Modified: incubator/singa/site/trunk/zh/docs/software_stack.html
URL: 
http://svn.apache.org/viewvc/incubator/singa/site/trunk/zh/docs/software_stack.html?rev=1858059&r1=1858058&r2=1858059&view=diff
==============================================================================
--- incubator/singa/site/trunk/zh/docs/software_stack.html (original)
+++ incubator/singa/site/trunk/zh/docs/software_stack.html Wed Apr 24 14:57:35 
2019
@@ -1,5 +1,5 @@
 
- 
+
 
 <!DOCTYPE html>
 <!--[if IE 8]><html class="no-js lt-ie9" lang="en" > <![endif]-->
@@ -9,7 +9,7 @@
   
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>软件架构 &mdash; incubator-singa 2.0.0 documentation</title>
+  <title>软件架构 &mdash; incubator-singa 1.1.0 documentation</title>
   
 
   
@@ -38,18 +38,18 @@
     <link rel="search" title="Search" href="../search.html" />
     <link rel="next" title="设备(Device)" href="device.html" />
     <link rel="prev" title="安装" href="installation.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 {
-       opacity: 0.7;
-   }
-     </style>
- 
+    <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 {
+           opacity: 0.7;
+       }
+    </style>
+
 </head>
 
 <body class="wy-body-for-nav">
@@ -212,15 +212,15 @@
 <p>张量(<a class="reference external" 
href="tensor.html">Tensor</a>)和设备(<a class="reference external" 
href="device.html">Device</a>)是SINGA的两个核心抽象类。 
Tensor代表了一个多维数组,存储了模型的变量并且为机器学ä¹
 ç®—法提供线性代数的操作,这些操作包
括矩阵乘法和随机函数。每个Tensor实例被分é…
åœ¨ä¸€ä¸ªè®¾å¤‡å®žä¾‹ä¸Šã€‚ 
每个Device实例被创建在一台硬件设备上,如GPU或CPUæ 
¸ä¸Šã€‚设备类用于管理张量所占用的内存以及在执行单å…
ƒä¸Šæ‰§è¡Œå¼ é‡æ“ä½œï¼Œæ¯”如CPU线程æˆ
 –CUDA流。</p>
 
<p>依赖于硬件和编程语言,SINGA实现了以下特定的设备类:</p>
 <ul class="simple">
-<li><strong>CudaGPU</strong> 代表一个Nvidia GPU。 执行单å…
ƒæ˜¯CUDA流。</li>
-<li><strong>CppCPU</strong> 代表一个CPU。 执行单元是CPU线程。</li>
-<li><strong>OpenclGPU</strong> 代表Nvidia和AMD的GPU。执行单å…
ƒæ˜¯CommandQueues。OpenCL和很多硬件设备å…
¼å®¹ï¼Œæ¯”如FPGA和ARM,所以OpenclGPU可以扩展到其他设备上。</li>
+<li><p><strong>CudaGPU</strong> 代表一个Nvidia GPU。 执行单å…
ƒæ˜¯CUDA流。</p></li>
+<li><p><strong>CppCPU</strong> 代表一个CPU。 执行单å…
ƒæ˜¯CPU线程。</p></li>
+<li><p><strong>OpenclGPU</strong> 代表Nvidia和AMD的GPU。执行单å…
ƒæ˜¯CommandQueues。OpenCL和很多硬件设备å…
¼å®¹ï¼Œæ¯”如FPGA和ARM,所以OpenclGPU可以扩展到å…
¶ä»–设备上。</p></li>
 </ul>
 <p>不同类型的设备使用不同编程语言书写用于张量操作的æ 
¸å‡½æ•°ï¼Œ</p>
 <ul class="simple">
-<li>CppMath (tensor_math_cpp.h) 用Cpp实现了CppCPU的张量操作</li>
-<li>CudaMath (tensor_math_cuda.h) 用CUDA实现了CudaGPU的张量操作</li>
-<li>OpenclMath (tensor_math_opencl.h) 用OpenCL实现了OpenclGPU的张
量操作</li>
+<li><p>CppMath (tensor_math_cpp.h) 用Cpp实现了CppCPU的张
量操作</p></li>
+<li><p>CudaMath (tensor_math_cuda.h) 用CUDA实现了CudaGPU的张
量操作</p></li>
+<li><p>OpenclMath (tensor_math_opencl.h) 用OpenCL实现了OpenclGPU的张
量操作</p></li>
 </ul>
 <p>另外,不同类型的数据,比如float32和float16,可以通过加å…
¥ç›¸åº”的张量函数来支持。</p>
 <p>典型地,用户将创建一个Device实例并把它传
给多个Tensor实例。 
当用户调用Tensor函数时,这些函数会自动唤起对应的实现(CppMath/CudaMath/OpenclMath)。
 换句话说,Tensor操作的实现对用户是透明的。</p>
@@ -232,23 +232,23 @@
 <h2>模型<a class="headerlink" href="#id3" title="Permalink to this 
headline">¶</a></h2>
 
<p>在Tensor和Device的抽象化之上,SINGA提供了更高级的类用于机器学ä¹
 æ¨¡åž‹ã€‚</p>
 <ul class="simple">
-<li><a class="reference external" 
href="layer.html">Layer</a>和它的子类特别用于神经网络。 
每个层为向前传递特征和向后传递梯度提供函数支持。 
它们将复杂的操作封装
起来使用户可以很容易创建神经网络连接一系列层。</li>
-<li><a class="reference external" 
href="initializer.html">Initializer</a>和它的子类为初始化模型参数(存储在Tesnor实例中)提供了可变的方法,åŒ
…括Uniform,Gaussian等等。</li>
-<li><a class="reference external" 
href="loss.html">Loss</a>和它的子类定义了训练目æ 
‡æŸå¤±å‡½æ•°ã€‚与目æ 
‡æŸå¤±å¯¹åº”的计算损失值和计算梯度的函数都已被实现。 
常见的损失函数包括平方差和交叉熵。</li>
-<li><a class="reference external" 
href="metric.html">Metric</a>和它的子类提供了评估模型性能的函数,比如精确度。</li>
-<li><a class="reference external" 
href="optimizer.html">Optimizer</a>和它的子类实现了如何利用参数梯度更新模型参数的方法,åŒ
…括SGD, AdaGrad, RMSProp等等。</li>
+<li><p><a class="reference external" 
href="layer.html">Layer</a>和它的子类特别用于神经网络。 
每个层为向前传递特征和向后传递梯度提供函数支持。 
它们将复杂的操作封装
起来使用户可以很容易创建神经网络连接一系列层。</p></li>
+<li><p><a class="reference external" 
href="initializer.html">Initializer</a>和它的子类为初始化模型参数(存储在Tesnor实例中)提供了可变的方法,åŒ
…括Uniform,Gaussian等等。</p></li>
+<li><p><a class="reference external" 
href="loss.html">Loss</a>和它的子类定义了训练目æ 
‡æŸå¤±å‡½æ•°ã€‚与目æ 
‡æŸå¤±å¯¹åº”的计算损失值和计算梯度的函数都已被实现。 
常见的损失函数包括平方差和交叉熵。</p></li>
+<li><p><a class="reference external" 
href="metric.html">Metric</a>和它的子类提供了评估模型性能的函数,比如精确度。</p></li>
+<li><p><a class="reference external" 
href="optimizer.html">Optimizer</a>和它的子类实现了如何利用参数梯度更新模型参数的方法,åŒ
…括SGD, AdaGrad, RMSProp等等。</p></li>
 </ul>
 </div>
 <div class="section" id="id4">
 <h2>输入输出<a class="headerlink" href="#id4" title="Permalink to this 
headline">¶</a></h2>
 <p>输入输出包含数据加载,数据预处理和信息传递类。</p>
 <ul class="simple">
-<li>Reader和它的子类从磁盘文件加载字符串记录</li>
-<li>Writer和它的子类将字符串记录写到磁盘文件中</li>
-<li>Encoder和它的子类将Tensor实例编译成字符串记录</li>
-<li>Decoder和它的子类将字符串记录解码为Tensor实例</li>
-<li>Endpoint代表为消息传递提供函数的交互终端</li>
-<li>Message代表Endpoint实例间的交互消息。它会传递å…
ƒæ•°æ®å’Œè´Ÿè½½</li>
+<li><p>Reader和它的子类从磁盘文件加载字符串记录</p></li>
+<li><p>Writer和它的子类将字符串记录写到磁盘文件中</p></li>
+<li><p>Encoder和它的子类将Tensor实例编译成字符串记录</p></li>
+<li><p>Decoder和它的子类将字符串记录解码为Tensor实例</p></li>
+<li><p>Endpoint代表为消息传递提供函数的交互终端</p></li>
+<li><p>Message代表Endpoint实例间的交互消息。它会传递å…
ƒæ•°æ®å’Œè´Ÿè½½</p></li>
 </ul>
 </div>
 </div>
@@ -300,50 +300,46 @@
   
     
   
+
+<div class="rst-versions" data-toggle="rst-versions" role="note" 
aria-label="versions">
+  <span class="rst-current-version" data-toggle="rst-current-version">
+    <span class="fa fa-book"> incubator-singa </span>
+    v: latest
+    <span class="fa fa-caret-down"></span>
+  </span>
+  <div class="rst-other-versions">
+      <dl>
+          <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>
+          <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>
+
+  </div>
+  <a href="http://incubator.apache.org/";> <img src= "../_static/apache.png" 
style="background-color:white;"> </a>
+
+  <a href="https://github.com/apache/incubator-singa"; class="fa fa-github" 
style="padding: 10px; font-size: 20px; width: 30px; text-align: center; 
text-decoration: none; margin: 5px 2px;"></a>
+  <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/apache/singa/"; class="fab fa-docker" 
style="padding: 10px; font-size: 20px; width: 30px; text-align: center; 
text-decoration: none; margin: 5px 2px;"></a> 
+  <a href="https://www.linkedin.com/groups/13550034"; class="fa fa-linkedin" 
style="padding: 10px; font-size: 20px; width: 30px; text-align: center; 
text-decoration: none; margin: 5px 2px;"></a>
+  <a href="https://twitter.com/ApacheSinga"; class="fa fa-twitter" 
style="padding: 10px; font-size: 20px; width: 30px; text-align: center; 
text-decoration: none; margin: 5px 2px;"></a>
+  <a href="https://www.facebook.com/Apache-SINGA-347284219056544/"; class="fa 
fa-facebook" style="padding: 10px; font-size: 20px; width: 30px; text-align: 
center; text-decoration: none; margin: 5px 2px;"></a>
+  <a href="https://www.researchgate.net/project/Apache-SINGA"; class="fab 
fa-researchgate" style="padding: 10px; font-size: 20px; width: 30px; 
text-align: center; text-decoration: none; margin: 5px 2px;"></a>
+
+</div>
+
+ <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>
+
  
- <div class="rst-versions" data-toggle="rst-versions" role="note" 
aria-label="versions">
-   <span class="rst-current-version" data-toggle="rst-current-version">
-     <span class="fa fa-book"> incubator-singa </span>
-     v: latest
-     <span class="fa fa-caret-down"></span>
-   </span>
-   <div class="rst-other-versions">
-       <dl>
-           <dt>Languages</dt>
-           <dd><a href="../../index.html">English</a></dd>
-           <dd><a href=".././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>
- 
-   </div>
-   <a href="http://www.apache.org"; style="color:lightblue;padding: 5px; 
font-size: 10px; text-align: center; text-decoration: none; margin: 5px 
2px;">Foundation</a>
-   <a href="http://www.apache.org/events/current-event"; 
style="color:lightblue;padding: 5px; font-size: 10px; text-align: center; 
text-decoration: none; margin: 5px 2px;">Events</a>
-   <a href="http://www.apache.org/foundation/thanks.html"; 
style="color:lightblue;padding: 5px; font-size: 10px; text-align: center; 
text-decoration: none; margin: 5px 2px;">Thanks</a>
-   <a href="http://www.apache.org/foundation/sponsorship.html"; 
style="color:lightblue;padding: 5px; font-size: 10px;  text-align: center; 
text-decoration: none; margin: 5px 2px;">Sponsorship</a>
-   <a href="http://www.apache.org/licenses/"; style="color:lightblue;padding: 
5px; font-size: 10px;  text-align: center; text-decoration: none; margin: 5px 
2px;">License</a>
-   <br>
-   <a href="https://github.com/apache/incubator-singa"; class="fa fa-github" 
style="padding: 10px; font-size: 20px; width: 30px; text-align: center; 
text-decoration: none; margin: 5px 2px;"></a>
-   <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/apache/singa/"; class="fab fa-docker" 
style="padding: 10px; font-size: 20px; width: 30px; text-align: center; 
text-decoration: none; margin: 5px 2px;"></a> 
-   <a href="https://www.linkedin.com/groups/13550034"; class="fa fa-linkedin" 
style="padding: 10px; font-size: 20px; width: 30px; text-align: center; 
text-decoration: none; margin: 5px 2px;"></a>
-   <a href="https://twitter.com/ApacheSinga"; class="fa fa-twitter" 
style="padding: 10px; font-size: 20px; width: 30px; text-align: center; 
text-decoration: none; margin: 5px 2px;"></a>
-   <a href="https://www.facebook.com/Apache-SINGA-347284219056544/"; class="fa 
fa-facebook" style="padding: 10px; font-size: 20px; width: 30px; text-align: 
center; text-decoration: none; margin: 5px 2px;"></a>
-   <a href="https://www.researchgate.net/project/Apache-SINGA"; class="fab 
fa-researchgate" style="padding: 10px; font-size: 20px; width: 30px; 
text-align: center; text-decoration: none; margin: 5px 2px;"></a>
- 
- </div>
- 
-  <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/tensor.html
URL: 
http://svn.apache.org/viewvc/incubator/singa/site/trunk/zh/docs/tensor.html?rev=1858059&r1=1858058&r2=1858059&view=diff
==============================================================================
--- incubator/singa/site/trunk/zh/docs/tensor.html (original)
+++ incubator/singa/site/trunk/zh/docs/tensor.html Wed Apr 24 14:57:35 2019
@@ -1,5 +1,5 @@
 
- 
+
 
 <!DOCTYPE html>
 <!--[if IE 8]><html class="no-js lt-ie9" lang="en" > <![endif]-->
@@ -9,7 +9,7 @@
   
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>张量(Tensor) &mdash; incubator-singa 2.0.0 documentation</title>
+  <title>张量(Tensor) &mdash; incubator-singa 1.1.0 documentation</title>
   
 
   
@@ -38,18 +38,18 @@
     <link rel="search" title="Search" href="../search.html" />
     <link rel="next" title="层(Layer)" href="layer.html" />
     <link rel="prev" title="设备(Device)" href="device.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 {
-       opacity: 0.7;
-   }
-     </style>
- 
+    <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 {
+           opacity: 0.7;
+       }
+    </style>
+
 </head>
 
 <body class="wy-body-for-nav">
@@ -209,9 +209,9 @@
 <p>Tensor的实现</p>
 <p>SINGA有三种Tensor函数的实现,分别在不同设备上。</p>
 <ul class="simple">
-<li><code class="docutils literal notranslate"><span 
class="pre">tensor_math_cpp.h</span></code> 
用Cpp实现了CppCPU上的各种操作</li>
-<li><code class="docutils literal notranslate"><span 
class="pre">tensor_math_cuda.h</span></code> 用Cuda 
(和cuBLAS)实现了CudaGPU上的各种操作</li>
-<li><code class="docutils literal notranslate"><span 
class="pre">tensor_math_opencl.h</span></code> 
用OpenCL实现了OpenclGPU上的各种操作</li>
+<li><p><code class="docutils literal notranslate"><span 
class="pre">tensor_math_cpp.h</span></code> 
用Cpp实现了CppCPU上的各种操作</p></li>
+<li><p><code class="docutils literal notranslate"><span 
class="pre">tensor_math_cuda.h</span></code> 用Cuda 
(和cuBLAS)实现了CudaGPU上的各种操作</p></li>
+<li><p><code class="docutils literal notranslate"><span 
class="pre">tensor_math_opencl.h</span></code> 
用OpenCL实现了OpenclGPU上的各种操作</p></li>
 </ul>
 <div class="section" id="python-api">
 <h2>PYTHON API<a class="headerlink" href="#python-api" title="Permalink to 
this headline">¶</a></h2>
@@ -255,9 +255,9 @@
 三个参数分别是Tensor的三个属性。</p>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>shape (list<int>)</strong> – 
一个列表的整形数据作为Tensor的形状。如果shape没有指定,将会创建一个伪Tensor。</li>
-<li><strong>device</strong> – 
swig转化的使用设备模块化的Device实例。 
如果为None,默认的CPU设备将会被使用。</li>
-<li><strong>dtype</strong> – 数据类型。 目前,大多数操作仅
支持kFloat32。</li>
+<li><p><strong>shape (list<int>)</strong> – 
一个列表的整形数据作为Tensor的形状。如果shape没有指定,将会创建一个伪Tensor。</p></li>
+<li><p><strong>device</strong> – 
swig转化的使用设备模块化的Device实例。 
如果为None,默认的CPU设备将会被使用。</p></li>
+<li><p><strong>dtype</strong> – 数据类型。 目前,大多数操作仅
支持kFloat32。</p></li>
 </ul>
 <hr class="docutils" />
 <div class="section" id="t">
@@ -271,7 +271,7 @@
 <p>对该Tensor每列加上一个tensor。</p>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>v (Tensor)</strong> – 被作为一列加
到原tensor的Tensor</li>
+<li><p><strong>v (Tensor)</strong> – 被作为一列加
到原tensor的Tensor</p></li>
 </ul>
 </div>
 <hr class="docutils" />
@@ -280,7 +280,7 @@
 <p>对该tensor每行加一个tensor。</p>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>v (Tensor)</strong> – 被作为行加到原tensor的Tensor</li>
+<li><p><strong>v (Tensor)</strong> – 被作为行加
到原tensor的Tensor</p></li>
 </ul>
 </div>
 <hr class="docutils" />
@@ -289,7 +289,7 @@
 <p>对每个元素,按照给定概率从0/1中取样。</p>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>p (float)</strong> – 以概率p取样一个元素为1</li>
+<li><p><strong>p (float)</strong> – 以概率p取样一个元素为1</p></li>
 </ul>
 </div>
 <hr class="docutils" />
@@ -308,7 +308,7 @@
 <p>从另一个Tensor实例拷贝数据。</p>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>t (Tensor)</strong> – 源Tensor</li>
+<li><p><strong>t (Tensor)</strong> – 源Tensor</p></li>
 </ul>
 </div>
 <hr class="docutils" />
@@ -317,8 +317,8 @@
 <p>从numpy数组中拷贝数据。</p>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>np_array</strong> – 源numpy数组</li>
-<li><strong>offset (int)</strong> – 目标偏移</li>
+<li><p><strong>np_array</strong> – 源numpy数组</p></li>
+<li><p><strong>offset (int)</strong> – 目标偏移</p></li>
 </ul>
 </div>
 <hr class="docutils" />
@@ -333,7 +333,7 @@
 <p>将Tensor每列除以v。</p>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>v (Tensor)</strong> – 
1维tensor,和源tensor的列长相同</li>
+<li><p><strong>v (Tensor)</strong> – 
1维tensor,和源tensor的列长相同</p></li>
 </ul>
 </div>
 <hr class="docutils" />
@@ -342,7 +342,7 @@
 <p>将Tensor每行除以v。</p>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>v (Tensor)</strong> – 
1维tensor,和源tensor的行长相同</li>
+<li><p><strong>v (Tensor)</strong> – 
1维tensor,和源tensor的行长相同</p></li>
 </ul>
 </div>
 <hr class="docutils" />
@@ -351,8 +351,8 @@
 <p>按照高斯分布对每个元素采样。</p>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>mean (float)</strong> – 分布的均值</li>
-<li><strong>std (float)</strong> – 分布的标准差</li>
+<li><p><strong>mean (float)</strong> – 分布的均值</p></li>
+<li><p><strong>std (float)</strong> – 分布的标准差</p></li>
 </ul>
 </div>
 <hr class="docutils" />
@@ -379,7 +379,7 @@
 <div class="section" id="memsize">
 <h4>memsize()<a class="headerlink" href="#memsize" title="Permalink to this 
headline">¶</a></h4>
 <ul class="simple">
-<li><strong>返回值:</strong> 被分配给该tensor的Bytes数</li>
+<li><p><strong>返回值:</strong> 被分配给该tensor的Bytes数</p></li>
 </ul>
 </div>
 <hr class="docutils" />
@@ -388,7 +388,7 @@
 <p>将tensor每列和v做元素级别乘法。</p>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>v (Tensor)</strong> – 1维tensor,同源tensor列长等长</li>
+<li><p><strong>v (Tensor)</strong> – 
1维tensor,同源tensor列长等长</p></li>
 </ul>
 </div>
 <hr class="docutils" />
@@ -397,7 +397,7 @@
 <p>将tensor每行和v做元素级别乘法。</p>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>v (Tensor)</strong> – 1维tensor,同源tensor行长等长</li>
+<li><p><strong>v (Tensor)</strong> – 
1维tensor,同源tensor行长等长</p></li>
 </ul>
 </div>
 <hr class="docutils" />
@@ -411,7 +411,7 @@
 <p>根据给定tensor重置源tensor形状,数据类型和设备。</p>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>t (Tensor)</strong> – 需要重置的tensor</li>
+<li><p><strong>t (Tensor)</strong> – 需要重置的tensor</p></li>
 </ul>
 </div>
 <hr class="docutils" />
@@ -420,7 +420,7 @@
 <p>设置所有元素值为给定值。</p>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>x(float)</strong> - 待设定的值</li>
+<li><p><strong>x(float)</strong> - 待设定的值</p></li>
 </ul>
 </div>
 <hr class="docutils" />
@@ -434,7 +434,7 @@
 <p>将tensor中数据传到指定设备上。</p>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>device</strong> - 
从CudaGPU/CppCPU/OpenclGPU转换的swig设备</li>
+<li><p><strong>device</strong> - 
从CudaGPU/CppCPU/OpenclGPU转换的swig设备</p></li>
 </ul>
 </div>
 <hr class="docutils" />
@@ -448,8 +448,8 @@
 <p>从均匀分布中进行采样。</p>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>low (float)</strong> – 下界</li>
-<li><strong>high (float)</strong> – 上界</li>
+<li><p><strong>low (float)</strong> – 下界</p></li>
+<li><p><strong>high (float)</strong> – 上界</p></li>
 </ul>
 </div>
 <hr class="docutils" />
@@ -457,7 +457,7 @@
 <h4>singa.tensor.abs(t)<a class="headerlink" href="#singa-tensor-abs-t" 
title="Permalink to this headline">¶</a></h4>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>t(Tensor)</strong> - 输入tensor</li>
+<li><p><strong>t(Tensor)</strong> - 输入tensor</p></li>
 </ul>
 <p><strong>返回值:</strong> 一个新tensor,其元素
值为y=abs(x),x是t中的元素</p>
 </div>
@@ -467,9 +467,9 @@
 <p>元素级别加法。</p>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>lhs (Tensor)</strong> – 左操作tensor</li>
-<li><strong>rhs (Tensor)</strong> – 右操作tensor</li>
-<li><strong>ret (Tensor, optional)</strong> – 如果不是空, 
结果将被保存在å…
¶ä¸­ï¼›å¦åˆ™ï¼Œä¸€ä¸ªæ–°tensor会被创建以保存结果。</li>
+<li><p><strong>lhs (Tensor)</strong> – 左操作tensor</p></li>
+<li><p><strong>rhs (Tensor)</strong> – 右操作tensor</p></li>
+<li><p><strong>ret (Tensor, optional)</strong> – 如果不是空, 
结果将被保存在å…
¶ä¸­ï¼›å¦åˆ™ï¼Œä¸€ä¸ªæ–°tensor会被创建以保存结果。</p></li>
 </ul>
 <p><strong>返回值:</strong> 新tensor</p>
 </div>
@@ -479,10 +479,10 @@
 <p>将v加到M的每个列向量, 定义M一列为m,m=alpha * v + beta * 
m</p>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>alpha (float)</strong> – v的系数</li>
-<li><strong>v (Tensor)</strong> – 1维tensor</li>
-<li><strong>beta (float)</strong> – M的系数</li>
-<li><strong>M (Tensor)</strong> – 2维tensor</li>
+<li><p><strong>alpha (float)</strong> – v的系数</p></li>
+<li><p><strong>v (Tensor)</strong> – 1维tensor</p></li>
+<li><p><strong>beta (float)</strong> – M的系数</p></li>
+<li><p><strong>M (Tensor)</strong> – 2维tensor</p></li>
 </ul>
 <p><strong>返回值:</strong> M</p>
 </div>
@@ -492,10 +492,10 @@
 <p>将v加到M的每个行向量, 定义M一行为m,m=alpha * v + beta * 
m。</p>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>alpha (float)</strong> – v的系数</li>
-<li><strong>v (Tensor)</strong> – 1维tensor</li>
-<li><strong>beta (float)</strong> – M的系数</li>
-<li><strong>M (Tensor)</strong> – 2维tensor</li>
+<li><p><strong>alpha (float)</strong> – v的系数</p></li>
+<li><p><strong>v (Tensor)</strong> – 1维tensor</p></li>
+<li><p><strong>beta (float)</strong> – M的系数</p></li>
+<li><p><strong>M (Tensor)</strong> – 2维tensor</p></li>
 </ul>
 <p><strong>返回值:</strong> M</p>
 </div>
@@ -504,8 +504,8 @@
 <h4>singa.tensor.average(t, axis=None)<a class="headerlink" 
href="#singa-tensor-average-t-axis-none" title="Permalink to this 
headline">¶</a></h4>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>t (Tensor)</strong> – 输入Tensor</li>
-<li><strong>axis (int, optional)</strong> – 如果为空,取所有元素
的平均值;否则,取给定维度的元素
平均值。0表示列均值,1表示行均值。</li>
+<li><p><strong>t (Tensor)</strong> – 输入Tensor</p></li>
+<li><p><strong>axis (int, optional)</strong> – 如果为空,取所有元素
的平均值;否则,取给定维度的元素
平均值。0表示列均值,1表示行均值。</p></li>
 </ul>
 <p><strong>返回值:</strong> 
如果axis是空,返回一个float值;否则,返回一个新tensor</p>
 </div>
@@ -515,9 +515,9 @@
 <p>元素级别操作 y += alpha * x。</p>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>alpha (float)</strong> – x的系数</li>
-<li><strong>x (Tensor)</strong> – 被加的tensor</li>
-<li><strong>y (Tensor)</strong> – 原tensor</li>
+<li><p><strong>alpha (float)</strong> – x的系数</p></li>
+<li><p><strong>x (Tensor)</strong> – 被加的tensor</p></li>
+<li><p><strong>y (Tensor)</strong> – 原tensor</p></li>
 </ul>
 <p><strong>返回值:</strong> y</p>
 </div>
@@ -527,8 +527,8 @@
 <p>对每个元素生成一个二进制位。</p>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>p (float)</strong> – each element is 1 with probability p; and 0 
with 1 - p</li>
-<li><strong>t (Tensor)</strong> – the results are put into t</li>
+<li><p><strong>p (float)</strong> – each element is 1 with probability p; 
and 0 with 1 - p</p></li>
+<li><p><strong>t (Tensor)</strong> – the results are put into t</p></li>
 </ul>
 <p><strong>返回值:</strong> t</p>
 </div>
@@ -538,11 +538,11 @@
 <p>将数据从一个tensor实例拷贝到另一个tensor实例。</p>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>dst (Tensor)</strong> – 目标Tensor</li>
-<li><strong>src (Tensor)</strong> – 源Tensor</li>
-<li><strong>size (int)</strong> – 拷贝元素数目</li>
-<li><strong>dst_offset (int)</strong> – 拷贝到dst元素
在dst的起始偏移</li>
-<li><strong>src_offset (int)</strong> – 待拷贝的元素
在src中的起始偏移</li>
+<li><p><strong>dst (Tensor)</strong> – 目标Tensor</p></li>
+<li><p><strong>src (Tensor)</strong> – 源Tensor</p></li>
+<li><p><strong>size (int)</strong> – 拷贝元素数目</p></li>
+<li><p><strong>dst_offset (int)</strong> – 拷贝到dst元素
在dst的起始偏移</p></li>
+<li><p><strong>src_offset (int)</strong> – 待拷贝的元素
在src中的起始偏移</p></li>
 </ul>
 </div>
 <hr class="docutils" />
@@ -551,9 +551,9 @@
 <p>元素级别的除法。</p>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>lhs (Tensor)</strong> – 左操作tensor</li>
-<li><strong>rhs (Tensor)</strong> – 右操作tensor</li>
-<li><strong>ret (Tensor, optional)</strong> – 
如果非空,将把结果写å…
¥ï¼›å¦åˆ™ï¼Œåˆ›å»ºä¸€ä¸ªæ–°tensor并将结果写入</li>
+<li><p><strong>lhs (Tensor)</strong> – 左操作tensor</p></li>
+<li><p><strong>rhs (Tensor)</strong> – 右操作tensor</p></li>
+<li><p><strong>ret (Tensor, optional)</strong> – 
如果非空,将把结果写å…
¥ï¼›å¦åˆ™ï¼Œåˆ›å»ºä¸€ä¸ªæ–°tensor并将结果写入</p></li>
 </ul>
 <p><strong>返回值:</strong> 存有运算结果的tensor</p>
 </div>
@@ -563,9 +563,9 @@
 <p>元素级别的乘法。</p>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>lhs (Tensor)</strong> – 左操作tensor</li>
-<li><strong>rhs (Tensor)</strong> – 右操作tensor</li>
-<li><strong>ret (Tensor, optional)</strong> – 
如果非空,将把结果写å…
¥ï¼›å¦åˆ™ï¼Œåˆ›å»ºä¸€ä¸ªæ–°tensor并将结果写入</li>
+<li><p><strong>lhs (Tensor)</strong> – 左操作tensor</p></li>
+<li><p><strong>rhs (Tensor)</strong> – 右操作tensor</p></li>
+<li><p><strong>ret (Tensor, optional)</strong> – 
如果非空,将把结果写å…
¥ï¼›å¦åˆ™ï¼Œåˆ›å»ºä¸€ä¸ªæ–°tensor并将结果写入</p></li>
 </ul>
 <p><strong>返回值:</strong> 保存运算结果的tensor</p>
 </div>
@@ -574,7 +574,7 @@
 <h4>singa.tensor.exp(t)<a class="headerlink" href="#singa-tensor-exp-t" 
title="Permalink to this headline">¶</a></h4>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>t (Tensor)</strong> – 输入tensor</li>
+<li><p><strong>t (Tensor)</strong> – 输入tensor</p></li>
 </ul>
 <p><strong>返回值:</strong> 新tensor,其中元素为 y = 
exp(x),x为t中元素</p>
 </div>
@@ -584,7 +584,7 @@
 <p>根据numpy数组的形状、数据类型和数值创建一个tensor。</p>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>np_array</strong> – numpy数组</li>
+<li><p><strong>np_array</strong> – numpy数组</p></li>
 </ul>
 <p><strong>返回值:</strong> 分é…
åœ¨é»˜è®¤CppCPU设备上的tensor实例</p>
 </div>
@@ -594,9 +594,9 @@
 <p>按照给定高斯分布生成数值。</p>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>mean (float)</strong> – 高斯分布的均值</li>
-<li><strong>std (float)</strong> – 高斯分布的标准差</li>
-<li><strong>t (Tensor)</strong> – 结果被存入t</li>
+<li><p><strong>mean (float)</strong> – 高斯分布的均值</p></li>
+<li><p><strong>std (float)</strong> – 高斯分布的标准差</p></li>
+<li><p><strong>t (Tensor)</strong> – 结果被存入t</p></li>
 </ul>
 <p><strong>返回值:</strong> t</p>
 </div>
@@ -606,8 +606,8 @@
 <p>元素级别的比较,t &gt;= x。</p>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>t (Tensor)</strong> – 左操作数</li>
-<li><strong>x (Tensor or float)</strong> – 右操作数</li>
+<li><p><strong>t (Tensor)</strong> – 左操作数</p></li>
+<li><p><strong>x (Tensor or float)</strong> – 右操作数</p></li>
 </ul>
 <p><strong>返回值:</strong> 0.0f 或 t[i] &gt;= x[i] ? 1.0f:0.0f</p>
 <p><strong>返回值类型:</strong> tensor,每个元素为 t[i] &gt;= x ? 
1.0f</p>
@@ -618,8 +618,8 @@
 <p>元素级别的比较,t &gt; x。</p>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>t (Tensor)</strong> – 左操作tensor</li>
-<li><strong>x (Tensor or float)</strong> – 右操作tensor或数</li>
+<li><p><strong>t (Tensor)</strong> – 左操作tensor</p></li>
+<li><p><strong>x (Tensor or float)</strong> – 右操作tensor或数</p></li>
 </ul>
 <p><strong>返回值:</strong> 0.0f 或 t[i] &gt; x[i] ? 1.0f:0.0f</p>
 <p><strong>返回值类型:</strong> tensor,每个元素为 t[i] &gt; x ? 
1.0f</p>
@@ -630,8 +630,8 @@
 <p>元素级别的比较,t &lt;= x。</p>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>t (Tensor)</strong> – 左操作tensor</li>
-<li><strong>x (Tensor or float)</strong> – 右操作tensor或数</li>
+<li><p><strong>t (Tensor)</strong> – 左操作tensor</p></li>
+<li><p><strong>x (Tensor or float)</strong> – 右操作tensor或数</p></li>
 </ul>
 <p><strong>返回值:</strong> 0.0f 或 t[i] &lt;= x[i] ? 1.0f:0.0f</p>
 <p><strong>返回值类型:</strong> tensor,每个元素为 t[i] &lt;= x ? 
1.0f</p>
@@ -642,8 +642,8 @@
 <p>元素级别的比较,t &lt; x。</p>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>t (Tensor)</strong> – 左操作tensor</li>
-<li><strong>x (Tensor or float)</strong> – 右操作tensor或数</li>
+<li><p><strong>t (Tensor)</strong> – 左操作tensor</p></li>
+<li><p><strong>x (Tensor or float)</strong> – 右操作tensor或数</p></li>
 </ul>
 <p><strong>返回值:</strong> 0.0f 或 t[i] &lt; x[i] ? 1.0f:0.0f</p>
 <p><strong>返回值类型:</strong> tensor,每个元素为 t[i] &lt; x ? 
1.0f</p>
@@ -653,7 +653,7 @@
 <h4>singa.tensor.log(t)<a class="headerlink" href="#singa-tensor-log-t" 
title="Permalink to this headline">¶</a></h4>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>t (Tensor)</strong> – 输入tensor</li>
+<li><p><strong>t (Tensor)</strong> – 输入tensor</p></li>
 </ul>
 <p><strong>返回值:</strong> 一个新tensor,其元素值为y = 
log(x),x是t中的元素</p>
 </div>
@@ -663,11 +663,11 @@
 <p>矩阵-矩阵或矩阵-向量乘法, 函数返回 C = alpha * A * B + beta 
* C。</p>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>A (Tensor)</strong> – 2维Tensor</li>
-<li><strong>B (Tensor)</strong> – 如果B是1维Tensor, 
将调用GEMV做矩阵-向量乘法;否则将调用GEMM。</li>
-<li><strong>C (Tensor, optional)</strong> – 
存储结果;如果为空,将创建新tensor存储结果。</li>
-<li><strong>alpha (float)</strong> – A * B 的系数</li>
-<li><strong>beta (float)</strong> – C 的系数</li>
+<li><p><strong>A (Tensor)</strong> – 2维Tensor</p></li>
+<li><p><strong>B (Tensor)</strong> – 如果B是1维Tensor, 
将调用GEMV做矩阵-向量乘法;否则将调用GEMM。</p></li>
+<li><p><strong>C (Tensor, optional)</strong> – 
存储结果;如果为空,将创建新tensor存储结果。</p></li>
+<li><p><strong>alpha (float)</strong> – A * B 的系数</p></li>
+<li><p><strong>beta (float)</strong> – C 的系数</p></li>
 </ul>
 <p><strong>返回值:</strong> 保存运算结果的tensor</p>
 </div>
@@ -676,9 +676,9 @@
 <h4>singa.tensor.pow(t, x, out=None)<a class="headerlink" 
href="#singa-tensor-pow-t-x-out-none" title="Permalink to this 
headline">¶</a></h4>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>t (Tensor)</strong> – 输入tensor</li>
-<li><strong>x (float or Tensor)</strong> – 如果x是浮点数 y[i] = 
t[i]^x; 否则 y[i]= t[i]^x[i]</li>
-<li><strong>out (None or Tensor)</strong> – 如果非空,将存å…
¥ç»“果;否则,将创建一个新tensor保存结果。</li>
+<li><p><strong>t (Tensor)</strong> – 输入tensor</p></li>
+<li><p><strong>x (float or Tensor)</strong> – 如果x是浮点数 y[i] = 
t[i]^x; 否则 y[i]= t[i]^x[i]</p></li>
+<li><p><strong>out (None or Tensor)</strong> – 如果非空,将存å…
¥ç»“果;否则,将创建一个新tensor保存结果。</p></li>
 </ul>
 <p><strong>返回值:</strong> 保存运算结果的tensor</p>
 </div>
@@ -687,7 +687,7 @@
 <h4>singa.tensor.relu(t)<a class="headerlink" href="#singa-tensor-relu-t" 
title="Permalink to this headline">¶</a></h4>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>t (Tensor)</strong> – 输入tensor</li>
+<li><p><strong>t (Tensor)</strong> – 输入tensor</p></li>
 </ul>
 <p><strong>返回值:</strong> tensor,其中元素为 y = x 若x 
&gt;0;否则y = 0,x为t中元素</p>
 </div>
@@ -697,8 +697,8 @@
 <p>改变tensor的形状。</p>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>t (Tensor)</strong> – 待改变形状的tensor</li>
-<li><strong>s (list<int>)</strong> – 
新形状,体积和原tensor体积相同</li>
+<li><p><strong>t (Tensor)</strong> – 待改变形状的tensor</p></li>
+<li><p><strong>s (list<int>)</strong> – 
新形状,体积和原tensor体积相同</p></li>
 </ul>
 <p><strong>返回值:</strong> 新tensor</p>
 </div>
@@ -707,7 +707,7 @@
 <h4>singa.tensor.sigmoid(t)<a class="headerlink" 
href="#singa-tensor-sigmoid-t" title="Permalink to this headline">¶</a></h4>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>t (Tensor)</strong> – 输入tensor</li>
+<li><p><strong>t (Tensor)</strong> – 输入tensor</p></li>
 </ul>
 <p><strong>返回值:</strong> tensor,其中元素为 y = 
sigmoid(x),x为t中元素</p>
 </div>
@@ -716,7 +716,7 @@
 <h4>singa.tensor.sign(t)<a class="headerlink" href="#singa-tensor-sign-t" 
title="Permalink to this headline">¶</a></h4>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>t (Tensor)</strong> – 输入tensor</li>
+<li><p><strong>t (Tensor)</strong> – 输入tensor</p></li>
 </ul>
 <p><strong>返回值:</strong> tensor,其中元素为 y = 
sign(x),x为t中元素</p>
 </div>
@@ -731,8 +731,8 @@
 <p>对tensor每行做SoftMax。</p>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>t (Tensor)</strong> – 输入1维或2维tensor</li>
-<li><strong>out (Tensor, 可选)</strong> – 如果非空,将存å…
¥ç»“æžœ</li>
+<li><p><strong>t (Tensor)</strong> – 输入1维或2维tensor</p></li>
+<li><p><strong>out (Tensor, 可选)</strong> – 如果非空,将存å…
¥ç»“æžœ</p></li>
 </ul>
 <p><strong>返回值:</strong> 保存操作结果的tensor</p>
 </div>
@@ -741,7 +741,7 @@
 <h4>singa.tensor.sqrt(t)<a class="headerlink" href="#singa-tensor-sqrt-t" 
title="Permalink to this headline">¶</a></h4>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>t (Tensor)</strong> – 输入tensor</li>
+<li><p><strong>t (Tensor)</strong> – 输入tensor</p></li>
 </ul>
 <p><strong>返回值:</strong> tensor,其中元素为 y = 
sqrt(x),x为t中元素</p>
 </div>
@@ -750,7 +750,7 @@
 <h4>singa.tensor.square(t)<a class="headerlink" href="#singa-tensor-square-t" 
title="Permalink to this headline">¶</a></h4>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>t (Tensor)</strong> – 输入tensor</li>
+<li><p><strong>t (Tensor)</strong> – 输入tensor</p></li>
 </ul>
 <p><strong>返回值:</strong> tensor,其中元素为 y = x * 
x,x为t中元素</p>
 </div>
@@ -760,9 +760,9 @@
 <p>元素级别的减法。</p>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>lhs (Tensor)</strong> – 左操作tensor</li>
-<li><strong>rhs (Tensor)</strong> – 右操作tensor</li>
-<li><strong>ret (Tensor, 可选)</strong> – 如果非空,将存å…
¥ç»“果;否则,将创建一个新tensor保存</li>
+<li><p><strong>lhs (Tensor)</strong> – 左操作tensor</p></li>
+<li><p><strong>rhs (Tensor)</strong> – 右操作tensor</p></li>
+<li><p><strong>ret (Tensor, 可选)</strong> – 如果非空,将存å…
¥ç»“果;否则,将创建一个新tensor保存</p></li>
 </ul>
 <p><strong>返回值:</strong> 存放结果的tensor</p>
 </div>
@@ -772,8 +772,8 @@
 <p>在给定的维度上求和。</p>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>t (Tensor)</strong> – 输入Tensor</li>
-<li><strong>axis (int, 可选)</strong> – 如果为空,将对所有元素
求和;如果给定数值,将沿给定维度求和,比如:0 - 
按列求和;1 - 按行求和。</li>
+<li><p><strong>t (Tensor)</strong> – 输入Tensor</p></li>
+<li><p><strong>axis (int, 可选)</strong> – 如果为空,将对所有å…
ƒç´ æ±‚和;如果给定数值,将沿给定维度求和,比如:0 - 
按列求和;1 - 按行求和。</p></li>
 </ul>
 <p><strong>返回值:</strong> 
如果是对整体求和,返回一个浮点数;否则返回tensor</p>
 </div>
@@ -783,7 +783,7 @@
 <p>按列求和。</p>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>M (Tensor)</strong> – 输入的2维tensor</li>
+<li><p><strong>M (Tensor)</strong> – 输入的2维tensor</p></li>
 </ul>
 <p><strong>返回值:</strong> 产生求和结果的tensor</p>
 </div>
@@ -793,7 +793,7 @@
 <p>按行求和。</p>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>M (Tensor)</strong> – 输入的2维tensor</li>
+<li><p><strong>M (Tensor)</strong> – 输入的2维tensor</p></li>
 </ul>
 <p><strong>返回值:</strong> 产生求和结果的tensor</p>
 </div>
@@ -802,7 +802,7 @@
 <h4>singa.tensor.tanh(t)<a class="headerlink" href="#singa-tensor-tanh-t" 
title="Permalink to this headline">¶</a></h4>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>t (Tensor)</strong> – 输入tensor</li>
+<li><p><strong>t (Tensor)</strong> – 输入tensor</p></li>
 </ul>
 <p>**返回值:**tensor,其中元素为 y = tanh(x),x为t中元素</p>
 </div>
@@ -817,7 +817,7 @@
 <p>拷贝tensor数据到numpy数组。</p>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>t (Tensor)</strong> – 输入tensor</li>
+<li><p><strong>t (Tensor)</strong> – 输入tensor</p></li>
 </ul>
 <p><strong>返回值:</strong> numpy数组</p>
 </div>
@@ -827,9 +827,9 @@
 <p>按照均匀分布生成数值。</p>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>low (float)</strong> – 下界</li>
-<li><strong>hight (float)</strong> – 上届</li>
-<li><strong>t (Tensor)</strong> – 结果存入t</li>
+<li><p><strong>low (float)</strong> – 下界</p></li>
+<li><p><strong>hight (float)</strong> – 上届</p></li>
+<li><p><strong>t (Tensor)</strong> – 结果存入t</p></li>
 </ul>
 <p><strong>返回值:</strong> t</p>
 <hr class="docutils" />
@@ -885,50 +885,46 @@
   
     
   
+
+<div class="rst-versions" data-toggle="rst-versions" role="note" 
aria-label="versions">
+  <span class="rst-current-version" data-toggle="rst-current-version">
+    <span class="fa fa-book"> incubator-singa </span>
+    v: latest
+    <span class="fa fa-caret-down"></span>
+  </span>
+  <div class="rst-other-versions">
+      <dl>
+          <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>
+          <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>
+
+  </div>
+  <a href="http://incubator.apache.org/";> <img src= "../_static/apache.png" 
style="background-color:white;"> </a>
+
+  <a href="https://github.com/apache/incubator-singa"; class="fa fa-github" 
style="padding: 10px; font-size: 20px; width: 30px; text-align: center; 
text-decoration: none; margin: 5px 2px;"></a>
+  <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/apache/singa/"; class="fab fa-docker" 
style="padding: 10px; font-size: 20px; width: 30px; text-align: center; 
text-decoration: none; margin: 5px 2px;"></a> 
+  <a href="https://www.linkedin.com/groups/13550034"; class="fa fa-linkedin" 
style="padding: 10px; font-size: 20px; width: 30px; text-align: center; 
text-decoration: none; margin: 5px 2px;"></a>
+  <a href="https://twitter.com/ApacheSinga"; class="fa fa-twitter" 
style="padding: 10px; font-size: 20px; width: 30px; text-align: center; 
text-decoration: none; margin: 5px 2px;"></a>
+  <a href="https://www.facebook.com/Apache-SINGA-347284219056544/"; class="fa 
fa-facebook" style="padding: 10px; font-size: 20px; width: 30px; text-align: 
center; text-decoration: none; margin: 5px 2px;"></a>
+  <a href="https://www.researchgate.net/project/Apache-SINGA"; class="fab 
fa-researchgate" style="padding: 10px; font-size: 20px; width: 30px; 
text-align: center; text-decoration: none; margin: 5px 2px;"></a>
+
+</div>
+
+ <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>
+
  
- <div class="rst-versions" data-toggle="rst-versions" role="note" 
aria-label="versions">
-   <span class="rst-current-version" data-toggle="rst-current-version">
-     <span class="fa fa-book"> incubator-singa </span>
-     v: latest
-     <span class="fa fa-caret-down"></span>
-   </span>
-   <div class="rst-other-versions">
-       <dl>
-           <dt>Languages</dt>
-           <dd><a href="../../index.html">English</a></dd>
-           <dd><a href=".././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>
- 
-   </div>
-   <a href="http://www.apache.org"; style="color:lightblue;padding: 5px; 
font-size: 10px; text-align: center; text-decoration: none; margin: 5px 
2px;">Foundation</a>
-   <a href="http://www.apache.org/events/current-event"; 
style="color:lightblue;padding: 5px; font-size: 10px; text-align: center; 
text-decoration: none; margin: 5px 2px;">Events</a>
-   <a href="http://www.apache.org/foundation/thanks.html"; 
style="color:lightblue;padding: 5px; font-size: 10px; text-align: center; 
text-decoration: none; margin: 5px 2px;">Thanks</a>
-   <a href="http://www.apache.org/foundation/sponsorship.html"; 
style="color:lightblue;padding: 5px; font-size: 10px;  text-align: center; 
text-decoration: none; margin: 5px 2px;">Sponsorship</a>
-   <a href="http://www.apache.org/licenses/"; style="color:lightblue;padding: 
5px; font-size: 10px;  text-align: center; text-decoration: none; margin: 5px 
2px;">License</a>
-   <br>
-   <a href="https://github.com/apache/incubator-singa"; class="fa fa-github" 
style="padding: 10px; font-size: 20px; width: 30px; text-align: center; 
text-decoration: none; margin: 5px 2px;"></a>
-   <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/apache/singa/"; class="fab fa-docker" 
style="padding: 10px; font-size: 20px; width: 30px; text-align: center; 
text-decoration: none; margin: 5px 2px;"></a> 
-   <a href="https://www.linkedin.com/groups/13550034"; class="fa fa-linkedin" 
style="padding: 10px; font-size: 20px; width: 30px; text-align: center; 
text-decoration: none; margin: 5px 2px;"></a>
-   <a href="https://twitter.com/ApacheSinga"; class="fa fa-twitter" 
style="padding: 10px; font-size: 20px; width: 30px; text-align: center; 
text-decoration: none; margin: 5px 2px;"></a>
-   <a href="https://www.facebook.com/Apache-SINGA-347284219056544/"; class="fa 
fa-facebook" style="padding: 10px; font-size: 20px; width: 30px; text-align: 
center; text-decoration: none; margin: 5px 2px;"></a>
-   <a href="https://www.researchgate.net/project/Apache-SINGA"; class="fab 
fa-researchgate" style="padding: 10px; font-size: 20px; width: 30px; 
text-align: center; text-decoration: none; margin: 5px 2px;"></a>
- 
- </div>
- 
-  <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/utils.html
URL: 
http://svn.apache.org/viewvc/incubator/singa/site/trunk/zh/docs/utils.html?rev=1858059&r1=1858058&r2=1858059&view=diff
==============================================================================
--- incubator/singa/site/trunk/zh/docs/utils.html (original)
+++ incubator/singa/site/trunk/zh/docs/utils.html Wed Apr 24 14:57:35 2019
@@ -1,5 +1,5 @@
 
- 
+
 
 <!DOCTYPE html>
 <!--[if IE 8]><html class="no-js lt-ie9" lang="en" > <![endif]-->
@@ -9,7 +9,7 @@
   
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Utils &mdash; incubator-singa 2.0.0 documentation</title>
+  <title>Utils &mdash; incubator-singa 1.1.0 documentation</title>
   
 
   
@@ -38,18 +38,18 @@
     <link rel="search" title="Search" href="../search.html" />
     <link rel="next" title="模型库" href="model_zoo/index.html" />
     <link rel="prev" title="Snapshot" href="snapshot.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 {
-       opacity: 0.7;
-   }
-     </style>
- 
+    <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 {
+           opacity: 0.7;
+       }
+    </style>
+
 </head>
 
 <body class="wy-body-for-nav">
@@ -225,8 +225,8 @@
 <p>显示完成进程条和用户信息。</p>
 <p><strong>参数:</strong></p>
 <ul class="simple">
-<li><strong>progress (float)</strong> – 完成度[0, 
1],负数表示被中断,&gt;=1表示以完成</li>
-<li><strong>info (str)</strong> – 待展示信息的字符串</li>
+<li><p><strong>progress (float)</strong> – 完成度[0, 
1],负数表示被中断,&gt;=1表示以完成</p></li>
+<li><p><strong>info (str)</strong> – 待展示信息的字符串</p></li>
 </ul>
 <hr class="docutils" />
 </div>
@@ -279,50 +279,46 @@
   
     
   
+
+<div class="rst-versions" data-toggle="rst-versions" role="note" 
aria-label="versions">
+  <span class="rst-current-version" data-toggle="rst-current-version">
+    <span class="fa fa-book"> incubator-singa </span>
+    v: latest
+    <span class="fa fa-caret-down"></span>
+  </span>
+  <div class="rst-other-versions">
+      <dl>
+          <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>
+          <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>
+
+  </div>
+  <a href="http://incubator.apache.org/";> <img src= "../_static/apache.png" 
style="background-color:white;"> </a>
+
+  <a href="https://github.com/apache/incubator-singa"; class="fa fa-github" 
style="padding: 10px; font-size: 20px; width: 30px; text-align: center; 
text-decoration: none; margin: 5px 2px;"></a>
+  <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/apache/singa/"; class="fab fa-docker" 
style="padding: 10px; font-size: 20px; width: 30px; text-align: center; 
text-decoration: none; margin: 5px 2px;"></a> 
+  <a href="https://www.linkedin.com/groups/13550034"; class="fa fa-linkedin" 
style="padding: 10px; font-size: 20px; width: 30px; text-align: center; 
text-decoration: none; margin: 5px 2px;"></a>
+  <a href="https://twitter.com/ApacheSinga"; class="fa fa-twitter" 
style="padding: 10px; font-size: 20px; width: 30px; text-align: center; 
text-decoration: none; margin: 5px 2px;"></a>
+  <a href="https://www.facebook.com/Apache-SINGA-347284219056544/"; class="fa 
fa-facebook" style="padding: 10px; font-size: 20px; width: 30px; text-align: 
center; text-decoration: none; margin: 5px 2px;"></a>
+  <a href="https://www.researchgate.net/project/Apache-SINGA"; class="fab 
fa-researchgate" style="padding: 10px; font-size: 20px; width: 30px; 
text-align: center; text-decoration: none; margin: 5px 2px;"></a>
+
+</div>
+
+ <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>
+
  
- <div class="rst-versions" data-toggle="rst-versions" role="note" 
aria-label="versions">
-   <span class="rst-current-version" data-toggle="rst-current-version">
-     <span class="fa fa-book"> incubator-singa </span>
-     v: latest
-     <span class="fa fa-caret-down"></span>
-   </span>
-   <div class="rst-other-versions">
-       <dl>
-           <dt>Languages</dt>
-           <dd><a href="../../index.html">English</a></dd>
-           <dd><a href=".././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>
- 
-   </div>
-   <a href="http://www.apache.org"; style="color:lightblue;padding: 5px; 
font-size: 10px; text-align: center; text-decoration: none; margin: 5px 
2px;">Foundation</a>
-   <a href="http://www.apache.org/events/current-event"; 
style="color:lightblue;padding: 5px; font-size: 10px; text-align: center; 
text-decoration: none; margin: 5px 2px;">Events</a>
-   <a href="http://www.apache.org/foundation/thanks.html"; 
style="color:lightblue;padding: 5px; font-size: 10px; text-align: center; 
text-decoration: none; margin: 5px 2px;">Thanks</a>
-   <a href="http://www.apache.org/foundation/sponsorship.html"; 
style="color:lightblue;padding: 5px; font-size: 10px;  text-align: center; 
text-decoration: none; margin: 5px 2px;">Sponsorship</a>
-   <a href="http://www.apache.org/licenses/"; style="color:lightblue;padding: 
5px; font-size: 10px;  text-align: center; text-decoration: none; margin: 5px 
2px;">License</a>
-   <br>
-   <a href="https://github.com/apache/incubator-singa"; class="fa fa-github" 
style="padding: 10px; font-size: 20px; width: 30px; text-align: center; 
text-decoration: none; margin: 5px 2px;"></a>
-   <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/apache/singa/"; class="fab fa-docker" 
style="padding: 10px; font-size: 20px; width: 30px; text-align: center; 
text-decoration: none; margin: 5px 2px;"></a> 
-   <a href="https://www.linkedin.com/groups/13550034"; class="fa fa-linkedin" 
style="padding: 10px; font-size: 20px; width: 30px; text-align: center; 
text-decoration: none; margin: 5px 2px;"></a>
-   <a href="https://twitter.com/ApacheSinga"; class="fa fa-twitter" 
style="padding: 10px; font-size: 20px; width: 30px; text-align: center; 
text-decoration: none; margin: 5px 2px;"></a>
-   <a href="https://www.facebook.com/Apache-SINGA-347284219056544/"; class="fa 
fa-facebook" style="padding: 10px; font-size: 20px; width: 30px; text-align: 
center; text-decoration: none; margin: 5px 2px;"></a>
-   <a href="https://www.researchgate.net/project/Apache-SINGA"; class="fab 
fa-researchgate" style="padding: 10px; font-size: 20px; width: 30px; 
text-align: center; text-decoration: none; margin: 5px 2px;"></a>
- 
- </div>
- 
-  <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


Reply via email to