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<p>本文记录了如何在学校机器学习平台上创建一个基于Mxnet的Sniper镜像。</p>
<a id="more"></a>
<h1 id="说明"><a href="#说明" class="headerlink" title="说明"></a>说明</h1><p>由于此镜像是用于学校机器学习平台,所以文中会出现FTP服务器等字眼,其实是在平台上使用镜像创建一个容器时,平台会<strong>自动</strong>将服务器上我所申请的文件存储区<code>mount</code>到创建的容器,我通过<code>FileZilla</code>FTP工具与在平台申请的文件存储区进行连接<br><br>本文教程虽然有了一个FTP过程,但是如果是生成本地镜像,不考虑FTP,无视文中相关部分即可</p>
<p><strong>虽然本文中写了关于压缩的相关内容,但是最终并没有使用压缩,原因是由于压缩后出现未知问题,导致在平台上创建的容器不能使用宿主机的NVIDIA驱动,并不能成功运行Demo</strong></p>
<h1 id="环境"><a href="#环境" class="headerlink" title="环境"></a>环境</h1><p>本机环境</p>
<ul>
<li>windows 10 专业版</li>
<li>docker client version 18.09.0</li>
<li>docker server version 18.09.0</li>
<li>FTP工具 FileZilla</li>
</ul>
<p>平台环境</p>
<ul>
<li>docker version 17.06.2-ce</li>
</ul>
<p>镜像环境</p>
<ul>
<li>python 2.7.12</li>
<li>CUDA version 9.0.176</li>
<li>pip 9.0.3</li>
</ul>
<p><a href="https://github.com/mahyarnajibi/SNIPER" rel="external nofollow" target="_blank">SNIPER</a><br><a href="http://10.0.4.228" rel="external nofollow" target="_blank">机器学习平台</a>,这是学校资源</p>
<h1 id="一-配置基础镜像"><a href="#一-配置基础镜像" class="headerlink" title="一 配置基础镜像"></a>一 配置基础镜像</h1><p>从学校机器学习平台上拉取原始镜像,因为这个镜像配好了一些基本的环境,如python2.x,CUDA9.0等等,所以直接使用它们的镜像作为基础镜像比较省心省力<br><code>docker pull hub.hoc.ccshu.net/ces/deepo:all-py27-jupyter-ssh</code></p>
<p>拉取到镜像之后,可以选择使用<code>Dockerfile</code>来生成我们需要的镜像,但是往往我们需要在镜像中添加许多库/包/插件,而且使用<code>Dockerfile</code>来生成镜像很容易出BUG.当然,最好的方式是使用<code>Dockerfile</code>,前提是你能确保<code>Dockerfile</code>文件中的每一行命令都不会出错.<br>在当前情况下,我选择使用从容器生成镜像的方法,这种方式会使得最终生成的镜像占内存巨大,但是可以在容器内部调试每一步配置过程.<br>使用<code>docker run -itd --name [name] hub.hoc.ccshu.net/ces/deepo:all-py27-jupyter-ssh</code>开启一个容器</p>
<p>使用<code>docker ps -a</code>查看正在运行的容器<code>ID</code></p>
<p>使用<code>docker exec -it [name] /bin/bash</code>进入容器</p>
<p>在容器中使用<code>cat /etc/issue</code>命令查看容器的操作系统版本</p>
<p>结果输出: <code>Ubuntu 16.04.4 LTS \n \l</code></p>
<h2 id="安装-apt-file"><a href="#安装-apt-file" class="headerlink" title="安装 apt-file"></a>安装 apt-file</h2><p>安装<code>apt-file</code></p>
<p><code>apt-get install apt-file -y</code></p>
<p>出现错误:</p>
<p><img src="./create-sniper-docker-image/Snipaste_2019-01-03_08-30-41.png" alt=""></p>
<p>使用<code>apt-get install apt-file -y --fix-missing</code>同样不能解决问题</p>
<p>考虑<strong>换源</strong></p>
<p><code>cp /etc/apt/sources.list /etc/apt/sources.list.bak</code>备份系统原有的源</p>
<p>安装Linux下的文本编辑器<code>nano</code>,执行命令<code>apt-get install nano -y</code><br>安装<code>nano</code>成功后,执行<code>nano /etc/apt/sources.list</code>修改源文件<br>在打开的文件中,将内容替换为<br><figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br><span class="line">18</span><br></pre></td><td class="code"><pre><span class="line"># deb cdrom:[Ubuntu 16.04 LTS _Xenial Xerus_ - Release amd64 (20160420.1)]/ xenial main restricted</span><br><span class="line">deb-src http://archive.ubuntu.com/ubuntu xenial main restricted #Added by software-properties</span><br><span class="line">deb http://mirrors.aliyun.com/ubuntu/ xenial main restricted</span><br><span class="line">deb-src http://mirrors.aliyun.com/ubuntu/ xenial main restricted multiverse universe #Added by software-properties</span><br><span class="line">deb http://mirrors.aliyun.com/ubuntu/ xenial-updates main restricted</span><br><span class="line">deb-src http://mirrors.aliyun.com/ubuntu/ xenial-updates main restricted multiverse universe #Added by software-properties</span><br><span class="line">deb http://mirrors.aliyun.com/ubuntu/ xenial universe</span><br><span class="line">deb http://mirrors.aliyun.com/ubuntu/ xenial-updates universe</span><br><span class="line">deb http://mirrors.aliyun.com/ubuntu/ xenial multiverse</span><br><span class="line">deb http://mirrors.aliyun.com/ubuntu/ xenial-updates multiverse</span><br><span class="line">deb http://mirrors.aliyun.com/ubuntu/ xenial-backports main restricted universe multiverse</span><br><span class="line">deb-src http://mirrors.aliyun.com/ubuntu/ xenial-backports main restricted universe multiverse #Added by software-properties</span><br><span class="line">deb http://archive.canonical.com/ubuntu xenial partner</span><br><span class="line">deb-src http://archive.canonical.com/ubuntu xenial partner</span><br><span class="line">deb http://mirrors.aliyun.com/ubuntu/ xenial-security main restricted</span><br><span class="line">deb-src http://mirrors.aliyun.com/ubuntu/ xenial-security main restricted multiverse universe #Added by software-properties</span><br><span class="line">deb http://mirrors.aliyun.com/ubuntu/ xenial-security universe</span><br><span class="line">deb http://mirrors.aliyun.com/ubuntu/ xenial-security multiverse</span><br></pre></td></tr></table></figure></p>
<p>这里使用的源是阿里的镜像站,也可以使用网易163的,源如下:<br><figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br></pre></td><td class="code"><pre><span class="line">deb http://mirrors.163.com/ubuntu/ xenial main restricted universe multiverse</span><br><span class="line">deb http://mirrors.163.com/ubuntu/ xenial-security main restricted universe multiverse</span><br><span class="line">deb http://mirrors.163.com/ubuntu/ xenial-updates main restricted universe multiverse</span><br><span class="line">deb http://mirrors.163.com/ubuntu/ xenial-proposed main restricted universe multiverse</span><br><span class="line">deb http://mirrors.163.com/ubuntu/ xenial-backports main restricted universe multiverse</span><br><span class="line">deb-src http://mirrors.163.com/ubuntu/ xenial main restricted universe multiverse</span><br><span class="line">deb-src http://mirrors.163.com/ubuntu/ xenial-security main restricted universe multiverse</span><br><span class="line">deb-src http://mirrors.163.com/ubuntu/ xenial-updates main restricted universe multiverse</span><br><span class="line">deb-src http://mirrors.163.com/ubuntu/ xenial-proposed main restricted universe multiverse</span><br><span class="line">deb-src http://mirrors.163.com/ubuntu/ xenial-backports main restricted universe multiverse</span><br></pre></td></tr></table></figure></p>
<p>更改好源文件后,执行<code>sudo apt-get update</code>更新源</p>
<p>再次执行<code>apt-get install apt-file -y</code>,可以成功安装<code>apt-file</code>包</p>
<p>之后执行<code>apt-file update</code>更新apt-file cache<br>使用<code>apt-file find [name]</code>可以查找计算机上文件的位置,很方便<br>使用<code>apt-file search [name]</code>可以搜索缺少的库,解决文件缺失依赖<br>选择好自己需要的包,然后使用<code>apt-get install [name]</code>即可</p>
<ul>
<li>如果需要把镜像上传到云上使用,有可能需要网络服务,</li>
<li>执行<code>apt-get install net-tools</code>安装ifconfig</li>
<li>执行<code>apt-get install iputils-ping</code>安装ping</li>
</ul>
<p>此时为了避免诸如使用<code>ping [IP]</code>有效,但是<code>ping [HOST]</code>无效的情况,需要使用<code>nano /etc/resolv.conf</code>修改配置文件<br>将<code>namespace</code>后的IP地址更改为<code>8.8.8.8</code>或者<code>4.4.4.4</code><br><em>或者使用<code>echo "nameserver 114.114.114.114 > /etc/resolv.conf"</code>也可以</em><br>退出保存即可</p>
<p><em>有可能上述修改DNS的方式并不成功,原因是在云上运行容器时,配置文件自动修改,如果发生这种情况,请每次在新开一个容器时,手动修改配置文件的DNS服务器,使其可以使用网络服务</em></p>
<h1 id="二-安装编译依赖各种包"><a href="#二-安装编译依赖各种包" class="headerlink" title="二 安装编译依赖各种包"></a>二 安装编译依赖各种包</h1><p>在电脑上空闲的地方,从Github拉取Sniper项目</p>
<p><code>git clone --recursive https://github.com/mahyarnajibi/SNIPER.git</code></p>
<ul>
<li><p>因为我是在学校机器学习平台上运行docker容器,所以选择直接将clone下的文件上传至容器<code>mount</code>的ftp服务器,使用的软件是<code>FileZilla</code></p>
</li>
<li><p>上传成功后可以在容器内通过<code>cd /data/[file or folder name]</code>进行访问</p>
</li>
</ul>
<p>如果要在本地镜像内操作的话,也可以直接把本机文件或文件夹拷贝过去<br><code>docker cp 本地文件路径 ID全称:容器路径</code></p>
<hr>
<p><code>cd /data/SNIPER/SNIPER-mxnet</code><br><code>make USE_CUDA_PATH=/usr/local/cuda-9.0</code><br>输出信息:<br><img src="./create-sniper-docker-image/Snipaste_2019-01-03_09-42-07.png" alt=""></p>
<h2 id="安装-jemalloc"><a href="#安装-jemalloc" class="headerlink" title="安装 jemalloc"></a>安装 jemalloc</h2><p>选择安装<code>jemalloc</code>,这个工具可以加速编译,碎片整理,具体请自行谷歌</p>
<ul>
<li><code>apt-get install autoconf</code></li>
<li><code>apt-get install automake</code></li>
<li><code>apt-get install libtool</code></li>
<li><code>git clone https://github.com/jemalloc/jemalloc.git</code></li>
<li><code>cd jemalloc</code></li>
<li><code>git checkout 4.5.0</code>安装4.5.0版本的jemalloc,5.x版本的有坑,深坑</li>
<li><code>./autogen.sh</code></li>
<li><code>make</code></li>
<li><code>make install_bin install_include install_lib</code>,之所以不使用<code>make install</code>是因为会报错,如下: <img src="./create-sniper-docker-image/Snipaste_2019-01-03_09-56-41.png" alt=""></li>
</ul>
<p>切换至<code>SNIPER-mxnet</code>文件夹,再次<code>make USE_CUDA_PATH=/usr/local/cuda-9.0</code><br>虽然可以编译,但是有以下信息:<br><img src="./create-sniper-docker-image/Snipaste_2019-01-03_10-03-30.png" alt=""><br>强迫症必须搞定它,果断<code>ctrl+c</code>终止编译</p>
<h2 id="安装-pkg-config"><a href="#安装-pkg-config" class="headerlink" title="安装 pkg-config"></a>安装 pkg-config</h2><ul>
<li>打开<a href="https://pkg-config.freedesktop.org/releases/" rel="external nofollow" target="_blank">https://pkg-config.freedesktop.org/releases/</a></li>
<li>下载最新的,现在看到的是<code>pkg-config-0.29.2.tar.gz</code></li>
<li>下载好之后,通过<code>FileZilla</code>等工具传输到FTP服务器</li>
<li>在容器内<code>cd</code>到压缩包位置</li>
<li><code>tar -xf pkg-config-0.29.2.tar.gz</code></li>
<li><code>cd pkg-config-0.29.2</code></li>
<li><code>./configure --with-internal-glib</code>,注意,中间是一个空格,非常关键</li>
<li><code>make && make install</code><br><img src="./create-sniper-docker-image/Snipaste_2019-01-03_10-11-01.png" alt=""></li>
</ul>
<p>再次<code>make USE_CUDA_PATH=/usr/local/cuda-9.0</code><br>算了，还是安装一下cudnn吧</p>
<h2 id="安装-cudnn7-0"><a href="#安装-cudnn7-0" class="headerlink" title="安装 cudnn7.0"></a>安装 cudnn7.0</h2><ul>
<li><a href="https://developer.nvidia.com/rdp/cudnn-archive" rel="external nofollow" target="_blank">https://developer.nvidia.com/rdp/cudnn-archive</a> 下载cuDNN Libraries for Linux,不要下载 Power 8</li>
<li>把下载好的包上传到FTP服务器</li>
<li><code>cd</code>到包位置</li>
<li><code>cp cudnn-9.0-linux-x64-v7.solitairetheme8 cudnn-9.0-linux-x64-v7.tgz</code></li>
<li><code>tar -xvf cudnn-9.0-linux-x64-v7.tgz</code></li>
<li><code>cp include/* /usr/local/cuda-9.0/include</code></li>
<li><code>cp lib64/* /usr/local/cuda-9.0/lib64</code></li>
<li><code>chmod a+r /usr/local/cuda-9.0/include/cudnn.h /usr/local/cuda-9.0/lib64/libcudnn*</code></li>
<li><code>export PATH=/usr/local/cuda-9.0/bin:$PATH</code></li>
<li><code>cd</code>到<code>/usr/local/cuda-9.0/lib64</code></li>
<li><code>nano ~/.bashrc</code>,关联环境变量</li>
<li>在最后一行加入<code>export LD_LIBRARY_PATH=/home/cuda/lib64:$LD_LIBRARY_PATH</code></li>
<li><code>source ~/.bashrc</code></li>
<li><code>ldconfig -v</code></li>
<li>使用<code>cat /usr/local/cuda-9.0/include/cudnn.h | grep CUDNN_MAJOR -A 2</code> 查看cudnn版本<br><img src="./create-sniper-docker-image/Snipaste_2019-01-03_10-56-08.png" alt=""></li>
</ul>
<h2 id="安装-OpenCV"><a href="#安装-OpenCV" class="headerlink" title="安装 OpenCV"></a>安装 OpenCV</h2><ul>
<li>使用<code>pkg-config opencv --modversion</code>查看</li>
<li>发现已经有OpenCV<br><img src="./create-sniper-docker-image/Snipaste_2019-01-03_10-57-56.png" alt=""></li>
</ul>
<h2 id="安装-OpenBLAS"><a href="#安装-OpenBLAS" class="headerlink" title="安装 OpenBLAS"></a>安装 OpenBLAS</h2><ul>
<li><code>apt-get install libopenblas-dev</code></li>
</ul>
<h2 id="编译-Mxnet"><a href="#编译-Mxnet" class="headerlink" title="编译 Mxnet"></a>编译 Mxnet</h2><p><code>make USE_CUDA_PATH=/usr/local/cuda-9.0</code><br><img src="./create-sniper-docker-image/Snipaste_2019-01-03_13-49-28.png" alt=""></p>
<p><strong>心好累,总共make了将近两个半小时</strong></p>
<p>编译<code>c++</code>文件<code>bash scripts/compile.sh</code><br>这一步一定要在<code>/SNIPER/</code>文件夹下,不然贼坑,绝对不要<code>cd</code>到<code>/SNIPER/scripts</code>文件夹下再<code>bash compile.sh</code>,因为代码内有<code>cd lib/nms</code>等,如果不在<code>/SNIPER</code>文件夹下,会找不到文件</p>
<p>如果出现<code>syntax error near unexpected token</code>$’\r’’<code>错误,可以使用</code>sed<code>命令将</code>\r<code>去掉,或者是在[Github](https://github.com/mahyarnajibi/SNIPER/blob/master/scripts/compile.sh)上将代码复制,使用</code>nano<code>编辑然后粘贴
可以使用</code>cat -v [filename]<code>查看
![]./create-sniper-docker-image/Snipaste_2019-01-03_16-33-27.png)
以</code>^M<code>结尾的代表你所处理的文件换行符是dos格式的</code>“\r\n”`</p>
<p>我选择第二种笨方法,因为涉及的代码并不多</p>
<p>执行结果:<br><img src="./create-sniper-docker-image/Snipaste_2019-01-03_16-24-49.png" alt=""></p>
<h2 id="安装-dos2unix"><a href="#安装-dos2unix" class="headerlink" title="安装 dos2unix"></a>安装 dos2unix</h2><p>由于发现这种简单的复制粘贴方式并不能很好的解决,所以查了一些<a href="https://blog.csdn.net/lovelovelovelovelo/article/details/79239068" rel="external nofollow" target="_blank">相关资料</a><br>选择使用<code>dos2unix</code>来转换</p>
<ul>
<li><code>apt-get install dos2unix</code></li>
<li><code>dos2unix [filename]</code></li>
</ul>
<p><img src="./create-sniper-docker-image/Snipaste_2019-01-03_16-40-53.png" alt=""><br>问题解决啦</p>
<h2 id="安装依赖"><a href="#安装依赖" class="headerlink" title="安装依赖"></a>安装依赖</h2><p>在<code>/SNIPER/</code>文件夹下<code>pip install -r requirements.txt</code><br>一定要确保镜像内可以联网</p>
<p><img src="./create-sniper-docker-image/Snipaste_2019-01-03_16-29-58.png" alt=""></p>
<h2 id="测试Demo"><a href="#测试Demo" class="headerlink" title="测试Demo"></a>测试Demo</h2><ul>
<li><code>bash download_sniper_detector.sh</code>,download_sniper_detector.sh<br>文件在<code>/SNIPER/scripts</code>文件夹下<br><img src="./create-sniper-docker-image/Snipaste_2019-01-03_16-44-22.png" alt=""></li>
<li><code>cd .. && python demo.py</code><br><img src="./create-sniper-docker-image/Snipaste_2019-01-03_17-05-30.png" alt=""></li>
</ul>
<p><strong>运行成功!!!</strong></p>
<h1 id="三-生成镜像"><a href="#三-生成镜像" class="headerlink" title="三 生成镜像"></a>三 生成镜像</h1><ul>
<li>使用<code>exit</code>退出容器</li>
<li>使用<code>docker ps -a</code>查看容器ID</li>
<li>使用<code>docker stop [ID]</code>停止容器</li>
<li>使用<code>docker commit -a "作者信息" -m "附带信息" [ID] [name]:[tag]</code>生成镜像,会返回一个<code>sha256</code>开头的长ID,这个就是生成的镜像ID</li>
<li>使用<code>docker images</code>查看生成的镜像</li>
<li>如果需要的话,使用<code>docker push [name]:[tag]</code>将刚刚生成的镜像推送到云上</li>
</ul>
<h1 id="四-压缩镜像"><a href="#四-压缩镜像" class="headerlink" title="四 压缩镜像"></a>四 压缩镜像</h1><p><strong>压缩镜像非常麻烦,但是也是有方法的,目前大概三种方法</strong></p>
<ol>
<li>使用<code>Dockerfile</code>生成镜像</li>
<li>这种方法需要让容器在运行状态,使用<code>docker export [ID] | docker import - [name]:[tag]</code>导出容器快照,并从快照生成镜像,这种方式可以大大压缩镜像,但是缺点是有可能会使得镜像中的环境变量、开放端口、默认进入命令改变或消失.使用这种方式时,最好在生成镜像之后,创建一个<code>Dockerfile</code>文件,<code>From</code>这个镜像,并添加端口和命令入口</li>
<li>使用<code>docker-squash</code>压缩镜像,这个方法适用于Linux和Mac系统</li>
</ol>
<p>目前可以运行的镜像是13.6G<br><img src="./create-sniper-docker-image/Snipaste_2019-01-03_17-12-36.png" alt=""><br><code>hub.hoc.ccshu.net/wjs/sniper:v1.1</code><br>现在要对它进行压缩</p>
<h2 id="第一步-移除镜像内的SNIPER文件夹-把其放到FTP服务器上去"><a href="#第一步-移除镜像内的SNIPER文件夹-把其放到FTP服务器上去" class="headerlink" title="第一步,移除镜像内的SNIPER文件夹,把其放到FTP服务器上去"></a>第一步,移除镜像内的SNIPER文件夹,把其放到FTP服务器上去</h2><ul>
<li>开启一个容器<code>docker run -itd --name [name] [id]</code></li>
<li>复制容器内文件到本地<code>docker cp [长ID]:[容器内路径] [本地路径]</code>,将放置在本地的文件夹上传至FTP服务器</li>
<li>进入容器<code>docker exec -it [name] /bin/bash</code></li>
<li>删除容器内文件夹<code>/SNIPER/</code>,使用<code>rm -rf SNIPER</code>,<strong>一定要小心使用</strong></li>
<li>退出容器<code>exit</code></li>
</ul>
<h2 id="第二步-压缩镜像"><a href="#第二步-压缩镜像" class="headerlink" title="第二步,压缩镜像"></a>第二步,压缩镜像</h2><p>压缩容器<br><code>docker export [ID] | docker import - [name]:[tag]</code></p>
<p>可以看到,镜像体积少了大约2个G<br><img src="./create-sniper-docker-image/Snipaste_2019-01-03_17-39-07.png" alt=""></p>
<p>由于使用这种方法会使得镜像丢失部分信息,所以,创建一个新的<code>Dockerfile</code>,在其中添加缺失的信息</p>
<h2 id="第三步-完善镜像"><a href="#第三步-完善镜像" class="headerlink" title="第三步,完善镜像"></a>第三步,完善镜像</h2><p>在任意位置新建<code>Dockerfile</code><br>输入<br><figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br></pre></td><td class="code"><pre><span class="line">FROM [name]:[tag]</span><br><span class="line">EXPOSE 22</span><br><span class="line">ENTRYPOINT ["/usr/sbin/sshd","-D"]</span><br></pre></td></tr></table></figure></p>
<p><img src="./create-sniper-docker-image/Snipaste_2019-01-03_18-08-49.png" alt=""></p>
<p>然后<code>docker build -t [name]:[tag] .</code>,不要忘了最后的<code>.</code></p>
<h2 id="第四步-Push"><a href="#第四步-Push" class="headerlink" title="第四步 Push"></a>第四步 Push</h2><p><code>docker push [name]:[tag]</code></p>
<p>至此,所有配置以及完成<br>镜像在<code>hoc.hoc.ccshu.net</code>的私有仓库里<br>SNIPER文件夹放置在机器学习平台服务器<code>mount</code>的目录里</p>
<h1 id="五-测试"><a href="#五-测试" class="headerlink" title="五 测试"></a>五 测试</h1><ul>
<li><p>在平台上创建容器<br><img src="./create-sniper-docker-image/Snipaste_2019-01-03_18-11-49.png" alt=""></p>
</li>
<li><p>耐心等待创建完成<br><img src="./create-sniper-docker-image/Snipaste_2019-01-03_18-14-21.png" alt=""></p>
</li>
<li><p>创建成功<br><img src="./create-sniper-docker-image/Snipaste_2019-01-03_18-20-07.png" alt=""></p>
</li>
<li><p>测试结果<br><img src="./create-sniper-docker-image/Snipaste_2019-01-03_18-31-16.png" alt=""><br><strong>测试失败</strong></p>
</li>
</ul>
<p><strong>但是,使用未压缩的镜像测试成功</strong></p>
</div>
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<div style="text-align:center;color: #ccc;font-size:14px;">-------------本文结束<i class="fa fa-heart"></i>感谢您的阅读-------------</div>
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<p><span>本文标题:</span><a href="/create-sniper-docker-image.html">Build一个基于Mxnet的Sniper镜像</a></p>
<p><span>文章作者:</span><a href="/" title="访问 Keavnn 的个人博客">Keavnn</a></p>
<p><span>发布时间:</span>2019年01月02日 - 21:01</p>
<p><span>最后更新:</span>2019年05月13日 - 22:05</p>
<p><span>原始链接:</span><a href="/create-sniper-docker-image.html" title="Build一个基于Mxnet的Sniper镜像">http://StepNeverStop.github.io/create-sniper-docker-image.html</a>
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<div class="post-toc-content"><ol class="nav"><li class="nav-item nav-level-1"><a class="nav-link" href="#说明"><span class="nav-number">1.</span> <span class="nav-text">说明</span></a></li><li class="nav-item nav-level-1"><a class="nav-link" href="#环境"><span class="nav-number">2.</span> <span class="nav-text">环境</span></a></li><li class="nav-item nav-level-1"><a class="nav-link" href="#一-配置基础镜像"><span class="nav-number">3.</span> <span class="nav-text">一 配置基础镜像</span></a><ol class="nav-child"><li class="nav-item nav-level-2"><a class="nav-link" href="#安装-apt-file"><span class="nav-number">3.1.</span> <span class="nav-text">安装 apt-file</span></a></li></ol></li><li class="nav-item nav-level-1"><a class="nav-link" href="#二-安装编译依赖各种包"><span class="nav-number">4.</span> <span class="nav-text">二 安装编译依赖各种包</span></a><ol class="nav-child"><li class="nav-item nav-level-2"><a class="nav-link" href="#安装-jemalloc"><span class="nav-number">4.1.</span> <span class="nav-text">安装 jemalloc</span></a></li><li class="nav-item nav-level-2"><a class="nav-link" href="#安装-pkg-config"><span class="nav-number">4.2.</span> <span class="nav-text">安装 pkg-config</span></a></li><li class="nav-item nav-level-2"><a class="nav-link" href="#安装-cudnn7-0"><span class="nav-number">4.3.</span> <span class="nav-text">安装 cudnn7.0</span></a></li><li class="nav-item nav-level-2"><a class="nav-link" href="#安装-OpenCV"><span class="nav-number">4.4.</span> <span class="nav-text">安装 OpenCV</span></a></li><li class="nav-item nav-level-2"><a class="nav-link" href="#安装-OpenBLAS"><span class="nav-number">4.5.</span> <span class="nav-text">安装 OpenBLAS</span></a></li><li class="nav-item nav-level-2"><a class="nav-link" href="#编译-Mxnet"><span class="nav-number">4.6.</span> <span class="nav-text">编译 Mxnet</span></a></li><li class="nav-item nav-level-2"><a class="nav-link" href="#安装-dos2unix"><span class="nav-number">4.7.</span> <span class="nav-text">安装 dos2unix</span></a></li><li class="nav-item nav-level-2"><a class="nav-link" href="#安装依赖"><span class="nav-number">4.8.</span> <span class="nav-text">安装依赖</span></a></li><li class="nav-item nav-level-2"><a class="nav-link" href="#测试Demo"><span class="nav-number">4.9.</span> <span class="nav-text">测试Demo</span></a></li></ol></li><li class="nav-item nav-level-1"><a class="nav-link" href="#三-生成镜像"><span class="nav-number">5.</span> <span class="nav-text">三 生成镜像</span></a></li><li class="nav-item nav-level-1"><a class="nav-link" href="#四-压缩镜像"><span class="nav-number">6.</span> <span class="nav-text">四 压缩镜像</span></a><ol class="nav-child"><li class="nav-item nav-level-2"><a class="nav-link" href="#第一步-移除镜像内的SNIPER文件夹-把其放到FTP服务器上去"><span class="nav-number">6.1.</span> <span class="nav-text">第一步,移除镜像内的SNIPER文件夹,把其放到FTP服务器上去</span></a></li><li class="nav-item nav-level-2"><a class="nav-link" href="#第二步-压缩镜像"><span class="nav-number">6.2.</span> <span class="nav-text">第二步,压缩镜像</span></a></li><li class="nav-item nav-level-2"><a class="nav-link" href="#第三步-完善镜像"><span class="nav-number">6.3.</span> <span class="nav-text">第三步,完善镜像</span></a></li><li class="nav-item nav-level-2"><a class="nav-link" href="#第四步-Push"><span class="nav-number">6.4.</span> <span class="nav-text">第四步 Push</span></a></li></ol></li><li class="nav-item nav-level-1"><a class="nav-link" href="#五-测试"><span class="nav-number">7.</span> <span class="nav-text">五 测试</span></a></li></ol></div>
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