doc: update css.md b3a11fcbe0

docs/lua.html

@@ -60,7 +60,7 @@
 </g>
 </svg>
 <a aria-hidden="true" tabindex="-1" href="#lua-备忘清单"><span class="icon icon-link"></span></a>Lua 备忘清单</h1><div class="wrap-body">
-<p>包含最重要概念、函数、方法等的 Lua 备忘单。 初学者的完整快速参考。</p>
+<p>包含最重要概念、函数、方法等的 <a href="http://www.lua.org">Lua</a> 备忘单。 初学者的完整快速参考。</p>
 </div></header><div class="menu-tocs"><div class="menu-btn"><svg aria-hidden="true" fill="currentColor" height="1em" width="1em" viewBox="0 0 16 16" version="1.1" data-view-component="true">
   <path fill-rule="evenodd" d="M2 4a1 1 0 100-2 1 1 0 000 2zm3.75-1.5a.75.75 0 000 1.5h8.5a.75.75 0 000-1.5h-8.5zm0 5a.75.75 0 000 1.5h8.5a.75.75 0 000-1.5h-8.5zm0 5a.75.75 0 000 1.5h8.5a.75.75 0 000-1.5h-8.5zM3 8a1 1 0 11-2 0 1 1 0 012 0zm-1 6a1 1 0 100-2 1 1 0 000 2z"></path>
 </svg></div><div class="menu-modal"><a aria-hidden="true" class="leve2 tocs-link" data-num="2" href="#入门">入门</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#下载">下载</a><a aria-hidden="true" class="leve4 tocs-link" data-num="4" href="#其它下载方式">其它下载方式</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#hello-world">hello world</a><a aria-hidden="true" class="leve4 tocs-link" data-num="4" href="#运行">运行</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#注释">注释</a><a aria-hidden="true" class="leve4 tocs-link" data-num="4" href="#单行注释">单行注释</a><a aria-hidden="true" class="leve4 tocs-link" data-num="4" href="#多行注释">多行注释</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#type-函数">type() 函数</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#number">number</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#string">string</a><a aria-hidden="true" class="leve4 tocs-link" data-num="4" href="#">[[]]</a><a aria-hidden="true" class="leve4 tocs-link" data-num="4" href="#字符串连接">字符串连接(..)</a><a aria-hidden="true" class="leve4 tocs-link" data-num="4" href="#字符串长度">字符串长度(#)</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#table">table</a><a aria-hidden="true" class="leve4 tocs-link" data-num="4" href="#迭代-table">迭代 table</a><a aria-hidden="true" class="leve4 tocs-link" data-num="4" href="#指定键">指定键</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#变量">变量</a><a aria-hidden="true" class="leve4 tocs-link" data-num="4" href="#默认值">默认值</a><a aria-hidden="true" class="leve4 tocs-link" data-num="4" href="#全局和局部变量">全局和局部变量</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#赋值">赋值</a><a aria-hidden="true" class="leve4 tocs-link" data-num="4" href="#交换变量">交换变量</a><a aria-hidden="true" class="leve4 tocs-link" data-num="4" href="#赋值个数不一致">赋值个数不一致</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#运算符">运算符</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#类型转换">类型转换</a><a aria-hidden="true" class="leve2 tocs-link" data-num="2" href="#条件语句">条件语句</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#运算符-1">运算符</a><a aria-hidden="true" class="leve4 tocs-link" data-num="4" href="#关系运算符">关系运算符</a><a aria-hidden="true" class="leve4 tocs-link" data-num="4" href="#逻辑运算符">逻辑运算符</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#while-循环">while 循环</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#if-语句">if 语句</a><a aria-hidden="true" class="leve4 tocs-link" data-num="4" href="#if--elseif--else">if .. elseif() .. else</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#for-循环">for 循环</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#repeatuntil-循环">repeat...until 循环</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#break">break</a><a aria-hidden="true" class="leve2 tocs-link" data-num="2" href="#另见">另见</a></div></div><div class="h1wrap-body"><div class="wrap h2body-exist"><div class="wrap-header h2wrap"><h2 id="入门"><a aria-hidden="true" tabindex="-1" href="#入门"><span class="icon icon-link"></span></a>入门</h2><div class="wrap-body">
@@ -70,7 +70,7 @@
 </span></code></pre>
 <h4 id="其它下载方式"><a aria-hidden="true" tabindex="-1" href="#其它下载方式"><span class="icon icon-link"></span></a>其它下载方式</h4>
 <ul>
-<li><a href="https://luabinaries.sourceforge.net/download.html">下载地址</a></li>
+<li><a href="https://luabinaries.sourceforge.net/download.html">下载地址</a> <em>(sourceforge.net)</em></li>
 </ul>
 <pre class="language-bash"><code class="language-bash code-highlight"><span class="code-line"><span class="token comment"># 查看 lua 是否安装成功</span>
 </span><span class="code-line">$ lua <span class="token parameter variable">-v</span>
@@ -332,7 +332,7 @@
 
 
 
-<table class="show-header"><thead><tr><th align="left">符号</th><th align="left">含义</th></tr></thead><tbody><tr><td align="left">==</td><td align="left">等于</td></tr><tr><td align="left">~=</td><td align="left">不等于</td></tr><tr><td align="left">></td><td align="left">大于</td></tr><tr><td align="left">&#x3C;</td><td align="left">小于</td></tr><tr><td align="left">>=</td><td align="left">大于等于</td></tr><tr><td align="left">&#x3C;=</td><td align="left">小于等于</td></tr></tbody></table>
+<table class="show-header"><thead><tr><th align="left">符号</th><th align="left">含义</th></tr></thead><tbody><tr><td align="left"><code>==</code></td><td align="left">等于</td></tr><tr><td align="left"><code>~=</code></td><td align="left">不等于</td></tr><tr><td align="left"><code>></code></td><td align="left">大于</td></tr><tr><td align="left"><code>&#x3C;</code></td><td align="left">小于</td></tr><tr><td align="left"><code>>=</code></td><td align="left">大于等于</td></tr><tr><td align="left"><code>&#x3C;=</code></td><td align="left">小于等于</td></tr></tbody></table>
 <!--rehype:className=show-header-->
 <pre class="language-lua"><code class="language-lua code-highlight"><span class="code-line"><span class="token keyword">local</span> a<span class="token punctuation">,</span> b <span class="token operator">=</span> <span class="token number">4</span><span class="token punctuation">,</span> <span class="token number">3</span>
 </span><span class="code-line">
@@ -381,7 +381,6 @@
 </span></code></pre>
 </div></div></div><div class="wrap h3body-exist row-span-2"><div class="wrap-header h3wrap"><h3 id="if-语句"><a aria-hidden="true" tabindex="-1" href="#if-语句"><span class="icon icon-link"></span></a>if 语句</h3><div class="wrap-body">
 <!--rehype:wrap-class=row-span-2-->
-<p><span style="color:red">注意: Lua 中 0 为 true，但是 Lua 中的 <code>nil</code> 可以当作 <code>false</code></span></p>
 <pre class="language-lua"><code class="language-lua code-highlight"><span class="code-line"><span class="token keyword">if</span><span class="token punctuation">(</span><span class="token number">0</span><span class="token punctuation">)</span>
 </span><span class="code-line"><span class="token keyword">then</span>
 </span><span class="code-line">    <span class="token function">print</span><span class="token punctuation">(</span><span class="token string">"0 为 true"</span><span class="token punctuation">)</span>
@@ -405,21 +404,18 @@
 </span><span class="code-line">
 </span><span class="code-line"><span class="token function">print</span><span class="token punctuation">(</span><span class="token string">"age 的值为 :"</span><span class="token punctuation">,</span> age<span class="token punctuation">)</span>
 </span></code></pre>
+<p><red>注意: </red><code>Lua</code> 中 <code>0</code> 为 <code>true</code>，但是 <code>Lua</code> 中的 <code>nil</code> 可以当作 <code>false</code></p>
 </div></div></div><div class="wrap h3body-not-exist"><div class="wrap-header h3wrap"><h3 id="for-循环"><a aria-hidden="true" tabindex="-1" href="#for-循环"><span class="icon icon-link"></span></a>for 循环</h3><div class="wrap-body">
 <pre class="language-lua"><code class="language-lua code-highlight"><span class="code-line"><span class="token keyword">for</span> i <span class="token operator">=</span> <span class="token number">10</span><span class="token punctuation">,</span> <span class="token number">1</span><span class="token punctuation">,</span> <span class="token operator">-</span><span class="token number">1</span> <span class="token keyword">do</span>
 </span><span class="code-line">  <span class="token function">print</span><span class="token punctuation">(</span>i<span class="token punctuation">)</span>
 </span><span class="code-line"><span class="token keyword">end</span>
 </span></code></pre>
-<ul class="style-round">
+<ul>
-<li>
+<li>lua 中的 for 循环从参数 1 变化到参数 2，每次变化以参数 3 为步长递增 i，并执行一次表达式</li>
-<p>lua 中的 for 循环从参数 1 变化到参数 2，每次变化以参数 3 为步长递增 i，并执行一次表达式</p>
+<li>参数三，是可选的，如果不指定，默认是 1</li>
-</li>
+<li>参数二只会在一开始求值，其后不会再进行运算</li>
-<li>
+</ul>
-<p>参数三，是可选的，如果不指定，默认是 1</p>
+<pre class="style-round wrap-text"><code class="language-lua code-highlight"><span class="code-line"><span class="token keyword">local</span> f <span class="token operator">=</span> <span class="token keyword">function</span><span class="token punctuation">(</span>x<span class="token punctuation">)</span>
-</li>
-<li>
-<p>参数二只会在一开始求值，其后不会再进行运算</p>
-<pre class="language-lua"><code class="language-lua code-highlight"><span class="code-line"><span class="token keyword">local</span> f <span class="token operator">=</span> <span class="token keyword">function</span><span class="token punctuation">(</span>x<span class="token punctuation">)</span>
 </span><span class="code-line">  <span class="token function">print</span><span class="token punctuation">(</span><span class="token string">"in f(x) "</span><span class="token punctuation">)</span>
 </span><span class="code-line">  <span class="token keyword">return</span> x <span class="token operator">*</span> <span class="token number">2</span>
 </span><span class="code-line"><span class="token keyword">end</span>
@@ -428,12 +424,8 @@
 </span><span class="code-line">  <span class="token function">print</span><span class="token punctuation">(</span>i<span class="token punctuation">)</span>
 </span><span class="code-line"><span class="token keyword">end</span>
 </span></code></pre>
-</li>
+<!--rehype:className=style-round wrap-text-->
-</ul>
-<!--rehype:className=style-round-->
-<!--rehype:className=wrap-text -->
 </div></div></div><div class="wrap h3body-not-exist"><div class="wrap-header h3wrap"><h3 id="repeatuntil-循环"><a aria-hidden="true" tabindex="-1" href="#repeatuntil-循环"><span class="icon icon-link"></span></a>repeat...until 循环</h3><div class="wrap-body">
-<p>repeat...until 循环的条件语句在当前循环结束后判断</p>
 <pre class="language-lua"><code class="language-lua code-highlight"><span class="code-line"><span class="token keyword">local</span> num <span class="token operator">=</span> <span class="token number">11</span>
 </span><span class="code-line"><span class="token keyword">repeat</span>
 </span><span class="code-line">  <span class="token function">print</span><span class="token punctuation">(</span><span class="token string">"num 的值为: "</span><span class="token punctuation">,</span> num<span class="token punctuation">)</span>
@@ -441,6 +433,7 @@
 </span><span class="code-line"><span class="token keyword">until</span> <span class="token punctuation">(</span>num <span class="token operator">></span> <span class="token number">10</span><span class="token punctuation">)</span>
 </span><span class="code-line"><span class="token comment">-- num 的值为：11</span>
 </span></code></pre>
+<p><code>repeat...until</code> 循环的条件语句在当前循环结束后判断</p>
 </div></div></div><div class="wrap h3body-not-exist"><div class="wrap-header h3wrap"><h3 id="break"><a aria-hidden="true" tabindex="-1" href="#break"><span class="icon icon-link"></span></a>break</h3><div class="wrap-body">
 <pre class="language-lua"><code class="language-lua code-highlight"><span class="code-line"><span class="token keyword">local</span> num <span class="token operator">=</span> <span class="token number">11</span>
 </span><span class="code-line"><span class="token keyword">repeat</span>
@@ -453,9 +446,9 @@
 </span></code></pre>
 </div></div></div></div></div><div class="wrap h2body-not-exist"><div class="wrap-header h2wrap"><h2 id="另见"><a aria-hidden="true" tabindex="-1" href="#另见"><span class="icon icon-link"></span></a>另见</h2><div class="wrap-body">
 <ul>
-<li><a href="http://www.lua.org">Lua</a></li>
+<li><a href="http://www.lua.org">Lua 官网</a> <em>(lua.org)</em></li>
-<li><a href="https://wiki.luatos.com/luaGuide/introduction.html">luatos</a></li>
+<li><a href="https://wiki.luatos.com/luaGuide/introduction.html">luatos</a> <em>(wiki.luatos.com)</em></li>
-<li><a href="https://www.twle.cn/l/yufei/lua53/lua-basic-index.html">Lua 教程</a></li>
+<li><a href="https://www.twle.cn/l/yufei/lua53/lua-basic-index.html">Lua 教程</a> <em>(twle.cn)</em></li>
 </ul>
 </div></div><div class="h2wrap-body"></div></div></div></div><footer class="footer-wrap"><footer class="max-container">© 2022 Kenny Wang.</footer></footer><script>
 if(('onhashchange' in window) && ((typeof document.documentMode==='undefined') || document.documentMode==8)) {

docs/pytorch.html

@@ -5,7 +5,7 @@
 <title>Pytorch  备忘清单
  &#x26;  pytorch cheatsheet &#x26;  Quick Reference</title>
 <meta name="viewport" content="width=device-width, initial-scale=1">
-<meta description="Pytorch 备忘单是 Pytorch  官网为开发人员分享快速参考备忘单。">
+<meta description="Pytorch 是一种开源机器学习框架，可加速从研究原型设计到生产部署的过程，备忘单是  官网为开发人员分享快速参考备忘单。">
 <meta keywords="Quick,Reference,cheatsheet,pytorch">
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 <link rel="stylesheet" href="../style/style.css">
@@ -35,29 +35,34 @@
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     localStorage.setItem(LOCAL_NANE, mode);
   }
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-</svg><a aria-hidden="true" tabindex="-1" href="#pytorch--备忘清单"><span class="icon icon-link"></span></a>Pytorch  备忘清单</h1><div class="wrap-body">
+</svg>
-<p>Pytorch 备忘单是 <a href="https://pytorch.org/">Pytorch </a> 官网</p>
+<a aria-hidden="true" tabindex="-1" href="#pytorch--备忘清单"><span class="icon icon-link"></span></a>Pytorch  备忘清单</h1><div class="wrap-body">
+<p>Pytorch 是一种开源机器学习框架，可加速从研究原型设计到生产部署的过程，备忘单是  官网
+备忘清单为您提供了 <a href="https://pytorch.org/">Pytorch</a> 基本语法和初步应用参考</p>
 </div></header><div class="menu-tocs"><div class="menu-btn"><svg aria-hidden="true" fill="currentColor" height="1em" width="1em" viewBox="0 0 16 16" version="1.1" data-view-component="true">
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-</svg></div><div class="menu-modal"><a aria-hidden="true" class="leve2 tocs-link" data-num="2" href="#入门">入门</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#介绍">介绍</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#认识pytorch">认识Pytorch</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#创建一个全零矩阵">创建一个全零矩阵</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#数据创建张量">数据创建张量</a><a aria-hidden="true" class="leve2 tocs-link" data-num="2" href="#pytorch的基本语法">Pytorch的基本语法</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#加法操作">加法操作</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#加法操作-1">加法操作</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#加法操作-2">加法操作</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#加法操作-3">加法操作</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#张量操作">张量操作</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#张量形状">张量形状</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#取张量元素">取张量元素</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#torch-tensor和numpy-array互换">Torch Tensor和Numpy array互换</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#torch-tensor转换为numpy-array">Torch Tensor转换为Numpy array</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#numpy-array转换为torch-tensor">Numpy array转换为Torch Tensor:</a></div></div><div class="h1wrap-body"><div class="wrap h2body-exist"><div class="wrap-header h2wrap"><h2 id="入门"><a aria-hidden="true" tabindex="-1" href="#入门"><span class="icon icon-link"></span></a>入门</h2><div class="wrap-body">
+</svg></div><div class="menu-modal"><a aria-hidden="true" class="leve2 tocs-link" data-num="2" href="#入门">入门</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#介绍">介绍</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#认识-pytorch">认识 Pytorch</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#创建一个全零矩阵">创建一个全零矩阵</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#数据创建张量">数据创建张量</a><a aria-hidden="true" class="leve2 tocs-link" data-num="2" href="#pytorch-的基本语法">Pytorch 的基本语法</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#加法操作1">加法操作(1)</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#加法操作2">加法操作(2)</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#加法操作3">加法操作(3)</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#加法操作4">加法操作(4)</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#张量操作">张量操作</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#张量形状">张量形状</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#取张量元素">取张量元素</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#torch-tensor-和-numpy-array互换">Torch Tensor 和 Numpy array互换</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#torch-tensor-转换为-numpy-array">Torch Tensor 转换为 Numpy array</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#numpy-array转换为torch-tensor">Numpy array转换为Torch Tensor</a><a aria-hidden="true" class="leve2 tocs-link" data-num="2" href="#导入-imports">导入 Imports</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#一般">一般</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#神经网络-api">神经网络 API</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#torchscript-和-jit">Torchscript 和 JIT</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#onnx">ONNX</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#vision">Vision</a><a aria-hidden="true" class="leve3 tocs-link" data-num="3" href="#分布式训练">分布式训练</a><a aria-hidden="true" class="leve2 tocs-link" data-num="2" href="#另见">另见</a></div></div><div class="h1wrap-body"><div class="wrap h2body-exist"><div class="wrap-header h2wrap"><h2 id="入门"><a aria-hidden="true" tabindex="-1" href="#入门"><span class="icon icon-link"></span></a>入门</h2><div class="wrap-body">
 </div></div><div class="h2wrap-body"><div class="wrap h3body-not-exist"><div class="wrap-header h3wrap"><h3 id="介绍"><a aria-hidden="true" tabindex="-1" href="#介绍"><span class="icon icon-link"></span></a>介绍</h3><div class="wrap-body">
 <ul>
-<li>[Pytorch基本语法]</li>
+<li><a href="https://pytorch.org/">Pytorch 官网</a> <em>(pytorch.org)</em></li>
-<li>[Pytorch初步应用]</li>
+<li><a href="https://pytorch.org/tutorials/beginner/ptcheat.html">Pytorch 官方备忘清单</a> <em>(pytorch.org)</em></li>
 </ul>
-</div></div></div><div class="wrap h3body-not-exist"><div class="wrap-header h3wrap"><h3 id="认识pytorch"><a aria-hidden="true" tabindex="-1" href="#认识pytorch"><span class="icon icon-link"></span></a>认识Pytorch</h3><div class="wrap-body">
+</div></div></div><div class="wrap h3body-not-exist"><div class="wrap-header h3wrap"><h3 id="认识-pytorch"><a aria-hidden="true" tabindex="-1" href="#认识-pytorch"><span class="icon icon-link"></span></a>认识 Pytorch</h3><div class="wrap-body">
-<pre class="language-python"><code class="language-python code-highlight"><span class="code-line"><span class="token keyword">from</span> __future__ <span class="token keyword">import</span> print_function
+<pre class="wrap-text"><code class="language-python code-highlight"><span class="code-line"><span class="token keyword">from</span> __future__ <span class="token keyword">import</span> print_function
 </span><span class="code-line"><span class="token keyword">import</span> torch
 </span><span class="code-line">x <span class="token operator">=</span> torch<span class="token punctuation">.</span>empty<span class="token punctuation">(</span><span class="token number">5</span><span class="token punctuation">,</span> <span class="token number">3</span><span class="token punctuation">)</span>
 </span><span class="code-line"><span class="token operator">>></span><span class="token operator">></span> <span class="token keyword">print</span><span class="token punctuation">(</span>x<span class="token punctuation">)</span>
-</span><span class="code-line">tensor<span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token punctuation">[</span><span class="token number">2.4835e+27</span><span class="token punctuation">,</span> <span class="token number">2.5428e+30</span><span class="token punctuation">,</span> <span class="token number">1.0877e-19</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
+</span><span class="code-line">tensor<span class="token punctuation">(</span><span class="token punctuation">[</span>
+</span><span class="code-line">    <span class="token punctuation">[</span><span class="token number">2.4835e+27</span><span class="token punctuation">,</span> <span class="token number">2.5428e+30</span><span class="token punctuation">,</span> <span class="token number">1.0877e-19</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
 </span><span class="code-line">    <span class="token punctuation">[</span><span class="token number">1.5163e+23</span><span class="token punctuation">,</span> <span class="token number">2.2012e+12</span><span class="token punctuation">,</span> <span class="token number">3.7899e+22</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
 </span><span class="code-line">    <span class="token punctuation">[</span><span class="token number">5.2480e+05</span><span class="token punctuation">,</span> <span class="token number">1.0175e+31</span><span class="token punctuation">,</span> <span class="token number">9.7056e+24</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
 </span><span class="code-line">    <span class="token punctuation">[</span><span class="token number">1.6283e+32</span><span class="token punctuation">,</span> <span class="token number">3.7913e+22</span><span class="token punctuation">,</span> <span class="token number">3.9653e+28</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
-</span><span class="code-line">        <span class="token punctuation">[</span><span class="token number">1.0876e-19</span><span class="token punctuation">,</span> <span class="token number">6.2027e+26</span><span class="token punctuation">,</span> <span class="token number">2.3685e+21</span><span class="token punctuation">]</span><span class="token punctuation">]</span><span class="token punctuation">)</span>
+</span><span class="code-line">    <span class="token punctuation">[</span><span class="token number">1.0876e-19</span><span class="token punctuation">,</span> <span class="token number">6.2027e+26</span><span class="token punctuation">,</span> <span class="token number">2.3685e+21</span><span class="token punctuation">]</span>
+</span><span class="code-line"><span class="token punctuation">]</span><span class="token punctuation">)</span>
 </span></code></pre>
+<!--rehype:className=wrap-text-->
 <p>Tensors 张量: 张量的概念类似于Numpy中的ndarray数据结构, 最大的区别在于Tensor可以利用GPU的加速功能.</p>
 </div></div></div><div class="wrap h3body-not-exist"><div class="wrap-header h3wrap"><h3 id="创建一个全零矩阵"><a aria-hidden="true" tabindex="-1" href="#创建一个全零矩阵"><span class="icon icon-link"></span></a>创建一个全零矩阵</h3><div class="wrap-body">
 <pre class="language-python"><code class="language-python code-highlight"><span class="code-line">x <span class="token operator">=</span> torch<span class="token punctuation">.</span>zeros<span class="token punctuation">(</span><span class="token number">5</span><span class="token punctuation">,</span> <span class="token number">3</span><span class="token punctuation">,</span> dtype<span class="token operator">=</span>torch<span class="token punctuation">.</span><span class="token builtin">long</span><span class="token punctuation">)</span>
@@ -74,8 +79,8 @@
 </span><span class="code-line"><span class="token operator">>></span><span class="token operator">></span> <span class="token keyword">print</span><span class="token punctuation">(</span>x<span class="token punctuation">)</span>
 </span><span class="code-line">tensor<span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token number">2.5000</span><span class="token punctuation">,</span> <span class="token number">3.3000</span><span class="token punctuation">]</span><span class="token punctuation">)</span>
 </span></code></pre>
-</div></div></div></div></div><div class="wrap h2body-exist"><div class="wrap-header h2wrap"><h2 id="pytorch的基本语法"><a aria-hidden="true" tabindex="-1" href="#pytorch的基本语法"><span class="icon icon-link"></span></a>Pytorch的基本语法</h2><div class="wrap-body">
+</div></div></div></div></div><div class="wrap h2body-exist"><div class="wrap-header h2wrap"><h2 id="pytorch-的基本语法"><a aria-hidden="true" tabindex="-1" href="#pytorch-的基本语法"><span class="icon icon-link"></span></a>Pytorch 的基本语法</h2><div class="wrap-body">
-</div></div><div class="h2wrap-body"><div class="wrap h3body-not-exist"><div class="wrap-header h3wrap"><h3 id="加法操作"><a aria-hidden="true" tabindex="-1" href="#加法操作"><span class="icon icon-link"></span></a>加法操作</h3><div class="wrap-body">
+</div></div><div class="h2wrap-body"><div class="wrap h3body-not-exist"><div class="wrap-header h3wrap"><h3 id="加法操作1"><a aria-hidden="true" tabindex="-1" href="#加法操作1"><span class="icon icon-link"></span></a>加法操作(1)</h3><div class="wrap-body">
 <pre class="language-python"><code class="language-python code-highlight"><span class="code-line">y <span class="token operator">=</span> torch<span class="token punctuation">.</span>rand<span class="token punctuation">(</span><span class="token number">5</span><span class="token punctuation">,</span> <span class="token number">3</span><span class="token punctuation">)</span>
 </span><span class="code-line"><span class="token operator">>></span><span class="token operator">></span> <span class="token keyword">print</span><span class="token punctuation">(</span>x <span class="token operator">+</span> y<span class="token punctuation">)</span>
 </span><span class="code-line">tensor<span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token punctuation">[</span> <span class="token number">1.6978</span><span class="token punctuation">,</span> <span class="token operator">-</span><span class="token number">1.6979</span><span class="token punctuation">,</span>  <span class="token number">0.3093</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
@@ -84,8 +89,7 @@
 </span><span class="code-line">        <span class="token punctuation">[</span> <span class="token number">0.6883</span><span class="token punctuation">,</span>  <span class="token number">0.9775</span><span class="token punctuation">,</span>  <span class="token number">1.1764</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
 </span><span class="code-line">        <span class="token punctuation">[</span> <span class="token number">2.6784</span><span class="token punctuation">,</span>  <span class="token number">0.1209</span><span class="token punctuation">,</span>  <span class="token number">1.5542</span><span class="token punctuation">]</span><span class="token punctuation">]</span><span class="token punctuation">)</span>
 </span></code></pre>
-<p>第一种加法操作</p>
+</div></div></div><div class="wrap h3body-not-exist"><div class="wrap-header h3wrap"><h3 id="加法操作2"><a aria-hidden="true" tabindex="-1" href="#加法操作2"><span class="icon icon-link"></span></a>加法操作(2)</h3><div class="wrap-body">
-</div></div></div><div class="wrap h3body-not-exist"><div class="wrap-header h3wrap"><h3 id="加法操作-1"><a aria-hidden="true" tabindex="-1" href="#加法操作-1"><span class="icon icon-link"></span></a>加法操作</h3><div class="wrap-body">
 <pre class="language-python"><code class="language-python code-highlight"><span class="code-line"><span class="token operator">>></span><span class="token operator">></span> <span class="token keyword">print</span><span class="token punctuation">(</span>torch<span class="token punctuation">.</span>add<span class="token punctuation">(</span>x<span class="token punctuation">,</span> y<span class="token punctuation">)</span><span class="token punctuation">)</span>
 </span><span class="code-line">tensor<span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token punctuation">[</span> <span class="token number">1.6978</span><span class="token punctuation">,</span> <span class="token operator">-</span><span class="token number">1.6979</span><span class="token punctuation">,</span>  <span class="token number">0.3093</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
 </span><span class="code-line">        <span class="token punctuation">[</span> <span class="token number">0.4953</span><span class="token punctuation">,</span>  <span class="token number">0.3954</span><span class="token punctuation">,</span>  <span class="token number">0.0595</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
@@ -93,8 +97,7 @@
 </span><span class="code-line">        <span class="token punctuation">[</span> <span class="token number">0.6883</span><span class="token punctuation">,</span>  <span class="token number">0.9775</span><span class="token punctuation">,</span>  <span class="token number">1.1764</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
 </span><span class="code-line">        <span class="token punctuation">[</span> <span class="token number">2.6784</span><span class="token punctuation">,</span>  <span class="token number">0.1209</span><span class="token punctuation">,</span>  <span class="token number">1.5542</span><span class="token punctuation">]</span><span class="token punctuation">]</span><span class="token punctuation">)</span>
 </span></code></pre>
-<p>第二种加法操作</p>
+</div></div></div><div class="wrap h3body-not-exist"><div class="wrap-header h3wrap"><h3 id="加法操作3"><a aria-hidden="true" tabindex="-1" href="#加法操作3"><span class="icon icon-link"></span></a>加法操作(3)</h3><div class="wrap-body">
-</div></div></div><div class="wrap h3body-not-exist"><div class="wrap-header h3wrap"><h3 id="加法操作-2"><a aria-hidden="true" tabindex="-1" href="#加法操作-2"><span class="icon icon-link"></span></a>加法操作</h3><div class="wrap-body">
 <pre class="language-python"><code class="language-python code-highlight"><span class="code-line"><span class="token comment"># 提前设定一个空的张量</span>
 </span><span class="code-line">result <span class="token operator">=</span> torch<span class="token punctuation">.</span>empty<span class="token punctuation">(</span><span class="token number">5</span><span class="token punctuation">,</span> <span class="token number">3</span><span class="token punctuation">)</span>
 </span><span class="code-line"><span class="token comment"># 将空的张量作为加法的结果存储张量</span>
@@ -106,8 +109,7 @@
 </span><span class="code-line">        <span class="token punctuation">[</span> <span class="token number">0.6883</span><span class="token punctuation">,</span>  <span class="token number">0.9775</span><span class="token punctuation">,</span>  <span class="token number">1.1764</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
 </span><span class="code-line">        <span class="token punctuation">[</span> <span class="token number">2.6784</span><span class="token punctuation">,</span>  <span class="token number">0.1209</span><span class="token punctuation">,</span>  <span class="token number">1.5542</span><span class="token punctuation">]</span><span class="token punctuation">]</span><span class="token punctuation">)</span>
 </span></code></pre>
-<p>第三种加法操作</p>
+</div></div></div><div class="wrap h3body-not-exist"><div class="wrap-header h3wrap"><h3 id="加法操作4"><a aria-hidden="true" tabindex="-1" href="#加法操作4"><span class="icon icon-link"></span></a>加法操作(4)</h3><div class="wrap-body">
-</div></div></div><div class="wrap h3body-not-exist"><div class="wrap-header h3wrap"><h3 id="加法操作-3"><a aria-hidden="true" tabindex="-1" href="#加法操作-3"><span class="icon icon-link"></span></a>加法操作</h3><div class="wrap-body">
 <pre class="language-python"><code class="language-python code-highlight"><span class="code-line">y<span class="token punctuation">.</span>add_<span class="token punctuation">(</span>x<span class="token punctuation">)</span>
 </span><span class="code-line"><span class="token operator">>></span><span class="token operator">></span> <span class="token keyword">print</span><span class="token punctuation">(</span>y<span class="token punctuation">)</span>
 </span><span class="code-line">tensor<span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token punctuation">[</span> <span class="token number">1.6978</span><span class="token punctuation">,</span> <span class="token operator">-</span><span class="token number">1.6979</span><span class="token punctuation">,</span>  <span class="token number">0.3093</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
@@ -116,16 +118,15 @@
 </span><span class="code-line">        <span class="token punctuation">[</span> <span class="token number">0.6883</span><span class="token punctuation">,</span>  <span class="token number">0.9775</span><span class="token punctuation">,</span>  <span class="token number">1.1764</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
 </span><span class="code-line">        <span class="token punctuation">[</span> <span class="token number">2.6784</span><span class="token punctuation">,</span>  <span class="token number">0.1209</span><span class="token punctuation">,</span>  <span class="token number">1.5542</span><span class="token punctuation">]</span><span class="token punctuation">]</span><span class="token punctuation">)</span>
 </span></code></pre>
-<p>第四种加法操作
+<p>注意: 所有 <code>in-place</code> 的操作函数都有一个下划线的后缀。
-注意:所有in-place的操作函数都有一个下划线的后缀.
+比如 <code>x.copy_(y)</code>, <code>x.add_(y)</code>, 都会直接改变x的值</p>
-比如x.copy_(y), x.add_(y), 都会直接改变x的值.</p>
 </div></div></div><div class="wrap h3body-not-exist"><div class="wrap-header h3wrap"><h3 id="张量操作"><a aria-hidden="true" tabindex="-1" href="#张量操作"><span class="icon icon-link"></span></a>张量操作</h3><div class="wrap-body">
-<pre class="language-python"><code class="language-python code-highlight"><span class="code-line">
+<pre class="wrap-text"><code class="language-python code-highlight"><span class="code-line"><span class="token operator">>></span><span class="token operator">></span> <span class="token keyword">print</span><span class="token punctuation">(</span>x<span class="token punctuation">[</span><span class="token punctuation">:</span><span class="token punctuation">,</span> <span class="token number">1</span><span class="token punctuation">]</span><span class="token punctuation">)</span>
-</span><span class="code-line"><span class="token operator">>></span><span class="token operator">></span> <span class="token keyword">print</span><span class="token punctuation">(</span>x<span class="token punctuation">[</span><span class="token punctuation">:</span><span class="token punctuation">,</span> <span class="token number">1</span><span class="token punctuation">]</span><span class="token punctuation">)</span>
 </span><span class="code-line">tensor<span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token operator">-</span><span class="token number">2.0902</span><span class="token punctuation">,</span> <span class="token operator">-</span><span class="token number">0.4489</span><span class="token punctuation">,</span> <span class="token operator">-</span><span class="token number">0.1441</span><span class="token punctuation">,</span>  <span class="token number">0.8035</span><span class="token punctuation">,</span> <span class="token operator">-</span><span class="token number">0.8341</span><span class="token punctuation">]</span><span class="token punctuation">)</span>
 </span></code></pre>
+<!--rehype:className=wrap-text-->
 </div></div></div><div class="wrap h3body-not-exist"><div class="wrap-header h3wrap"><h3 id="张量形状"><a aria-hidden="true" tabindex="-1" href="#张量形状"><span class="icon icon-link"></span></a>张量形状</h3><div class="wrap-body">
-<pre class="language-python"><code class="language-python code-highlight"><span class="code-line">x <span class="token operator">=</span> torch<span class="token punctuation">.</span>randn<span class="token punctuation">(</span><span class="token number">4</span><span class="token punctuation">,</span> <span class="token number">4</span><span class="token punctuation">)</span>
+<pre class="wrap-text"><code class="language-python code-highlight"><span class="code-line">x <span class="token operator">=</span> torch<span class="token punctuation">.</span>randn<span class="token punctuation">(</span><span class="token number">4</span><span class="token punctuation">,</span> <span class="token number">4</span><span class="token punctuation">)</span>
 </span><span class="code-line"><span class="token comment"># tensor.view()操作需要保证数据元素的总数量不变</span>
 </span><span class="code-line">y <span class="token operator">=</span> x<span class="token punctuation">.</span>view<span class="token punctuation">(</span><span class="token number">16</span><span class="token punctuation">)</span>
 </span><span class="code-line"><span class="token comment"># -1代表自动匹配个数</span>
@@ -133,6 +134,7 @@
 </span><span class="code-line"><span class="token operator">>></span><span class="token operator">></span> <span class="token keyword">print</span><span class="token punctuation">(</span>x<span class="token punctuation">.</span>size<span class="token punctuation">(</span><span class="token punctuation">)</span><span class="token punctuation">,</span> y<span class="token punctuation">.</span>size<span class="token punctuation">(</span><span class="token punctuation">)</span><span class="token punctuation">,</span> z<span class="token punctuation">.</span>size<span class="token punctuation">(</span><span class="token punctuation">)</span><span class="token punctuation">)</span>
 </span><span class="code-line">torch<span class="token punctuation">.</span>Size<span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token number">4</span><span class="token punctuation">,</span> <span class="token number">4</span><span class="token punctuation">]</span><span class="token punctuation">)</span> torch<span class="token punctuation">.</span>Size<span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token number">16</span><span class="token punctuation">]</span><span class="token punctuation">)</span> torch<span class="token punctuation">.</span>Size<span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token number">2</span><span class="token punctuation">,</span> <span class="token number">8</span><span class="token punctuation">]</span><span class="token punctuation">)</span>
 </span></code></pre>
+<!--rehype:className=wrap-text-->
 </div></div></div><div class="wrap h3body-not-exist"><div class="wrap-header h3wrap"><h3 id="取张量元素"><a aria-hidden="true" tabindex="-1" href="#取张量元素"><span class="icon icon-link"></span></a>取张量元素</h3><div class="wrap-body">
 <pre class="language-python"><code class="language-python code-highlight"><span class="code-line">x <span class="token operator">=</span> torch<span class="token punctuation">.</span>randn<span class="token punctuation">(</span><span class="token number">1</span><span class="token punctuation">)</span>
 </span><span class="code-line"><span class="token operator">>></span><span class="token operator">></span> <span class="token keyword">print</span><span class="token punctuation">(</span>x<span class="token punctuation">)</span>
@@ -140,19 +142,19 @@
 </span><span class="code-line">tensor<span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token operator">-</span><span class="token number">0.3531</span><span class="token punctuation">]</span><span class="token punctuation">)</span>
 </span><span class="code-line"><span class="token operator">-</span><span class="token number">0.3530771732330322</span>
 </span></code></pre>
-</div></div></div><div class="wrap h3body-not-exist"><div class="wrap-header h3wrap"><h3 id="torch-tensor和numpy-array互换"><a aria-hidden="true" tabindex="-1" href="#torch-tensor和numpy-array互换"><span class="icon icon-link"></span></a>Torch Tensor和Numpy array互换</h3><div class="wrap-body">
+</div></div></div><div class="wrap h3body-not-exist"><div class="wrap-header h3wrap"><h3 id="torch-tensor-和-numpy-array互换"><a aria-hidden="true" tabindex="-1" href="#torch-tensor-和-numpy-array互换"><span class="icon icon-link"></span></a>Torch Tensor 和 Numpy array互换</h3><div class="wrap-body">
 <pre class="language-python"><code class="language-python code-highlight"><span class="code-line">a <span class="token operator">=</span> torch<span class="token punctuation">.</span>ones<span class="token punctuation">(</span><span class="token number">5</span><span class="token punctuation">)</span>
 </span><span class="code-line"><span class="token operator">>></span><span class="token operator">></span> <span class="token keyword">print</span><span class="token punctuation">(</span>a<span class="token punctuation">)</span>
 </span><span class="code-line">tensor<span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token number">1.</span><span class="token punctuation">,</span> <span class="token number">1.</span><span class="token punctuation">,</span> <span class="token number">1.</span><span class="token punctuation">,</span> <span class="token number">1.</span><span class="token punctuation">,</span> <span class="token number">1.</span><span class="token punctuation">]</span><span class="token punctuation">)</span>
 </span></code></pre>
 <p>Torch Tensor和Numpy array共享底层的内存空间, 因此改变其中一个的值, 另一个也会随之被改变</p>
-</div></div></div><div class="wrap h3body-not-exist"><div class="wrap-header h3wrap"><h3 id="torch-tensor转换为numpy-array"><a aria-hidden="true" tabindex="-1" href="#torch-tensor转换为numpy-array"><span class="icon icon-link"></span></a>Torch Tensor转换为Numpy array</h3><div class="wrap-body">
+</div></div></div><div class="wrap h3body-not-exist"><div class="wrap-header h3wrap"><h3 id="torch-tensor-转换为-numpy-array"><a aria-hidden="true" tabindex="-1" href="#torch-tensor-转换为-numpy-array"><span class="icon icon-link"></span></a>Torch Tensor 转换为 Numpy array</h3><div class="wrap-body">
 <pre class="language-python"><code class="language-python code-highlight"><span class="code-line">b <span class="token operator">=</span> a<span class="token punctuation">.</span>numpy<span class="token punctuation">(</span><span class="token punctuation">)</span>
 </span><span class="code-line"><span class="token operator">>></span><span class="token operator">></span> <span class="token keyword">print</span><span class="token punctuation">(</span>b<span class="token punctuation">)</span>
 </span><span class="code-line"><span class="token punctuation">[</span><span class="token number">1.</span> <span class="token number">1.</span> <span class="token number">1.</span> <span class="token number">1.</span> <span class="token number">1.</span><span class="token punctuation">]</span>
 </span></code></pre>
-</div></div></div><div class="wrap h3body-not-exist"><div class="wrap-header h3wrap"><h3 id="numpy-array转换为torch-tensor"><a aria-hidden="true" tabindex="-1" href="#numpy-array转换为torch-tensor"><span class="icon icon-link"></span></a>Numpy array转换为Torch Tensor:</h3><div class="wrap-body">
+</div></div></div><div class="wrap h3body-not-exist"><div class="wrap-header h3wrap"><h3 id="numpy-array转换为torch-tensor"><a aria-hidden="true" tabindex="-1" href="#numpy-array转换为torch-tensor"><span class="icon icon-link"></span></a>Numpy array转换为Torch Tensor</h3><div class="wrap-body">
-<pre class="language-python"><code class="language-python code-highlight"><span class="code-line"><span class="token keyword">import</span> numpy <span class="token keyword">as</span> np
+<pre class="wrap-text"><code class="language-python code-highlight"><span class="code-line"><span class="token keyword">import</span> numpy <span class="token keyword">as</span> np
 </span><span class="code-line">a <span class="token operator">=</span> np<span class="token punctuation">.</span>ones<span class="token punctuation">(</span><span class="token number">5</span><span class="token punctuation">)</span>
 </span><span class="code-line">b <span class="token operator">=</span> torch<span class="token punctuation">.</span>from_numpy<span class="token punctuation">(</span>a<span class="token punctuation">)</span>
 </span><span class="code-line">np<span class="token punctuation">.</span>add<span class="token punctuation">(</span>a<span class="token punctuation">,</span> <span class="token number">1</span><span class="token punctuation">,</span> out<span class="token operator">=</span>a<span class="token punctuation">)</span>
@@ -161,8 +163,72 @@
 </span><span class="code-line"><span class="token punctuation">[</span><span class="token number">2.</span> <span class="token number">2.</span> <span class="token number">2.</span> <span class="token number">2.</span> <span class="token number">2.</span><span class="token punctuation">]</span>
 </span><span class="code-line">tensor<span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token number">2.</span><span class="token punctuation">,</span> <span class="token number">2.</span><span class="token punctuation">,</span> <span class="token number">2.</span><span class="token punctuation">,</span> <span class="token number">2.</span><span class="token punctuation">,</span> <span class="token number">2.</span><span class="token punctuation">]</span><span class="token punctuation">,</span> dtype<span class="token operator">=</span>torch<span class="token punctuation">.</span>float64<span class="token punctuation">)</span>
 </span></code></pre>
+<!--rehype:className=wrap-text-->
 <p>注意: 所有在CPU上的Tensors, 除了CharTensor, 都可以转换为Numpy array并可以反向转换.</p>
-</div></div></div></div></div></div></div><footer class="footer-wrap"><footer class="max-container">© 2022 Kenny Wang.</footer></footer><script>
+</div></div></div></div></div><div class="wrap h2body-exist"><div class="wrap-header h2wrap"><h2 id="导入-imports"><a aria-hidden="true" tabindex="-1" href="#导入-imports"><span class="icon icon-link"></span></a>导入 Imports</h2><div class="wrap-body">
+</div></div><div class="h2wrap-body"><div class="wrap h3body-not-exist"><div class="wrap-header h3wrap"><h3 id="一般"><a aria-hidden="true" tabindex="-1" href="#一般"><span class="icon icon-link"></span></a>一般</h3><div class="wrap-body">
+<pre class="wrap-text"><code class="language-python code-highlight"><span class="code-line"><span class="token comment"># 根包</span>
+</span><span class="code-line"><span class="token keyword">import</span> torch
+</span><span class="code-line"><span class="token comment"># 数据集表示和加载</span>
+</span><span class="code-line"><span class="token keyword">from</span> torch<span class="token punctuation">.</span>utils<span class="token punctuation">.</span>data <span class="token keyword">import</span> Dataset<span class="token punctuation">,</span> DataLoader
+</span></code></pre>
+<!--rehype:className=wrap-text-->
+</div></div></div><div class="wrap h3body-not-exist"><div class="wrap-header h3wrap"><h3 id="神经网络-api"><a aria-hidden="true" tabindex="-1" href="#神经网络-api"><span class="icon icon-link"></span></a>神经网络 API</h3><div class="wrap-body">
+<pre class="language-python"><code class="language-python code-highlight"><span class="code-line"><span class="token comment"># 计算图</span>
+</span><span class="code-line"><span class="token keyword">import</span> torch<span class="token punctuation">.</span>autograd <span class="token keyword">as</span> autograd
+</span><span class="code-line"><span class="token comment"># 计算图中的张量节点</span>
+</span><span class="code-line"><span class="token keyword">from</span> torch <span class="token keyword">import</span> Tensor
+</span><span class="code-line"><span class="token comment"># 神经网络</span>
+</span><span class="code-line"><span class="token keyword">import</span> torch<span class="token punctuation">.</span>nn <span class="token keyword">as</span> nn
+</span><span class="code-line"><span class="token comment"># 层、激活等</span>
+</span><span class="code-line"><span class="token keyword">import</span> torch<span class="token punctuation">.</span>nn<span class="token punctuation">.</span>functional <span class="token keyword">as</span> F
+</span><span class="code-line"><span class="token comment"># 优化器，例如 梯度下降、ADAM等</span>
+</span><span class="code-line"><span class="token keyword">import</span> torch<span class="token punctuation">.</span>optim <span class="token keyword">as</span> optim
+</span><span class="code-line"><span class="token comment"># 混合前端装饰器和跟踪 jit</span>
+</span><span class="code-line"><span class="token keyword">from</span> torch<span class="token punctuation">.</span>jit <span class="token keyword">import</span> script<span class="token punctuation">,</span> trace
+</span></code></pre>
+</div></div></div><div class="wrap h3body-not-exist"><div class="wrap-header h3wrap"><h3 id="torchscript-和-jit"><a aria-hidden="true" tabindex="-1" href="#torchscript-和-jit"><span class="icon icon-link"></span></a>Torchscript 和 JIT</h3><div class="wrap-body">
+<pre class="language-python"><code class="language-python code-highlight"><span class="code-line">torch<span class="token punctuation">.</span>jit<span class="token punctuation">.</span>trace<span class="token punctuation">(</span><span class="token punctuation">)</span>
+</span></code></pre>
+<p>使用你的模块或函数和一个例子，数据输入，并追溯计算步骤，数据在模型中前进时遇到的情况</p>
+<pre class="language-python"><code class="language-python code-highlight"><span class="code-line"><span class="token decorator annotation punctuation">@script</span>
+</span></code></pre>
+<p>装饰器用于指示被跟踪代码中的数据相关控制流</p>
+</div></div></div><div class="wrap h3body-not-exist"><div class="wrap-header h3wrap"><h3 id="onnx"><a aria-hidden="true" tabindex="-1" href="#onnx"><span class="icon icon-link"></span></a>ONNX</h3><div class="wrap-body">
+<pre class="wrap-text"><code class="language-python code-highlight"><span class="code-line">torch<span class="token punctuation">.</span>onnx<span class="token punctuation">.</span>export<span class="token punctuation">(</span>model<span class="token punctuation">,</span> dummy data<span class="token punctuation">,</span> xxxx<span class="token punctuation">.</span>proto<span class="token punctuation">)</span>
+</span><span class="code-line"><span class="token comment"># 导出 ONNX 格式</span>
+</span><span class="code-line"><span class="token comment"># 使用经过训练的模型模型，dummy</span>
+</span><span class="code-line"><span class="token comment"># 数据和所需的文件名</span>
+</span><span class="code-line">
+</span><span class="code-line">model <span class="token operator">=</span> onnx<span class="token punctuation">.</span>load<span class="token punctuation">(</span><span class="token string">"alexnet.proto"</span><span class="token punctuation">)</span>
+</span><span class="code-line"><span class="token comment"># 加载 ONNX 模型</span>
+</span><span class="code-line">onnx<span class="token punctuation">.</span>checker<span class="token punctuation">.</span>check_model<span class="token punctuation">(</span>model<span class="token punctuation">)</span>
+</span><span class="code-line"><span class="token comment"># 检查模型，IT 是否结构良好</span>
+</span><span class="code-line">
+</span><span class="code-line">onnx<span class="token punctuation">.</span>helper<span class="token punctuation">.</span>printable_graph<span class="token punctuation">(</span>model<span class="token punctuation">.</span>graph<span class="token punctuation">)</span>
+</span><span class="code-line"><span class="token comment"># 打印一个人类可读的，图的表示</span>
+</span></code></pre>
+<!--rehype:className=wrap-text-->
+</div></div></div><div class="wrap h3body-not-exist"><div class="wrap-header h3wrap"><h3 id="vision"><a aria-hidden="true" tabindex="-1" href="#vision"><span class="icon icon-link"></span></a>Vision</h3><div class="wrap-body">
+<pre class="wrap-text"><code class="language-python code-highlight"><span class="code-line"><span class="token comment"># 视觉数据集，架构 &#x26; 变换</span>
+</span><span class="code-line"><span class="token keyword">from</span> torchvision <span class="token keyword">import</span> datasets<span class="token punctuation">,</span> models<span class="token punctuation">,</span> transforms
+</span><span class="code-line"><span class="token comment"># 组合转换</span>
+</span><span class="code-line"><span class="token keyword">import</span> torchvision<span class="token punctuation">.</span>transforms <span class="token keyword">as</span> transforms
+</span></code></pre>
+<!--rehype:className=wrap-text-->
+</div></div></div><div class="wrap h3body-not-exist"><div class="wrap-header h3wrap"><h3 id="分布式训练"><a aria-hidden="true" tabindex="-1" href="#分布式训练"><span class="icon icon-link"></span></a>分布式训练</h3><div class="wrap-body">
+<pre class="wrap-text"><code class="language-python code-highlight"><span class="code-line"><span class="token comment"># 分布式通信</span>
+</span><span class="code-line"><span class="token keyword">import</span> torch<span class="token punctuation">.</span>distributed <span class="token keyword">as</span> dist
+</span><span class="code-line"><span class="token comment"># 内存共享进程</span>
+</span><span class="code-line"><span class="token keyword">from</span> torch<span class="token punctuation">.</span>multiprocessing <span class="token keyword">import</span> Process
+</span></code></pre>
+<!--rehype:className=wrap-text-->
+</div></div></div></div></div><div class="wrap h2body-not-exist"><div class="wrap-header h2wrap"><h2 id="另见"><a aria-hidden="true" tabindex="-1" href="#另见"><span class="icon icon-link"></span></a>另见</h2><div class="wrap-body">
+<ul>
+<li><a href="https://pytorch.org/">Pytorch 官网</a> <em>(pytorch.org)</em></li>
+<li><a href="https://pytorch.org/tutorials/beginner/ptcheat.html">Pytorch 官方备忘清单</a> <em>(pytorch.org)</em></li>
+</ul>
+</div></div><div class="h2wrap-body"></div></div></div></div><footer class="footer-wrap"><footer class="max-container">© 2022 Kenny Wang.</footer></footer><script>
 if(('onhashchange' in window) && ((typeof document.documentMode==='undefined') || document.documentMode==8)) {
   window.onhashchange = function () {
     anchorPoint()

index.html

@@ -70,9 +70,10 @@
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 </svg>
 <span>Vue 3</span></a><!--rehype:style=background: rgb(64 184 131/var(\-\-bg\-opacity));&class=contributing-->
-<a href="./docs/pytorch.html" style="background: rgb(43 91 132/var(\-\-bg\-opacity));" class="contributing" data-info="👆看看还缺点儿什么？"><svg viewBox="0 0 1024 1024" xmlns="http://www.w3.org/2000/svg" fill="currentColor" height="1em" width="1em">
+<a href="./docs/pytorch.html" style="background: rgb(238 76 44/var(\-\-bg\-opacity));" class="contributing tag" data-lang="Python" data-info="👆看看还缺点儿什么？"><svg viewBox="0 0 24 24" fill="currentColor" xmlns="http://www.w3.org/2000/svg" height="1em" width="1em">
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+  <path d="M12.005 0 4.952 7.053a9.865 9.865 0 0 0 0 14.022 9.866 9.866 0 0 0 14.022 0c3.984-3.9 3.986-10.205.085-14.023l-1.744 1.743c2.904 2.905 2.904 7.634 0 10.538s-7.634 2.904-10.538 0-2.904-7.634 0-10.538l4.647-4.646.582-.665zm3.568 3.899a1.327 1.327 0 0 0-1.327 1.327 1.327 1.327 0 0 0 1.327 1.328A1.327 1.327 0 0 0 16.9 5.226 1.327 1.327 0 0 0 15.573 3.9z"></path>
-</svg><span>Pytorch</span></a><!--rehype:style=background: rgb(43 91 132/var(\-\-bg\-opacity));&class=contributing&data-info=👆看看还缺点儿什么？--></p>
+</svg>
+<span>Pytorch</span></a><!--rehype:style=background: rgb(238 76 44/var(\-\-bg\-opacity));&class=contributing tag&data-lang=Python&data-info=👆看看还缺点儿什么？--></p>
 <!--rehype:class=home-card-->
 </div></div><div class="h2wrap-body"></div></div><div class="wrap h2body-not-exist"><div class="wrap-header h2wrap"><h2 id="编程"><a aria-hidden="true" tabindex="-1" href="#编程"><span class="icon icon-link"></span></a>编程</h2><div class="wrap-body">
 <p class="home-card"><a href="./docs/bash.html" style="background: rgb(72 143 223/var(\-\-bg\-opacity));"><svg xmlns="http://www.w3.org/2000/svg" fill="currentColor" height="1em" width="1em" viewBox="0 0 32 32">
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+<a href="./docs/pytorch.html" style="background: rgb(43 91 132/var(\-\-bg\-opacity));" class="contributing" data-info="👆看看还缺点儿什么？"><svg viewBox="0 0 24 24" fill="currentColor" xmlns="http://www.w3.org/2000/svg" height="1em" width="1em">
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+</svg>
+<span>Pytorch</span></a><!--rehype:style=background: rgb(43 91 132/var(\-\-bg\-opacity));&class=contributing&data-info=👆看看还缺点儿什么？--></p>
 <!--rehype:class=home-card-->
 </div></div><div class="h2wrap-body"></div></div><div class="wrap h2body-not-exist"><div class="wrap-header h2wrap"><h2 id="前端"><a aria-hidden="true" tabindex="-1" href="#前端"><span class="icon icon-link"></span></a>前端</h2><div class="wrap-body">
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   <img src="https://avatars.githubusercontent.com/u/82551626?v=4" width="42;" alt="fw_qaq">
 </a>
+<a href="https://github.com/Alex-Programer" title="Alex">
+  <img src="https://avatars.githubusercontent.com/u/115539090?v=4" width="42;" alt="Alex">
+</a>
 <a href="https://github.com/mofelee" title="mofelee">
   <img src="https://avatars.githubusercontent.com/u/5069410?v=4" width="42;" alt="mofelee">
 </a>
+<a href="https://github.com/expoli" title="expoli">
+  <img src="https://avatars.githubusercontent.com/u/31023767?v=4" width="42;" alt="expoli">
+</a>
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-<a href="https://github.com/Alex-Programer" title="Alex">
-  <img src="https://avatars.githubusercontent.com/u/115539090?v=4" width="42;" alt="Alex">
-</a>
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   <img src="https://avatars.githubusercontent.com/u/52566311?v=4" width="42;" alt="Anko">
 </a>
+<a href="https://github.com/Brid9e" title="Brid9e">
+  <img src="https://avatars.githubusercontent.com/u/85558909?v=4" width="42;" alt="Brid9e">
+</a>
 <a href="https://github.com/CharlotteZeng" title="Chart">
   <img src="https://avatars.githubusercontent.com/u/19461184?v=4" width="42;" alt="Chart">
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+<a href="https://github.com/DaiNing810" title="DaiN">
+  <img src="https://avatars.githubusercontent.com/u/94962339?v=4" width="42;" alt="DaiN">
+</a>
 <a href="https://github.com/demigodliu" title="DemigodLiu">
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 </a>
+<a href="https://github.com/Lihuagreek" title="Lihuagreek">
+  <img src="https://avatars.githubusercontent.com/u/51040740?v=4" width="42;" alt="Lihuagreek">
+</a>
 <a href="https://github.com/mariuszmichalowski" title="Mariusz Michalowski">
   <img src="https://avatars.githubusercontent.com/u/92091891?v=4" width="42;" alt="Mariusz Michalowski">
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   <img src="https://avatars.githubusercontent.com/u/109856546?v=4" width="42;" alt="Noryu">
 </a>
+<a href="https://github.com/whb1998a" title="WHB">
+  <img src="https://avatars.githubusercontent.com/u/44045064?v=4" width="42;" alt="WHB">
+</a>
+<a href="https://github.com/y52y" title="Zyj">
+  <img src="https://avatars.githubusercontent.com/u/51304324?v=4" width="42;" alt="Zyj">
+</a>
 <a href="https://github.com/chyok" title="chyok">
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   <img src="https://avatars.githubusercontent.com/u/8973985?v=4" width="42;" alt="hweining">
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+<a href="https://github.com/k983551019" title="k983551019">
+  <img src="https://avatars.githubusercontent.com/u/48147837?v=4" width="42;" alt="k983551019">
+</a>
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 </a>
+<a href="https://github.com/lykjjj" title="lykjjj">
+  <img src="https://avatars.githubusercontent.com/u/58510058?v=4" width="42;" alt="lykjjj">
+</a>
 <a href="https://github.com/onewesong" title="onewesong">
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@@ -625,7 +651,7 @@
 <!--rehype:class=home-card&style=margin:1.2rem 0;display: flex;justify-content: center;-->
 <p>如果你有资源，可以很方便部署 web 版，这非常简单，只需要克隆 gh-pages 分支代码到你的静态服务就可以了，还可以使用 <a href="https://hub.docker.com/r/wcjiang/reference">docker</a> 快捷部署 web 版。</p>
 
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