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From wang...@apache.org
Subject svn commit: r1833463 [2/3] - in /incubator/singa/site/trunk: en/ en/_sources/ en/_sources/docs/model_zoo/examples/ en/_sources/releases/ en/docs/model_zoo/examples/ en/releases/ zh/ zh/_sources/docs/model_zoo/ zh/_sources/docs/model_zoo/imagenet/densen...
Date Wed, 13 Jun 2018 13:37:47 GMT
Modified: incubator/singa/site/trunk/zh/docs/model_zoo/imagenet/alexnet/README.html
URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/zh/docs/model_zoo/imagenet/alexnet/README.html?rev=1833463&r1=1833462&r2=1833463&view=diff
==============================================================================
--- incubator/singa/site/trunk/zh/docs/model_zoo/imagenet/alexnet/README.html (original)
+++ incubator/singa/site/trunk/zh/docs/model_zoo/imagenet/alexnet/README.html Wed Jun 13 13:37:46 2018
@@ -30,8 +30,8 @@
   <link rel="stylesheet" href="../../../../_static/pygments.css" type="text/css" />
     <link rel="index" title="Index" href="../../../../genindex.html" />
     <link rel="search" title="Search" href="../../../../search.html" />
-    <link rel="next" title="用GoogleNet做图像分类" href="../googlenet/README.html" />
-    <link rel="prev" title="在文本上训练Char-RNN" href="../../char-rnn/README.html" />
+    <link rel="next" title="用DenseNet做图像分类" href="../densenet/README.html" />
+    <link rel="prev" title="在MNIST数据集上训练RBM模型" href="../../mnist/README.html" />
     <link href="../../../../_static/style.css" rel="stylesheet" type="text/css">
     <!--link href="../../../../_static/fontawesome-all.min.css" rel="stylesheet" type="text/css"-->
 	<link rel="stylesheet" href="https://use.fontawesome.com/releases/v5.0.13/css/all.css" integrity="sha384-DNOHZ68U8hZfKXOrtjWvjxusGo9WQnrNx2sqG0tfsghAvtVlRW3tvkXWZh58N9jp" crossorigin="anonymous">
@@ -119,11 +119,16 @@
 <li class="toctree-l2 current"><a class="reference internal" href="../../index.html">模型库</a><ul class="current">
 <li class="toctree-l3"><a class="reference internal" href="../../cifar10/README.html">在Cifar-10上训练CNN</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../char-rnn/README.html">在文本上训练Char-RNN</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../../mnist/README.html">在MNIST数据集上训练RBM模型</a></li>
 <li class="toctree-l3 current"><a class="current reference internal" href="#">在ImageNet上训练AlexNet</a><ul>
 <li class="toctree-l4"><a class="reference internal" href="#">操作说明</a></li>
 </ul>
 </li>
+<li class="toctree-l3"><a class="reference internal" href="../densenet/README.html">用DenseNet做图像分类</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../googlenet/README.html">用GoogleNet做图像分类</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../inception/README.html">用Inception V4做图像分类</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../resnet/README.html">用ResNet做图像分类</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../vgg/README.html">用VGG做图像分类</a></li>
 </ul>
 </li>
 </ul>
@@ -279,10 +284,10 @@
   
     <div class="rst-footer-buttons" role="navigation" aria-label="footer navigation">
       
-        <a href="../googlenet/README.html" class="btn btn-neutral float-right" title="用GoogleNet做图像分类" accesskey="n" rel="next">Next <span class="fa fa-arrow-circle-right"></span></a>
+        <a href="../densenet/README.html" class="btn btn-neutral float-right" title="用DenseNet做图像分类" accesskey="n" rel="next">Next <span class="fa fa-arrow-circle-right"></span></a>
       
       
-        <a href="../../char-rnn/README.html" class="btn btn-neutral" title="在文本上训练Char-RNN" accesskey="p" rel="prev"><span class="fa fa-arrow-circle-left"></span> Previous</a>
+        <a href="../../mnist/README.html" class="btn btn-neutral" title="在MNIST数据集上训练RBM模型" accesskey="p" rel="prev"><span class="fa fa-arrow-circle-left"></span> Previous</a>
       
     </div>
   

Added: incubator/singa/site/trunk/zh/docs/model_zoo/imagenet/densenet/README.html
URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/zh/docs/model_zoo/imagenet/densenet/README.html?rev=1833463&view=auto
==============================================================================
--- incubator/singa/site/trunk/zh/docs/model_zoo/imagenet/densenet/README.html (added)
+++ incubator/singa/site/trunk/zh/docs/model_zoo/imagenet/densenet/README.html Wed Jun 13 13:37:46 2018
@@ -0,0 +1,375 @@
+
+
+
+<!DOCTYPE html>
+<!--[if IE 8]><html class="no-js lt-ie9" lang="en" > <![endif]-->
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+  <meta name="viewport" content="width=device-width, initial-scale=1.0">
+  
+  <title>用DenseNet做图像分类 &mdash; incubator-singa 1.1.0 documentation</title>
+  
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+    <link rel="index" title="Index" href="../../../../genindex.html" />
+    <link rel="search" title="Search" href="../../../../search.html" />
+    <link rel="next" title="用GoogleNet做图像分类" href="../googlenet/README.html" />
+    <link rel="prev" title="在ImageNet上训练AlexNet" href="../alexnet/README.html" />
+    <link href="../../../../_static/style.css" rel="stylesheet" type="text/css">
+    <!--link href="../../../../_static/fontawesome-all.min.css" rel="stylesheet" type="text/css"-->
+	<link rel="stylesheet" href="https://use.fontawesome.com/releases/v5.0.13/css/all.css" integrity="sha384-DNOHZ68U8hZfKXOrtjWvjxusGo9WQnrNx2sqG0tfsghAvtVlRW3tvkXWZh58N9jp" crossorigin="anonymous">
+    <style>
+	.fa:hover {
+	    opacity: 0.7;
+	}
+	.fab:hover {
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+<li class="toctree-l2"><a class="reference internal" href="../../../data.html">数据(Data)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../image_tool.html">图像工具</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../utils.html">Utils</a></li>
+<li class="toctree-l2 current"><a class="reference internal" href="../../index.html">模型库</a><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="../../cifar10/README.html">在Cifar-10上训练CNN</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../../char-rnn/README.html">在文本上训练Char-RNN</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../../mnist/README.html">在MNIST数据集上训练RBM模型</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../alexnet/README.html">在ImageNet上训练AlexNet</a></li>
+<li class="toctree-l3 current"><a class="current reference internal" href="#">用DenseNet做图像分类</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="#">操作说明</a></li>
+<li class="toctree-l4"><a class="reference internal" href="#">详细信息</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../googlenet/README.html">用GoogleNet做图像分类</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../inception/README.html">用Inception V4做图像分类</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../resnet/README.html">用ResNet做图像分类</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../vgg/README.html">用VGG做图像分类</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption"><span class="caption-text">开发</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../../../../develop/schedule.html">开发时间表</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../../develop/how-contribute.html">如何贡献给 SINGA</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../../develop/contribute-code.html">如何贡献代码</a></li>
+</ul>
+<p class="caption"><span class="caption-text">社区</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../../../../community/source-repository.html">源代码库</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../../community/mail-lists.html">项目邮件列表</a></li>
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+        
+          <li><a href="../../index.html">模型库</a> &raquo;</li>
+        
+      <li>用DenseNet做图像分类</li>
+    
+    
+      <li class="wy-breadcrumbs-aside">
+        
+            
+        
+      </li>
+    
+  </ul>
+
+  
+  <hr/>
+</div>
+          <div role="main" class="document" itemscope="itemscope" itemtype="http://schema.org/Article">
+           <div itemprop="articleBody">
+            
+  <p>name: DenseNet on ImageNet SINGA version: 1.1.1 SINGA commit: license: https://github.com/pytorch/vision/blob/master/torchvision/models/densenet.py</p>
+<hr class="docutils" />
+<div class="section" id="densenet">
+<span id="densenet"></span><h1>用DenseNet做图像分类<a class="headerlink" href="#densenet" title="Permalink to this headline">¶</a></h1>
+<p>这个例子中,我们将PyTorch训练好的DenseNet转换为SINGA模型以用作图像分类。</p>
+<div class="section" id="">
+<span id="id1"></span><h2>操作说明<a class="headerlink" href="#" title="Permalink to this headline">¶</a></h2>
+<ul>
+<li><p class="first">下载参数的checkpoint文件到如下目录</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>  $ wget https://s3-ap-southeast-1.amazonaws.com/dlfile/densenet/densenet-121.tar.gz
+  $ wget https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/synset_words.txt
+  $ tar xvf densenet-121.tar.gz
+</pre></div>
+</div>
+</li>
+<li><p class="first">运行程序</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>  $ python serve.py -h
+</pre></div>
+</div>
+</li>
+<li><p class="first">运行程序</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>  # use cpu
+  $ python serve.py --use_cpu --parameter_file densenet-121.pickle --depth 121 &amp;
+  # use gpu
+  $ python serve.py --parameter_file densenet-121.pickle --depth 121 &amp;
+</pre></div>
+</div>
+</li>
+<li><p class="first">提交图片进行分类</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>  $ curl -i -F image=@image1.jpg http://localhost:9999/api
+  $ curl -i -F image=@image2.jpg http://localhost:9999/api
+  $ curl -i -F image=@image3.jpg http://localhost:9999/api
+</pre></div>
+</div>
+</li>
+</ul>
+<p>image1.jpg, image2.jpg和image3.jpg应该在执行指令前就已被下载。</p>
+</div>
+<div class="section" id="">
+<span id="id2"></span><h2>详细信息<a class="headerlink" href="#" title="Permalink to this headline">¶</a></h2>
+<p>用<code class="docutils literal notranslate"><span class="pre">convert.py</span></code>从Pytorch参数文件中提取参数值</p>
+<ul>
+<li><p class="first">运行程序</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>  $ python convert.py -h
+</pre></div>
+</div>
+</li>
+</ul>
+</div>
+</div>
+
+
+           </div>
+           
+          </div>
+          <footer>
+  
+    <div class="rst-footer-buttons" role="navigation" aria-label="footer navigation">
+      
+        <a href="../googlenet/README.html" class="btn btn-neutral float-right" title="用GoogleNet做图像分类" accesskey="n" rel="next">Next <span class="fa fa-arrow-circle-right"></span></a>
+      
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+        <a href="../alexnet/README.html" class="btn btn-neutral" title="在ImageNet上训练AlexNet" accesskey="p" rel="prev"><span class="fa fa-arrow-circle-left"></span> Previous</a>
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+
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+    <span class="fa fa-book"> incubator-singa </span>
+    v: latest
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+          <dt>Languages</dt>
+          <dd><a href="../../../../../en/index.html">English</a></dd>
+          <dd><a href="../../../../../zh/index.html">中文</a></dd>
+      </dl>
+      <dl>
+          <dt>Versions</dt>
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+          <dd><a href="http://singa.apache.org/v1.1.0/">1.1</a></dd>
+      </dl>
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+  <a href="https://aws.amazon.com/marketplace/seller-profile?id=5bcac385-12c4-4802-aec7-351e09b77b4c" class="fab fa-aws" style="padding: 10px; font-size: 20px; width: 30px; text-align: center; text-decoration: none; margin: 5px 2px;"></a>
+  <a href="https://hub.docker.com/r/nusdbsystem/singa/" class="fab fa-docker" style="padding: 10px; font-size: 20px; width: 30px; text-align: center; text-decoration: none; margin: 5px 2px;"></a> 
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+
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+ <a href="https://github.com/apache/incubator-singa">
+    <img style="position: absolute; top: 0; right: 0; border: 0; z-index: 10000;"
+        src="https://s3.amazonaws.com/github/ribbons/forkme_right_orange_ff7600.png"
+        alt="Fork me on GitHub">
+</a>
+
+ 
+
+
+</body>
+</html>
\ No newline at end of file

Modified: incubator/singa/site/trunk/zh/docs/model_zoo/imagenet/googlenet/README.html
URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/zh/docs/model_zoo/imagenet/googlenet/README.html?rev=1833463&r1=1833462&r2=1833463&view=diff
==============================================================================
--- incubator/singa/site/trunk/zh/docs/model_zoo/imagenet/googlenet/README.html (original)
+++ incubator/singa/site/trunk/zh/docs/model_zoo/imagenet/googlenet/README.html Wed Jun 13 13:37:46 2018
@@ -30,8 +30,8 @@
   <link rel="stylesheet" href="../../../../_static/pygments.css" type="text/css" />
     <link rel="index" title="Index" href="../../../../genindex.html" />
     <link rel="search" title="Search" href="../../../../search.html" />
-    <link rel="next" title="开发时间表" href="../../../../develop/schedule.html" />
-    <link rel="prev" title="在ImageNet上训练AlexNet" href="../alexnet/README.html" />
+    <link rel="next" title="用Inception V4做图像分类" href="../inception/README.html" />
+    <link rel="prev" title="用DenseNet做图像分类" href="../densenet/README.html" />
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@@ -119,12 +119,17 @@
 <li class="toctree-l2 current"><a class="reference internal" href="../../index.html">模型库</a><ul class="current">
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 <li class="toctree-l3"><a class="reference internal" href="../../char-rnn/README.html">在文本上训练Char-RNN</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../../mnist/README.html">在MNIST数据集上训练RBM模型</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../alexnet/README.html">在ImageNet上训练AlexNet</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../densenet/README.html">用DenseNet做图像分类</a></li>
 <li class="toctree-l3 current"><a class="current reference internal" href="#">用GoogleNet做图像分类</a><ul>
 <li class="toctree-l4"><a class="reference internal" href="#">操作说明</a></li>
 <li class="toctree-l4"><a class="reference internal" href="#">详细信息</a></li>
 </ul>
 </li>
+<li class="toctree-l3"><a class="reference internal" href="../inception/README.html">用Inception V4做图像分类</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../resnet/README.html">用ResNet做图像分类</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../vgg/README.html">用VGG做图像分类</a></li>
 </ul>
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@@ -281,10 +286,10 @@
   
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+        <a href="../densenet/README.html" class="btn btn-neutral" title="用DenseNet做图像分类" accesskey="p" rel="prev"><span class="fa fa-arrow-circle-left"></span> Previous</a>
       
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Added: incubator/singa/site/trunk/zh/docs/model_zoo/imagenet/inception/README.html
URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/zh/docs/model_zoo/imagenet/inception/README.html?rev=1833463&view=auto
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--- incubator/singa/site/trunk/zh/docs/model_zoo/imagenet/inception/README.html (added)
+++ incubator/singa/site/trunk/zh/docs/model_zoo/imagenet/inception/README.html Wed Jun 13 13:37:46 2018
@@ -0,0 +1,365 @@
+
+
+
+<!DOCTYPE html>
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+    <style>
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+<li class="toctree-l1"><a class="reference internal" href="../../../../downloads.html">下载 SINGA</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../../../index.html">文档</a><ul class="current">
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+<li class="toctree-l2"><a class="reference internal" href="../../../device.html">设备(Device)</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../layer.html">层(Layer)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../net.html">前馈网络</a></li>
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+<li class="toctree-l2"><a class="reference internal" href="../../../data.html">数据(Data)</a></li>
+<li class="toctree-l2"><a class="reference internal" href="../../../image_tool.html">图像工具</a></li>
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+<li class="toctree-l2 current"><a class="reference internal" href="../../index.html">模型库</a><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="../../cifar10/README.html">在Cifar-10上训练CNN</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../../char-rnn/README.html">在文本上训练Char-RNN</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../../mnist/README.html">在MNIST数据集上训练RBM模型</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../alexnet/README.html">在ImageNet上训练AlexNet</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../densenet/README.html">用DenseNet做图像分类</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../googlenet/README.html">用GoogleNet做图像分类</a></li>
+<li class="toctree-l3 current"><a class="current reference internal" href="#">用Inception V4做图像分类</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="#">操作说明</a></li>
+<li class="toctree-l4"><a class="reference internal" href="#">详细信息</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="../resnet/README.html">用ResNet做图像分类</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../vgg/README.html">用VGG做图像分类</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption"><span class="caption-text">开发</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../../../../develop/schedule.html">开发时间表</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../../develop/how-contribute.html">如何贡献给 SINGA</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../../../develop/contribute-code.html">如何贡献代码</a></li>
+</ul>
+<p class="caption"><span class="caption-text">社区</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../../../../community/source-repository.html">源代码库</a></li>
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+        
+          <li><a href="../../index.html">模型库</a> &raquo;</li>
+        
+      <li>用Inception V4做图像分类</li>
+    
+    
+      <li class="wy-breadcrumbs-aside">
+        
+            
+        
+      </li>
+    
+  </ul>
+
+  
+  <hr/>
+</div>
+          <div role="main" class="document" itemscope="itemscope" itemtype="http://schema.org/Article">
+           <div itemprop="articleBody">
+            
+  <p>name: Inception V4 on ImageNet SINGA version: 1.1.1 SINGA commit: parameter_url: https://s3-ap-southeast-1.amazonaws.com/dlfile/inception_v4.tar.gz parameter_sha1: 5fdd6f5d8af8fd10e7321d9b38bb87ef14e80d56 license: https://github.com/tensorflow/models/tree/master/slim</p>
+<hr class="docutils" />
+<div class="section" id="inception-v4">
+<span id="inception-v4"></span><h1>用Inception V4做图像分类<a class="headerlink" href="#inception-v4" title="Permalink to this headline">¶</a></h1>
+<p>这个例子中,我们将Tensorflow训练好的Inception V4转换为SINGA模型以用作图像分类。</p>
+<div class="section" id="">
+<span id="id1"></span><h2>操作说明<a class="headerlink" href="#" title="Permalink to this headline">¶</a></h2>
+<ul>
+<li><p class="first">下载参数的checkpoint文件到如下目录</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>  $ wget
+  $ tar xvf inception_v4.tar.gz
+</pre></div>
+</div>
+</li>
+<li><p class="first">运行程序</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>  # use cpu
+  $ python serve.py -C &amp;
+  # use gpu
+  $ python serve.py &amp;
+</pre></div>
+</div>
+</li>
+<li><p class="first">提交图片进行分类</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>  $ curl -i -F image=@image1.jpg http://localhost:9999/api
+  $ curl -i -F image=@image2.jpg http://localhost:9999/api
+  $ curl -i -F image=@image3.jpg http://localhost:9999/api
+</pre></div>
+</div>
+</li>
+</ul>
+<p>image1.jpg, image2.jpg和image3.jpg应该在执行指令前就已被下载。</p>
+</div>
+<div class="section" id="">
+<span id="id2"></span><h2>详细信息<a class="headerlink" href="#" title="Permalink to this headline">¶</a></h2>
+<p>我们首先从Tensorflow的checkpoint文件中提取参数值到一个pickle版本中。 下载并解压缩checkpoint文件后,运行以下脚本</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>$ python convert.py --file_name=inception_v4.ckpt
+</pre></div>
+</div>
+</div>
+</div>
+
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+           </div>
+           
+          </div>
+          <footer>
+  
+    <div class="rst-footer-buttons" role="navigation" aria-label="footer navigation">
+      
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+      
+      
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+        alt="Fork me on GitHub">
+</a>
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+</html>
\ No newline at end of file

Added: incubator/singa/site/trunk/zh/docs/model_zoo/imagenet/resnet/README.html
URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/zh/docs/model_zoo/imagenet/resnet/README.html?rev=1833463&view=auto
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--- incubator/singa/site/trunk/zh/docs/model_zoo/imagenet/resnet/README.html (added)
+++ incubator/singa/site/trunk/zh/docs/model_zoo/imagenet/resnet/README.html Wed Jun 13 13:37:46 2018
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+    <style>
+	.fa:hover {
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+<li class="toctree-l3"><a class="reference internal" href="../../char-rnn/README.html">在文本上训练Char-RNN</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../../mnist/README.html">在MNIST数据集上训练RBM模型</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../alexnet/README.html">在ImageNet上训练AlexNet</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../densenet/README.html">用DenseNet做图像分类</a></li>
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+      <li>用ResNet做图像分类</li>
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+  <p>name: Resnets on ImageNet SINGA version: 1.1 SINGA commit: 45ec92d8ffc1fa1385a9307fdf07e21da939ee2f parameter_url: https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/resnet-18.tar.gz license: Apache V2, https://github.com/facebook/fb.resnet.torch/blob/master/LICENSE</p>
+<hr class="docutils" />
+<div class="section" id="resnet">
+<span id="resnet"></span><h1>用ResNet做图像分类<a class="headerlink" href="#resnet" title="Permalink to this headline">¶</a></h1>
+<p>这个例子中,我们将Torch训练好的ResNet转换为SINGA模型以用作图像分类。</p>
+<div class="section" id="">
+<span id="id1"></span><h2>操作说明<a class="headerlink" href="#" title="Permalink to this headline">¶</a></h2>
+<ul>
+<li><p class="first">下载参数的checkpoint文件到如下目录</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>  $ wget https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/resnet-18.tar.gz
+  $ wget https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/synset_words.txt
+  $ tar xvf resnet-18.tar.gz
+</pre></div>
+</div>
+</li>
+<li><p class="first">运行程序</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>  $ python serve.py -h
+</pre></div>
+</div>
+</li>
+<li><p class="first">运行程序</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>  # use cpu
+  $ python serve.py --use_cpu --parameter_file resnet-18.pickle --model resnet --depth 18 &amp;
+  # use gpu
+  $ python serve.py --parameter_file resnet-18.pickle --model resnet --depth 18 &amp;
+</pre></div>
+</div>
+<p>我们提供了以下模型和深度配置的参数文件:</p>
+<ul class="simple">
+<li>resnet (原始 resnet), <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/resnet-18.tar.gz">18</a>|<a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/resnet-34.tar.gz">34</a>|<a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/resnet-101.tar.gz">101</a>|<a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/resnet-152.tar.gz">152</a></li>
+<li>包括批量正则, <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/resnet-50.tar.gz">50</a></li>
+<li>wrn (宽 resnet), <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/wrn-50-2.tar.gz">50</a></li>
+<li>preact (包括 pre-activation 的 resnet) <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/resnet-200.tar.gz">200</a></li>
+</ul>
+</li>
+</ul>
+<ul>
+<li><p class="first">提交图片进行分类</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>  $ curl -i -F image=@image1.jpg http://localhost:9999/api
+  $ curl -i -F image=@image2.jpg http://localhost:9999/api
+  $ curl -i -F image=@image3.jpg http://localhost:9999/api
+</pre></div>
+</div>
+</li>
+</ul>
+<p>image1.jpg, image2.jpg和image3.jpg应该在执行指令前就已被下载。</p>
+</div>
+<div class="section" id="">
+<span id="id2"></span><h2>详细信息<a class="headerlink" href="#" title="Permalink to this headline">¶</a></h2>
+<p>用<code class="docutils literal notranslate"><span class="pre">convert.py</span></code>从torch参数文件中提取参数值</p>
+<ul>
+<li><p class="first">运行程序</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>  $ python convert.py -h
+</pre></div>
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+<li class="toctree-l2 current"><a class="reference internal" href="../../index.html">模型库</a><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="../../cifar10/README.html">在Cifar-10上训练CNN</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../../char-rnn/README.html">在文本上训练Char-RNN</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../../mnist/README.html">在MNIST数据集上训练RBM模型</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../alexnet/README.html">在ImageNet上训练AlexNet</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../densenet/README.html">用DenseNet做图像分类</a></li>
+<li class="toctree-l3"><a class="reference internal" href="../googlenet/README.html">用GoogleNet做图像分类</a></li>
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+<li class="toctree-l3 current"><a class="current reference internal" href="#">用VGG做图像分类</a><ul>
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+          <li><a href="../../index.html">模型库</a> &raquo;</li>
+        
+      <li>用VGG做图像分类</li>
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+          <div role="main" class="document" itemscope="itemscope" itemtype="http://schema.org/Article">
+           <div itemprop="articleBody">
+            
+  <p>name: VGG on ImageNet SINGA version: 1.1.1 SINGA commit: license: https://github.com/pytorch/vision/blob/master/torchvision/models/vgg.py</p>
+<hr class="docutils" />
+<div class="section" id="vgg">
+<span id="vgg"></span><h1>用VGG做图像分类<a class="headerlink" href="#vgg" title="Permalink to this headline">¶</a></h1>
+<p>这个例子中,我们将PyTorch训练好的VGG转换为SINGA模型以用作图像分类。</p>
+<div class="section" id="">
+<span id="id1"></span><h2>操作说明<a class="headerlink" href="#" title="Permalink to this headline">¶</a></h2>
+<ul>
+<li><p class="first">下载参数的checkpoint文件到如下目录</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>  $ wget https://s3-ap-southeast-1.amazonaws.com/dlfile/vgg/vgg11.tar.gz
+  $ wget https://s3-ap-southeast-1.amazonaws.com/dlfile/resnet/synset_words.txt
+  $ tar xvf vgg11.tar.gz
+</pre></div>
+</div>
+</li>
+<li><p class="first">运行程序</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>  $ python serve.py -h
+</pre></div>
+</div>
+</li>
+<li><p class="first">例子</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>  # use cpu
+  $ python serve.py --use_cpu --parameter_file vgg11.pickle --depth 11 &amp;
+  # use gpu
+  $ python serve.py --parameter_file vgg11.pickle --depth 11 &amp;
+</pre></div>
+</div>
+<p>我们提供了以下模型和深度配置的参数文件:</p>
+<ul class="simple">
+<li>不使用批量正则, <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/vgg/vgg11.tar.gz">11</a>, <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/vgg/vgg13.tar.gz">13</a>, <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/vgg/vgg16.tar.gz">16</a>, <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/vgg/vgg19.tar.gz">19</a></li>
+<li>使用批量正则, <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/vgg/vgg11_bn.tar.gz">11</a>, <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/vgg/vgg13_bn.tar.gz">13</a>, <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/vgg/vgg16_bn.tar.gz">16</a>, <a class="reference external" href="https://s3-ap-southeast-1.amazonaws.com/dlfile/vgg/vgg19_bn.tar.gz">19</a></li>
+</ul>
+</li>
+</ul>
+<ul>
+<li><p class="first">提交图片进行分类</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>  $ curl -i -F image=@image1.jpg http://localhost:9999/api
+  $ curl -i -F image=@image2.jpg http://localhost:9999/api
+  $ curl -i -F image=@image3.jpg http://localhost:9999/api
+</pre></div>
+</div>
+</li>
+</ul>
+<p>image1.jpg, image2.jpg和image3.jpg应该在执行指令前就已被下载。</p>
+</div>
+<div class="section" id="">
+<span id="id2"></span><h2>详细信息<a class="headerlink" href="#" title="Permalink to this headline">¶</a></h2>
+<p>用<code class="docutils literal notranslate"><span class="pre">convert.py</span></code>从Pytorch参数文件中提取参数值</p>
+<ul>
+<li><p class="first">运行程序</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span>  $ python convert.py -h
+</pre></div>
+</div>
+</li>
+</ul>
+</div>
+</div>
+
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+        &copy; Copyright 2018 The Apache Software Foundation. All rights reserved. Apache SINGA, Apache, the Apache feather logo, and the Apache SINGA project logos are trademarks of The Apache Software Foundation. All other marks mentioned may be trademarks or registered trademarks of their respective owners..
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+  <span class="rst-current-version" data-toggle="rst-current-version">
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+    v: latest
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+          <dt>Languages</dt>
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+          <dd><a href="../../../../../zh/index.html">中文</a></dd>
+      </dl>
+      <dl>
+          <dt>Versions</dt>
+          <dd><a href="http://singa.apache.org/v0.3.0/">0.3</a></dd>
+          <dd><a href="http://singa.apache.org/v1.1.0/">1.1</a></dd>
+      </dl>
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+  <a href="https://hub.docker.com/r/nusdbsystem/singa/" class="fab fa-docker" style="padding: 10px; font-size: 20px; width: 30px; text-align: center; text-decoration: none; margin: 5px 2px;"></a> 
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+
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+    <img style="position: absolute; top: 0; right: 0; border: 0; z-index: 10000;"
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+        alt="Fork me on GitHub">
+</a>
+
+ 
+
+
+</body>
+</html>
\ No newline at end of file

Modified: incubator/singa/site/trunk/zh/docs/model_zoo/index.html
URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/zh/docs/model_zoo/index.html?rev=1833463&r1=1833462&r2=1833463&view=diff
==============================================================================
--- incubator/singa/site/trunk/zh/docs/model_zoo/index.html (original)
+++ incubator/singa/site/trunk/zh/docs/model_zoo/index.html Wed Jun 13 13:37:46 2018
@@ -119,8 +119,13 @@
 <li class="toctree-l2 current"><a class="current reference internal" href="#">模型库</a><ul>
 <li class="toctree-l3"><a class="reference internal" href="cifar10/README.html">在Cifar-10上训练CNN</a></li>
 <li class="toctree-l3"><a class="reference internal" href="char-rnn/README.html">在文本上训练Char-RNN</a></li>
+<li class="toctree-l3"><a class="reference internal" href="mnist/README.html">在MNIST数据集上训练RBM模型</a></li>
 <li class="toctree-l3"><a class="reference internal" href="imagenet/alexnet/README.html">在ImageNet上训练AlexNet</a></li>
+<li class="toctree-l3"><a class="reference internal" href="imagenet/densenet/README.html">用DenseNet做图像分类</a></li>
 <li class="toctree-l3"><a class="reference internal" href="imagenet/googlenet/README.html">用GoogleNet做图像分类</a></li>
+<li class="toctree-l3"><a class="reference internal" href="imagenet/inception/README.html">用Inception V4做图像分类</a></li>
+<li class="toctree-l3"><a class="reference internal" href="imagenet/resnet/README.html">用ResNet做图像分类</a></li>
+<li class="toctree-l3"><a class="reference internal" href="imagenet/vgg/README.html">用VGG做图像分类</a></li>
 </ul>
 </li>
 </ul>
@@ -220,6 +225,10 @@
 <li class="toctree-l2"><a class="reference internal" href="char-rnn/README.html#">操作说明</a></li>
 </ul>
 </li>
+<li class="toctree-l1"><a class="reference internal" href="mnist/README.html">在MNIST数据集上训练RBM模型</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="mnist/README.html#">操作说明</a></li>
+</ul>
+</li>
 <li class="toctree-l1"><a class="reference internal" href="imagenet/alexnet/README.html">在ImageNet上训练AlexNet</a><ul>
 <li class="toctree-l2"><a class="reference internal" href="imagenet/alexnet/README.html#">操作说明</a><ul>
 <li class="toctree-l3"><a class="reference internal" href="imagenet/alexnet/README.html#singa">编译SINGA</a></li>
@@ -230,11 +239,31 @@
 </li>
 </ul>
 </li>
+<li class="toctree-l1"><a class="reference internal" href="imagenet/densenet/README.html">用DenseNet做图像分类</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="imagenet/densenet/README.html#">操作说明</a></li>
+<li class="toctree-l2"><a class="reference internal" href="imagenet/densenet/README.html#">详细信息</a></li>
+</ul>
+</li>
 <li class="toctree-l1"><a class="reference internal" href="imagenet/googlenet/README.html">用GoogleNet做图像分类</a><ul>
 <li class="toctree-l2"><a class="reference internal" href="imagenet/googlenet/README.html#">操作说明</a></li>
 <li class="toctree-l2"><a class="reference internal" href="imagenet/googlenet/README.html#">详细信息</a></li>
 </ul>
 </li>
+<li class="toctree-l1"><a class="reference internal" href="imagenet/inception/README.html">用Inception V4做图像分类</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="imagenet/inception/README.html#">操作说明</a></li>
+<li class="toctree-l2"><a class="reference internal" href="imagenet/inception/README.html#">详细信息</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="imagenet/resnet/README.html">用ResNet做图像分类</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="imagenet/resnet/README.html#">操作说明</a></li>
+<li class="toctree-l2"><a class="reference internal" href="imagenet/resnet/README.html#">详细信息</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="imagenet/vgg/README.html">用VGG做图像分类</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="imagenet/vgg/README.html#">操作说明</a></li>
+<li class="toctree-l2"><a class="reference internal" href="imagenet/vgg/README.html#">详细信息</a></li>
+</ul>
+</li>
 </ul>
 </div>
 </div>



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