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            <h1 id="seo-header">【记录】win10 通过 docker 调用 nvidia</h1>
            
              <p id="updated-time" class="note note-info" style="">
                
                  
                    Last updated on March 19, 2024 pm
                  
                
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              <div class="markdown-body">
                
                <h2 id="新版WSL">新版WSL</h2>
<ol>
<li>访问商店获取 <a href="https://hexo.limour.top/go/#aHR0cHM6Ly93d3cubWljcm9zb2Z0LmNvbS9zdG9yZS9wcm9kdWN0SWQvOVA5VFFGN01STTRS" rel="noopener external nofollow noreferrer">Windows Subsystem for Linux</a></li>
<li><code>wsl --version</code> 直接跳转到 <code>4. 安装 Docker</code></li>
<li><s>过时教程害人</s></li>
<li>如果已经执行了第2、3步，更新后需要再执行 <code>wsl -s docker-desktop</code> <a href="https://hexo.limour.top/go/#aHR0cHM6Ly9hc2t1YnVudHUuY29tL3F1ZXN0aW9ucy8xNDIzMDQ4L2ktYW0tZ2V0dGluZy1lcnJvci1vbi13aW5kb3dzLXN1YnN5c3RlbSM6fjp0ZXh0PUklMjB0aGluayUyMHRoaXMlMjBsaW5rJTIwbWlnaHQlMjBoZWxwLiUyME9uZSUyMGNhdXNlLHRvJTIwcmlnaHQlMjBvbmUlMjB3aXRoJTIwd3NsJTIwLXMlMjAlM0NkaXN0cm9fbmFtZSUzRSUyMGNvbW1hbmQu" rel="noopener external nofollow noreferrer">切换回正确的 distro</a></li>
<li>关闭 Hyper-V，只开启 WSL 和 虚拟化平台 两个可选功能</li>
<li><code>netsh winsock reset</code> 然后重启</li>
</ol>
<h2 id="开启-Hyper-V-by-壹佰">开启 Hyper-V by <a href="https://hexo.limour.top/go/#aHR0cHM6Ly9kZXZlbG9wZXIuYWxpeXVuLmNvbS9hcnRpY2xlLzExNDQ4MzY=" rel="noopener external nofollow noreferrer">壹佰</a></h2>
<ol>
<li>将下面内容复制到文本文件中，然后将文件命名为Hyper-V.bat，然后以管理员身份运行，运行完成后重启电脑（可能需要BIOS中开启处理器虚拟化支持）。</li>
</ol>
<figure class="highlight shell"><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></pre></td><td class="code"><pre><code class="hljs shell">pushd &quot;%~dp0&quot;<br>dir /b %SystemRoot%\servicing\Packages\*Hyper-V*.mum &gt;hyper-v.txt<br>for /f %%i in (&#x27;findstr /i . hyper-v.txt 2^&gt;nul&#x27;) do dism /online /norestart /add-package:&quot;%SystemRoot%\servicing\Packages\%%i&quot;<br>del hyper-v.txt<br>Dism /online /enable-feature /featurename:Microsoft-Hyper-V-All /LimitAccess /ALL<br></code></pre></td></tr></table></figure>
<ol start="2">
<li>使用 PowerShell 启用 Hyper-V，以管理员身份打开 PowerShell 控制台，运行以下命令：</li>
</ol>
<figure class="highlight shell"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><code class="hljs shell">Enable-WindowsOptionalFeature -Online -FeatureName Microsoft-Hyper-V -All<br></code></pre></td></tr></table></figure>
<h2 id="安装-WSL2-by-Ali7-MS">安装 WSL2 by <a href="https://hexo.limour.top/go/#aHR0cHM6Ly96aHVhbmxhbi56aGlodS5jb20vcC81OTkyODY4ODk=" rel="noopener external nofollow noreferrer">Ali7</a>&amp;<a href="https://hexo.limour.top/go/#aHR0cHM6Ly9sZWFybi5taWNyb3NvZnQuY29tL3poLWNuL3dpbmRvd3Mvd3NsL2luc3RhbGwtbWFudWFsI3N0ZXAtMy0tLWVuYWJsZS12aXJ0dWFsLW1hY2hpbmUtZmVhdHVyZQ==" rel="noopener external nofollow noreferrer">MS</a></h2>
<ol>
<li>应用商店搜索 <a href="https://hexo.limour.top/go/#aHR0cHM6Ly93d3cubWljcm9zb2Z0LmNvbS9zdG9yZS9wcm9kdWN0SWQvOVBOMjBNU1IwNERX" rel="noopener external nofollow noreferrer">Ubuntu 22.04.2 LTS</a> 并安装（可以不装）</li>
<li>开启Windows Subsystem for Linux</li>
</ol>
<figure class="highlight shell"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><code class="hljs shell">dism.exe /online /enable-feature /featurename:Microsoft-Windows-Subsystem-Linux /all /norestart<br></code></pre></td></tr></table></figure>
<ol start="3">
<li>开启虚拟机特性</li>
</ol>
<figure class="highlight shell"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><code class="hljs shell">dism.exe /online /enable-feature /featurename:VirtualMachinePlatform /all /norestart<br></code></pre></td></tr></table></figure>
<ol start="4">
<li>下载并安装 <a href="https://hexo.limour.top/go/#aHR0cHM6Ly93c2xzdG9yZXN0b3JhZ2UuYmxvYi5jb3JlLndpbmRvd3MubmV0L3dzbGJsb2Ivd3NsX3VwZGF0ZV94NjQubXNp" rel="noopener external nofollow noreferrer">WSL2更新包</a></li>
<li>将WSL2设置成默认</li>
</ol>
<figure class="highlight shell"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><code class="hljs shell">wsl --set-default-version 2<br></code></pre></td></tr></table></figure>
<ol start="6">
<li>运行商店中安装的 Ubuntu 22.04.2 LTS （可以不装）</li>
</ol>
<h2 id="安装-Docker-Desktop-by-追逐时光者">安装 Docker Desktop  by <a href="https://hexo.limour.top/go/#aHR0cHM6Ly96aHVhbmxhbi56aGlodS5jb20vcC80NDE5NjUwNDY=" rel="noopener external nofollow noreferrer">追逐时光者</a></h2>
<ol>
<li>下载 <a href="https://hexo.limour.top/go/#aHR0cHM6Ly9kZXNrdG9wLmRvY2tlci5jb20vd2luL3N0YWJsZS9hbWQ2NC9Eb2NrZXIlMjBEZXNrdG9wJTIwSW5zdGFsbGVyLmV4ZQ==" rel="noopener external nofollow noreferrer">Docker Desktop Installer</a></li>
<li>换源，在系统右下角托盘图标内右键菜单选择 Settings，打开配置窗口后左侧导航菜单选择 Docker Desktop。编辑窗口内的JSON串：</li>
</ol>
<figure class="highlight json"><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></pre></td><td class="code"><pre><code class="hljs json"><span class="hljs-punctuation">&#123;</span><br>  <span class="hljs-attr">&quot;builder&quot;</span><span class="hljs-punctuation">:</span> <span class="hljs-punctuation">&#123;</span><br>    <span class="hljs-attr">&quot;features&quot;</span><span class="hljs-punctuation">:</span> <span class="hljs-punctuation">&#123;</span><br>      <span class="hljs-attr">&quot;buildkit&quot;</span><span class="hljs-punctuation">:</span> <span class="hljs-literal"><span class="hljs-keyword">true</span></span><br>    <span class="hljs-punctuation">&#125;</span><span class="hljs-punctuation">,</span><br>    <span class="hljs-attr">&quot;gc&quot;</span><span class="hljs-punctuation">:</span> <span class="hljs-punctuation">&#123;</span><br>      <span class="hljs-attr">&quot;defaultKeepStorage&quot;</span><span class="hljs-punctuation">:</span> <span class="hljs-string">&quot;20GB&quot;</span><span class="hljs-punctuation">,</span><br>      <span class="hljs-attr">&quot;enabled&quot;</span><span class="hljs-punctuation">:</span> <span class="hljs-literal"><span class="hljs-keyword">true</span></span><br>    <span class="hljs-punctuation">&#125;</span><br>  <span class="hljs-punctuation">&#125;</span><span class="hljs-punctuation">,</span><br>  <span class="hljs-attr">&quot;experimental&quot;</span><span class="hljs-punctuation">:</span> <span class="hljs-literal"><span class="hljs-keyword">false</span></span><span class="hljs-punctuation">,</span><br>  <span class="hljs-attr">&quot;registry-mirrors&quot;</span><span class="hljs-punctuation">:</span> <span class="hljs-punctuation">[</span><br>    <span class="hljs-string">&quot;https://hub-mirror.c.163.com/&quot;</span><span class="hljs-punctuation">,</span><br>    <span class="hljs-string">&quot;https://docker.mirrors.ustc.edu.cn/&quot;</span><br>  <span class="hljs-punctuation">]</span><br><span class="hljs-punctuation">&#125;</span><br></code></pre></td></tr></table></figure>
<ol start="3">
<li>测试，Powershell 中运行 <code>docker run hello-world</code></li>
</ol>
<h2 id="调用-nvidia-by-无人知晓-bpq">调用 nvidia by <a href="https://hexo.limour.top/go/#aHR0cHM6Ly96aHVhbmxhbi56aGlodS5jb20vcC81NDMyODAxMzA=" rel="noopener external nofollow noreferrer">无人知晓</a>&amp;<a href="https://hexo.limour.top/go/#aHR0cHM6Ly96aHVhbmxhbi56aGlodS5jb20vcC82MTAzMTkzOTU=" rel="noopener external nofollow noreferrer">bpq</a></h2>
<ol>
<li>Ubuntu 22.04.2 LTS 中 运行 <code>nvidia-smi</code><br>
<img src="https://img.limour.top/2023/08/30/64ef3604b91e0.webp" srcset="https://jscdn.limour.top/gh/Limour-dev/Sakurairo_Vision/load_svg/inload.svg" lazyload alt=""></li>
<li>右键卸载 Ubuntu 22.04.2 LTS，<code>wsl -l -v</code> 保证有 docker-desktop 和 docker-desktop-data 就行</li>
<li>Powershell 中运行 <code>docker pull anibali/pytorch:2.0.0-cuda11.8-ubuntu22.04</code></li>
<li>启动容器并测试 cuda</li>
</ol>
<figure class="highlight shell"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br></pre></td><td class="code"><pre><code class="hljs shell">docker run -p 0.0.0.0:8001:8001 --rm -it --name torch --gpus all anibali/pytorch:2.0.0-cuda11.8-ubuntu22.04 /bin/bash<br>python<br></code></pre></td></tr></table></figure>
<figure class="highlight python"><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></pre></td><td class="code"><pre><code class="hljs python"><span class="hljs-keyword">import</span> torch <span class="hljs-comment"># 如果pytorch安装成功即可导入</span><br><span class="hljs-built_in">print</span>(torch.cuda.is_available()) <span class="hljs-comment"># 查看CUDA是否可用</span><br><span class="hljs-built_in">print</span>(torch.cuda.device_count()) <span class="hljs-comment"># 查看可用的CUDA数量</span><br><span class="hljs-built_in">print</span>(torch.version.cuda) <span class="hljs-comment"># 查看CUDA的版本号</span><br></code></pre></td></tr></table></figure>
<ol>
<li>测试网络访问，注意 <strong><code>-p 0.0.0.0</code></strong></li>
</ol>
<figure class="highlight apache"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><code class="hljs apache"><span class="hljs-attribute">docker</span> run -p <span class="hljs-number">0.0.0.0:8001</span>:<span class="hljs-number">8001</span> --rm -it --name torch --gpus <span class="hljs-literal">all</span> anibali/pytorch:<span class="hljs-number">2</span>.<span class="hljs-number">0</span>.<span class="hljs-number">0</span>-cuda11.<span class="hljs-number">8</span>-ubuntu22.<span class="hljs-number">04</span> python -m http.server <span class="hljs-number">8001</span><br></code></pre></td></tr></table></figure>
<h2 id="conda-by-bpq-LATLAJ">conda by <a href="https://hexo.limour.top/go/#aHR0cHM6Ly96aHVhbmxhbi56aGlodS5jb20vcC82MTAzMTkzOTU=" rel="noopener external nofollow noreferrer">bpq</a>&amp;<a href="https://hexo.limour.top/go/#aHR0cHM6Ly93d3cuamlhbnNodS5jb20vcC9lMWJkNmUxM2Q4ZTQ=" rel="noopener external nofollow noreferrer">LATLAJ</a></h2>
<figure class="highlight shell"><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></pre></td><td class="code"><pre><code class="hljs shell">mkdir data # G:\data<br>docker run -p 0.0.0.0:8001:8001 -it --name torch --gpus all -v //g/data:/app/data anibali/pytorch:2.0.0-cuda11.8-ubuntu22.04 /bin/bash<br>conda init # 然后退出 bash<br>docker start torch<br>docker exec -it torch /bin/bash<br>conda install nano -c conda-forge<br>nano ~/.condarc<br></code></pre></td></tr></table></figure>
<ul>
<li><a href="/-ji-lu--an-zhuang-conda-bing-geng-huan-qing-hua-yuan">更换清华源</a></li>
</ul>
<h2 id="jupyter">jupyter</h2>
<figure class="highlight shell"><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></pre></td><td class="code"><pre><code class="hljs shell">conda create -n jupyter jupyter notebook -c conda-forge<br>conda activate jupyter<br>jupyter notebook --ip 0.0.0.0 --port 8001<br>jupyter notebook --generate-config<br>nano ~/.jupyter/jupyter_notebook_config.py<br>jupyter notebook # http://localhost:8001/lab?token=limour<br></code></pre></td></tr></table></figure>
<figure class="highlight python"><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></pre></td><td class="code"><pre><code class="hljs python">c.ServerApp.ip = <span class="hljs-string">&#x27;*&#x27;</span><br>c.ServerApp.port = <span class="hljs-number">8001</span><br>c.ExtensionApp.open_browser = <span class="hljs-literal">False</span><br>c.ServerApp.token = <span class="hljs-string">&#x27;limour&#x27;</span><br></code></pre></td></tr></table></figure>
<h2 id="添加内核">添加内核</h2>
<figure class="highlight crmsh"><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><code class="hljs crmsh">conda activate base<br>conda install ipykernel -c conda-forge<br>python -m ipykernel install --<span class="hljs-keyword">user</span> <span class="hljs-title">--name</span> pytorch<br></code></pre></td></tr></table></figure>
<p><img src="https://img.limour.top/2023/08/30/64ef3633df990.webp" srcset="https://jscdn.limour.top/gh/Limour-dev/Sakurairo_Vision/load_svg/inload.svg" lazyload alt=""><br>
快速启动：<code>docker exec -it torch /home/user/micromamba/envs/jupyter/bin/jupyter notebook</code></p>

                
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