to determine if Secure Boo.]]></description><category></category></item><item><title><![CDATA[图片转latex公式编辑（免费的mathpix接口）]]></title><link>https://blog.youkuaiyun.com/Splend520/article/details/106921368</link><guid>https://blog.youkuaiyun.com/Splend520/article/details/106921368</guid><author>Splend520</author><pubDate>Tue, 23 Jun 2020 13:21:51 +0800</pubDate><description><![CDATA[妈咪叔做了一个latex公式编辑的网站www.latexlive.com，提供latex公式补齐提示。最重要的是提供了ocr图片公式识别，后台调用的mathpix。在此分享一波。

]]></description><category></category></item><item><title><![CDATA[LVS 负载均衡 DR模式环境搭建]]></title><link>https://blog.youkuaiyun.com/Splend520/article/details/104642139</link><guid>https://blog.youkuaiyun.com/Splend520/article/details/104642139</guid><author>Splend520</author><pubDate>Wed, 04 Mar 2020 09:08:15 +0800</pubDate><description><![CDATA[1.前言
简单记录一下搭建lvs负载均衡集群的过程。
2.配置
调度器.	centos7，IP：10.0.0.100（VIP） IP：10.0.0.10
RS1.	centos7，IP：10.0.0.100（VIP）IP：10.0.0.11
RS2.	centos7，IP：10.0.0.100（VIP）IP:10.0.0.12
虚拟机IP(VIP)配置在子接口上。

3.IP配置
4.安装LVS
...]]></description><category></category></item><item><title><![CDATA[linux LVS负载均衡原理 NAT DR TUN FULLNAT 模式]]></title><link>https://blog.youkuaiyun.com/Splend520/article/details/104587149</link><guid>https://blog.youkuaiyun.com/Splend520/article/details/104587149</guid><author>Splend520</author><pubDate>Tue, 03 Mar 2020 21:55:47 +0800</pubDate><description><![CDATA[原文：https://blog.youkuaiyun.com/lcl_xiaowugui/article/details/81701949

            
                            
                    
                    
                        
                    
     ...]]></description><category></category></item><item><title><![CDATA[Torch Fails to build against CUDA 10]]></title><link>https://blog.youkuaiyun.com/Splend520/article/details/100169728</link><guid>https://blog.youkuaiyun.com/Splend520/article/details/100169728</guid><author>Splend520</author><pubDate>Sat, 31 Aug 2019 10:17:20 +0800</pubDate><description><![CDATA[Please set them or make sure they are set and tested correctly in the CMake files:
CUDA_cublas_LIBRARY (ADVANCED)
linked by target “THC” in directory /root/torch/extra/cutorch/lib/THC
CUDA_cublas_devi...]]></description><category></category></item><item><title><![CDATA[SpringBoot Hadoop HDFS目录文件下载]]></title><link>https://blog.youkuaiyun.com/Splend520/article/details/99345766</link><guid>https://blog.youkuaiyun.com/Splend520/article/details/99345766</guid><author>Splend520</author><pubDate>Mon, 12 Aug 2019 22:10:27 +0800</pubDate><description><![CDATA[@RequestMapping(value = "/downDir", method = {RequestMethod.POST, RequestMethod.GET})
    public ResponseEntity&lt;byte[]&gt; downDir(@RequestParam("dirPath") String dirPath, HttpServletRequest r...]]></description><category></category></item><item><title><![CDATA[ByteArrayInputStream和ByteArrayOutputStream 避免创建临时文件]]></title><link>https://blog.youkuaiyun.com/Splend520/article/details/99344412</link><guid>https://blog.youkuaiyun.com/Splend520/article/details/99344412</guid><author>Splend520</author><pubDate>Mon, 12 Aug 2019 21:57:37 +0800</pubDate><description><![CDATA[由于文件存在hadoop的服务器上，必须从hadoop上下载，但是不想后台创建一个临时文件存储一份，再返回给前端，而是直接从hadoop文件系统上取得的文件流，直接返回给前端。网上查了一些资料，InputStream，OutputStream都是要有File才能创建，经过一番的查找，有一个叫ByteArrayInputStream和ByteArrayOutputStream，这两个是开辟内存区域进...]]></description><category></category></item><item><title><![CDATA[because cuDNN failed to initialize Tensorflow 显存分配。]]></title><link>https://blog.youkuaiyun.com/Splend520/article/details/98094822</link><guid>https://blog.youkuaiyun.com/Splend520/article/details/98094822</guid><author>Splend520</author><pubDate>Thu, 01 Aug 2019 19:36:31 +0800</pubDate><description><![CDATA[在运行tensorflow的时候碰到这种问题，由于tensorflow默认是占用GPU所有的显存。有时候就会出现这样的问题。可以通过设置GPU显存分配来解决这个问题。
tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
(0) Unknown: Failed to get convolution ...]]></description><category></category></item><item><title><![CDATA[对抗样本 FGSM 算法代码实现 Adversarial Examples Keras Tensorflow实现]]></title><link>https://blog.youkuaiyun.com/Splend520/article/details/97644203</link><guid>https://blog.youkuaiyun.com/Splend520/article/details/97644203</guid><author>Splend520</author><pubDate>Mon, 29 Jul 2019 15:36:29 +0800</pubDate><description><![CDATA[由于最近搞这方面都没咋找到FGSM算法的实现，然后最近在学长的帮助下，用tensorflow实现了一个mnist的对抗样本生成。总共实现了两个版本，FGSM和迭代版本的FGSM。
具体的细节介绍可以看这篇文章：
https://blog.youkuaiyun.com/qq_16234613/article/details/79679393
1.mnist模型
mnist.py
# coding: utf-8
...]]></description><category></category></item><item><title><![CDATA[python numpy list 多维度数组保存和读取恢复]]></title><link>https://blog.youkuaiyun.com/Splend520/article/details/97614848</link><guid>https://blog.youkuaiyun.com/Splend520/article/details/97614848</guid><author>Splend520</author><pubDate>Sun, 28 Jul 2019 15:36:09 +0800</pubDate><description><![CDATA[一、numpy自带的方式保存数组到文件（麻烦）。
import numpy as np

# Generate some test data
data = np.arange(200).reshape((4, 5, 10))

# Write the array to disk
with open('test.txt', 'w') as outfile:
    # I'm writing a h...]]></description><category></category></item><item><title><![CDATA[Linux iptables和netfilter 网络防火墙流程详解]]></title><link>https://blog.youkuaiyun.com/Splend520/article/details/97389896</link><guid>https://blog.youkuaiyun.com/Splend520/article/details/97389896</guid><author>Splend520</author><pubDate>Fri, 26 Jul 2019 14:42:00 +0800</pubDate><description><![CDATA[下面四个篇都是讲解 linux下的iptables使用和netfilter模块工作流程的，写的都比较好，收藏一下。
https://blog.youkuaiyun.com/wzsalan/article/details/79825977
http://www.zsythink.net/archives/1199/
https://www.cnblogs.com/whych/p/9147900.html
htt...]]></description><category></category></item><item><title><![CDATA[C++ 拷贝构造和赋值构造示例]]></title><link>https://blog.youkuaiyun.com/Splend520/article/details/97294943</link><guid>https://blog.youkuaiyun.com/Splend520/article/details/97294943</guid><author>Splend520</author><pubDate>Thu, 25 Jul 2019 20:34:02 +0800</pubDate><description><![CDATA[一开始，对这些拷贝构造，赋值构造也是很迷，然后就把这些常见的总结到一起，进行对比。希望对各位有些帮助。
#include &lt;iostream&gt;
using namespace std;
class A
{
  public:
    A() { cout &lt;&lt; "A default constructor" &lt;&lt; endl; }

    A(const A &...]]></description><category></category></item><item><title><![CDATA[Ubuntu 16.04 编译安装opencv 3.4.6过程和 anaconda3/lib/libtiff.so.5: undefined reference to `ZSTD_freeCStre]]></title><link>https://blog.youkuaiyun.com/Splend520/article/details/97270438</link><guid>https://blog.youkuaiyun.com/Splend520/article/details/97270438</guid><author>Splend520</author><pubDate>Thu, 25 Jul 2019 16:43:07 +0800</pubDate><description><![CDATA[1.到https://opencv.org/releases/下载源码 opencv-3.4.6.zip
2.安装必要的依赖库和包
sudo apt-get install cmake # 安装cmake
sudo apt-get install build-essential libgtk2.0-dev libavcodec-dev libavformat-dev libjpeg.dev lib...]]></description><category></category></item><item><title><![CDATA[linux gcc编译环境变量和动态库路径问题浅析以及LD_LIBRARY_PATH和LIBRARY_PATH区别]]></title><link>https://blog.youkuaiyun.com/Splend520/article/details/97259188</link><guid>https://blog.youkuaiyun.com/Splend520/article/details/97259188</guid><author>Splend520</author><pubDate>Thu, 25 Jul 2019 14:46:25 +0800</pubDate><description><![CDATA[1.头文件搜索顺序：

①先搜索当前目录
②然后搜索-I指定的目录
③再搜索gcc的环境变量CPLUS_INCLUDE_PATH（C程序使用的是C_INCLUDE_PATH）
④最后搜索gcc的内定目录
/usr/include
/usr/local/include
/usr/lib/gcc/x86_64-redhat-Linux/4.1.1/include

2.库文件搜索顺序：

编译的时候：...]]></description><category></category></item><item><title><![CDATA[git使用教程]]></title><link>https://blog.youkuaiyun.com/Splend520/article/details/95501966</link><guid>https://blog.youkuaiyun.com/Splend520/article/details/95501966</guid><author>Splend520</author><pubDate>Thu, 11 Jul 2019 18:11:57 +0800</pubDate><description><![CDATA[史上最详细git教程题外话虽然这个标题很惊悚，不过还是把你骗进来了，哈哈～各位看官不要着急，耐心往下看...]]></description><category></category></item><item><title><![CDATA[ubuntu 16.04 Titanxp 安装cuda10.0 cudnn7.6 环境]]></title><link>https://blog.youkuaiyun.com/Splend520/article/details/95486085</link><guid>https://blog.youkuaiyun.com/Splend520/article/details/95486085</guid><author>Splend520</author><pubDate>Thu, 11 Jul 2019 16:46:28 +0800</pubDate><description><![CDATA[记录一下装的过程：

1.装显卡驱动，到https://www.nvidia.com/Download/index.aspx下载相应的驱动。并且查看你要装的cuda版本和驱动对应的关系

cuda和驱动版本要求：https://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html这上面有对应的关系。


a. 检测相应的内核文件,...]]></description><category></category></item><item><title><![CDATA[Linux bash的快捷键 提高效率]]></title><link>https://blog.youkuaiyun.com/Splend520/article/details/95483228</link><guid>https://blog.youkuaiyun.com/Splend520/article/details/95483228</guid><author>Splend520</author><pubDate>Thu, 11 Jul 2019 15:50:33 +0800</pubDate><description><![CDATA[参考：https://linuxstory.net/mysterious-ten-operator-in-linux/zh-tw/

只是为了简化一下，做个笔记

1. 执行上一条命令：!!

2. 获取之前命令的某个参数：ls -al !cp:2 其中 !cp:2 表示cp命令的第二个参数

3.执行之前执行过的命令：!-1、!-2分别表示倒数第一条、倒数第二条命令

4.执行history显示...]]></description><category></category></item><item><title><![CDATA[浅谈Bash shell的几种运行模式和cron环境变量导致command not found]]></title><link>https://blog.youkuaiyun.com/Splend520/article/details/86573532</link><guid>https://blog.youkuaiyun.com/Splend520/article/details/86573532</guid><author>Splend520</author><pubDate>Mon, 21 Jan 2019 14:17:27 +0800</pubDate><description><![CDATA[浅谈Bash shell的几种运行模式和cron环境变量导致command not found
参考

Linux shell脚本编程大全

bash的三种运行模式：
不同模式运行，自然加载的环境变量就不同，command not found 就是因为PATH环境变量不正确导致命令找不到，由于cron是一种非登录非交互模式运行，PATH环境变量只有少量的路径
1.登录（login shell）##...]]></description><category></category></item><item><title><![CDATA[Ubuntu Server（18.04）开启路由转发搭建软路由]]></title><link>https://blog.youkuaiyun.com/Splend520/article/details/86505569</link><guid>https://blog.youkuaiyun.com/Splend520/article/details/86505569</guid><author>Splend520</author><pubDate>Wed, 16 Jan 2019 12:19:07 +0800</pubDate><description><![CDATA[1.介绍

用途：

1.通过已经拨号的机子进行上网，
2.通过USB网卡进行上网，用另外一个网卡连接需要上网的设备。


实现目标：

有两张网卡wlan0 和eth0。现在要已经通过接入internet的wlan0网卡进行上网把所有来自eth0网卡的数据包转发到wlan0通过wlan0进行internet 访问，使得接入到eth0的主机都能够上网，因为eth0只有一个网口，所以我接入了路由器，...]]></description><category></category></item><item><title><![CDATA[linpack基准测试（HPL+MKL+IMPI）安装]]></title><link>https://blog.youkuaiyun.com/Splend520/article/details/79444308</link><guid>https://blog.youkuaiyun.com/Splend520/article/details/79444308</guid><author>Splend520</author><pubDate>Wed, 07 Mar 2018 23:01:12 +0800</pubDate><description><![CDATA[参考http://blog.youkuaiyun.com/icefromair/article/details/515244761、系统环境    ubuntu server 16.04    软件：    hpl-2.2.tar.gz
l_mkl_2018.1.163.tgz
l_mpi_2018.1.163.tgz2、解压安装mkl      tar命名解压安装即可，然后进入目录，直接执行install....]]></description><category></category></item></channel></rss>