<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Caffe源码阅读笔记 on 111qqz's blog</title><link>https://111qqz.com/en/series/caffe%E6%BA%90%E7%A0%81%E9%98%85%E8%AF%BB%E7%AC%94%E8%AE%B0/</link><description>Recent content in Caffe源码阅读笔记 on 111qqz's blog</description><generator>Hugo -- gohugo.io</generator><language>en</language><managingEditor>hust.111qqz@gmail.com (111qqz)</managingEditor><webMaster>hust.111qqz@gmail.com (111qqz)</webMaster><copyright>© 2011-2026 111qqz</copyright><lastBuildDate>Sat, 06 Aug 2022 12:26:03 +0800</lastBuildDate><atom:link href="https://111qqz.com/en/series/caffe%E6%BA%90%E7%A0%81%E9%98%85%E8%AF%BB%E7%AC%94%E8%AE%B0/index.xml" rel="self" type="application/rss+xml"/><item><title>caffe 源码阅读笔记</title><link>https://111qqz.com/en/post/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/caffe-notes/2020-06-30-caffe-source-code-analysis/</link><pubDate>Tue, 30 Jun 2020 19:47:02 +0800</pubDate><author>hust.111qqz@gmail.com (111qqz)</author><guid>https://111qqz.com/en/post/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/caffe-notes/2020-06-30-caffe-source-code-analysis/</guid><description>&lt;p&gt;caffe做部署是YYDS!&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;
&lt;p&gt;&lt;a href="https://111qqz.github.io/2020/01/caffe-source-code-analysis-part1/" target="_blank" rel="noreferrer"&gt;blob&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a href="https://111qqz.github.io/2020/01/caffe-source-code-analysis-part2/" target="_blank" rel="noreferrer"&gt;layer&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a href="https://111qqz.github.io/2020/01/caffe-source-code-analysis-part3/" target="_blank" rel="noreferrer"&gt;net&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a href="https://111qqz.github.io/2020/04/caffe-source-code-analysis-part4/" target="_blank" rel="noreferrer"&gt;激活函数&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a href="https://111qqz.github.io/2020/04/caffe-source-code-analysis-part5/" target="_blank" rel="noreferrer"&gt;卷积&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a href="https://111qqz.github.io/2020/04/caffe-source-code-analysis-part6/" target="_blank" rel="noreferrer"&gt;reshape&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a href="https://111qqz.github.io/2020/04/caffe-source-code-analysis-part7/" target="_blank" rel="noreferrer"&gt;slice&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a href="https://111qqz.github.io/2020/04/caffe-source-code-analysis-part8/" target="_blank" rel="noreferrer"&gt;loss function&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a href="https://111qqz.github.io/2020/05/caffe-source-code-analysis-part9/" target="_blank" rel="noreferrer"&gt;reduce&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a href="https://111qqz.github.io/2020/05/caffe-source-code-analysis-part10/" target="_blank" rel="noreferrer"&gt;eltwise&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a href="https://111qqz.github.io/2020/05/caffe-source-code-analysis-part11/" target="_blank" rel="noreferrer"&gt;argmax&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;/ol&gt;</description></item><item><title>[施工中]caffe 源码学习笔记(11) softmax</title><link>https://111qqz.com/en/post/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/caffe-notes/2022-08-06-caffe-source-code-analysis_part12/</link><pubDate>Sat, 06 Aug 2022 12:26:03 +0800</pubDate><author>hust.111qqz@gmail.com (111qqz)</author><guid>https://111qqz.com/en/post/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/caffe-notes/2022-08-06-caffe-source-code-analysis_part12/</guid><description>&lt;h2 class="relative group"&gt;背景
 &lt;div id="背景" class="anchor"&gt;&lt;/div&gt;
 
 &lt;span
 class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100 select-none"&gt;
 &lt;a class="text-primary-300 dark:text-neutral-700 !no-underline" href="#%e8%83%8c%e6%99%af" aria-label="Anchor"&gt;#&lt;/a&gt;
 &lt;/span&gt;
 
&lt;/h2&gt;
&lt;p&gt;2022年惊讶的发现，当时竟然没有写关于softmax的笔记，因此来补充一下。&lt;/p&gt;</description></item><item><title>caffe 源码学习笔记(11) argmax layer</title><link>https://111qqz.com/en/post/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/caffe-notes/2020-05-06-caffe-source-code-analysis_part11/</link><pubDate>Wed, 06 May 2020 21:26:03 +0800</pubDate><author>hust.111qqz@gmail.com (111qqz)</author><guid>https://111qqz.com/en/post/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/caffe-notes/2020-05-06-caffe-source-code-analysis_part11/</guid><description>&lt;h2 class="relative group"&gt;背景
 &lt;div id="背景" class="anchor"&gt;&lt;/div&gt;
 
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 class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100 select-none"&gt;
 &lt;a class="text-primary-300 dark:text-neutral-700 !no-underline" href="#%e8%83%8c%e6%99%af" aria-label="Anchor"&gt;#&lt;/a&gt;
 &lt;/span&gt;
 
&lt;/h2&gt;
&lt;p&gt;似乎没什么背景，继续看 caffe 代码。&lt;/p&gt;</description></item><item><title>caffe 源码学习笔记(10) eltwise layer</title><link>https://111qqz.com/en/post/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/caffe-notes/2020-05-03-caffe-source-code-analysis_part10/</link><pubDate>Sun, 03 May 2020 17:53:22 +0800</pubDate><author>hust.111qqz@gmail.com (111qqz)</author><guid>https://111qqz.com/en/post/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/caffe-notes/2020-05-03-caffe-source-code-analysis_part10/</guid><description>&lt;h2 class="relative group"&gt;背景
 &lt;div id="背景" class="anchor"&gt;&lt;/div&gt;
 
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&lt;/h2&gt;
&lt;p&gt;这个 layer 和 reduce layer 有一些相似，就干脆一起看了。
作用是输入至少两个 blob，然后对每个 blob 中的元素做一些运算，最后得到一个 blob。&lt;/p&gt;</description></item><item><title>caffe 源码学习笔记(9) reduce layer</title><link>https://111qqz.com/en/post/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/caffe-notes/2020-05-03-caffe-source-code-analysis_part9/</link><pubDate>Sun, 03 May 2020 15:16:53 +0800</pubDate><author>hust.111qqz@gmail.com (111qqz)</author><guid>https://111qqz.com/en/post/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/caffe-notes/2020-05-03-caffe-source-code-analysis_part9/</guid><description>&lt;h2 class="relative group"&gt;背景
 &lt;div id="背景" class="anchor"&gt;&lt;/div&gt;
 
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 class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100 select-none"&gt;
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&lt;/h2&gt;
&lt;p&gt;其实没什么背景，继续啃 caffe 代码而已 2333。&lt;/p&gt;</description></item><item><title>caffe 源码学习笔记(8) loss function</title><link>https://111qqz.com/en/post/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/caffe-notes/2020-04-18-caffe-source-code-analysis_part8/</link><pubDate>Sat, 18 Apr 2020 18:33:29 +0800</pubDate><author>hust.111qqz@gmail.com (111qqz)</author><guid>https://111qqz.com/en/post/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/caffe-notes/2020-04-18-caffe-source-code-analysis_part8/</guid><description>&lt;h2 class="relative group"&gt;背景
 &lt;div id="背景" class="anchor"&gt;&lt;/div&gt;
 
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 &lt;/span&gt;
 
&lt;/h2&gt;
&lt;p&gt;虽然不太care 训练的过程，&lt;del&gt;但是由于容易看懂的layer都看得差不多了&lt;/del&gt; 所以打算看一下这些loss function.&lt;/p&gt;</description></item><item><title>caffe 源码学习笔记(7) slice layer</title><link>https://111qqz.com/en/post/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/caffe-notes/2020-04-13-caffe-source-code-analysis_part7/</link><pubDate>Mon, 13 Apr 2020 21:22:54 +0800</pubDate><author>hust.111qqz@gmail.com (111qqz)</author><guid>https://111qqz.com/en/post/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/caffe-notes/2020-04-13-caffe-source-code-analysis_part7/</guid><description>&lt;h2 class="relative group"&gt;背景　
 &lt;div id="背景" class="anchor"&gt;&lt;/div&gt;
 
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 class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100 select-none"&gt;
 &lt;a class="text-primary-300 dark:text-neutral-700 !no-underline" href="#%e8%83%8c%e6%99%af" aria-label="Anchor"&gt;#&lt;/a&gt;
 &lt;/span&gt;
 
&lt;/h2&gt;
&lt;p&gt;OCR 组那边有个 shufflenet 的网络，里面有个 pytorch op 叫 chunk，转成的 onnx 对应的 op 是 &lt;a href="https://github.com/onnx/onnx/blob/master/docs/Operators.md#Split" target="_blank" rel="noreferrer"&gt;split&lt;/a&gt;。&lt;/p&gt;</description></item><item><title>caffe 源码学习笔记(6) reshape layer</title><link>https://111qqz.com/en/post/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/caffe-notes/2020-04-09-caffe-source-code-analysis_part6/</link><pubDate>Thu, 09 Apr 2020 21:03:06 +0800</pubDate><author>hust.111qqz@gmail.com (111qqz)</author><guid>https://111qqz.com/en/post/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/caffe-notes/2020-04-09-caffe-source-code-analysis_part6/</guid><description>&lt;h2 class="relative group"&gt;背景　
 &lt;div id="背景" class="anchor"&gt;&lt;/div&gt;
 
 &lt;span
 class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100 select-none"&gt;
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 &lt;/span&gt;
 
&lt;/h2&gt;
&lt;p&gt;最近在魔改 TensorRT 的 caffe parser。
之前 caffe 模型转到 trt 模型时，有一个修改需要将 reshape layer 的 param 末尾补 1，比较繁琐，于是看了下 caffe 的 reshape layer 的实现。&lt;/p&gt;</description></item><item><title>caffe 源码学习笔记(5) 卷积</title><link>https://111qqz.com/en/post/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/caffe-notes/2020-04-08-caffe-source-code-analysis_part5/</link><pubDate>Wed, 08 Apr 2020 20:29:37 +0800</pubDate><author>hust.111qqz@gmail.com (111qqz)</author><guid>https://111qqz.com/en/post/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/caffe-notes/2020-04-08-caffe-source-code-analysis_part5/</guid><description>&lt;h2 class="relative group"&gt;caffe中卷积运算的实现
 &lt;div id="caffe中卷积运算的实现" class="anchor"&gt;&lt;/div&gt;
 
 &lt;span
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 &lt;a class="text-primary-300 dark:text-neutral-700 !no-underline" href="#caffe%e4%b8%ad%e5%8d%b7%e7%a7%af%e8%bf%90%e7%ae%97%e7%9a%84%e5%ae%9e%e7%8e%b0" aria-label="Anchor"&gt;#&lt;/a&gt;
 &lt;/span&gt;
 
&lt;/h2&gt;
&lt;p&gt;暴力实现的卷积大概是这样子的&lt;/p&gt;</description></item><item><title>caffe 源码学习笔记(4) 激活函数</title><link>https://111qqz.com/en/post/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/caffe-notes/2020-04-07-caffe-source-code-analysis_part4/</link><pubDate>Tue, 07 Apr 2020 23:21:40 +0800</pubDate><author>hust.111qqz@gmail.com (111qqz)</author><guid>https://111qqz.com/en/post/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/caffe-notes/2020-04-07-caffe-source-code-analysis_part4/</guid><description>&lt;p&gt;在看过 caffe 代码的三个核心部分 blob、layer、net 之后，陷入了不知道以什么顺序继续看的困境。&lt;/p&gt;</description></item><item><title>caffe 源码学习笔记(3) Net</title><link>https://111qqz.com/en/post/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/caffe-notes/2020-01-12-caffe-source-code-analysis_part3/</link><pubDate>Sun, 12 Jan 2020 19:18:15 +0800</pubDate><author>hust.111qqz@gmail.com (111qqz)</author><guid>https://111qqz.com/en/post/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/caffe-notes/2020-01-12-caffe-source-code-analysis_part3/</guid><description>&lt;h2 class="relative group"&gt;Net 基本介绍
 &lt;div id="net-基本介绍" class="anchor"&gt;&lt;/div&gt;
 
 &lt;span
 class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100 select-none"&gt;
 &lt;a class="text-primary-300 dark:text-neutral-700 !no-underline" href="#net-%e5%9f%ba%e6%9c%ac%e4%bb%8b%e7%bb%8d" aria-label="Anchor"&gt;#&lt;/a&gt;
 &lt;/span&gt;
 
&lt;/h2&gt;
&lt;p&gt;网络通过组合与自动微分，共同定义一个函数及其梯度。&lt;/p&gt;</description></item><item><title>caffe 源码学习笔记(2) Layer</title><link>https://111qqz.com/en/post/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/caffe-notes/2020-01-11-caffe-source-code-analysis_part2/</link><pubDate>Sat, 11 Jan 2020 17:47:05 +0800</pubDate><author>hust.111qqz@gmail.com (111qqz)</author><guid>https://111qqz.com/en/post/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/caffe-notes/2020-01-11-caffe-source-code-analysis_part2/</guid><description>&lt;h2 class="relative group"&gt;layer 整体介绍
 &lt;div id="layer-整体介绍" class="anchor"&gt;&lt;/div&gt;
 
 &lt;span
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 &lt;a class="text-primary-300 dark:text-neutral-700 !no-underline" href="#layer-%e6%95%b4%e4%bd%93%e4%bb%8b%e7%bb%8d" aria-label="Anchor"&gt;#&lt;/a&gt;
 &lt;/span&gt;
 
&lt;/h2&gt;
&lt;p&gt;layer 是模型计算的基本单元，
类似于 pytorch 或者其他深度学习框架的 op。
layer 中的数据流向为：输入若干个 blob，称之为 &amp;ldquo;bottom blob&amp;rdquo;，经过 layer 的计算后，输出若干个 blob，称之为 &amp;ldquo;top blob&amp;rdquo;。&lt;/p&gt;</description></item><item><title>caffe 源码学习笔记(1) Blob</title><link>https://111qqz.com/en/post/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/caffe-notes/2020-01-10-caffe-source-code-analysis-part1/</link><pubDate>Fri, 10 Jan 2020 11:24:23 +0800</pubDate><author>hust.111qqz@gmail.com (111qqz)</author><guid>https://111qqz.com/en/post/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/caffe-notes/2020-01-10-caffe-source-code-analysis-part1/</guid><description>&lt;p&gt;迫于生计，开始看 caffe 代码。
会侧重于分析 inference 部分。&lt;/p&gt;
&lt;p&gt;整体的依赖关系是：Net 由 Layer 组成，Layer 之间通过 Blob 传递数据。后面几篇会分别展开这三者。&lt;/p&gt;</description></item></channel></rss>