svn commit: r1857926 [7/8] - in /incubator/singa/site/trunk: ./ zh/ zh/_static/ zh/community/ zh/develop/ zh/docs/ zh/docs/model_zoo/ zh/docs/model_zoo/char-rnn/ zh/docs/model_zoo/cifar10/ zh/docs/model_zoo/imagenet/alexnet/ zh/docs/model_zoo/imagenet/...

Sun, 21 Apr 2019 14:58:55 -0700 

Modified: incubator/singa/site/trunk/zh/docs/tensor.html
URL: 
http://svn.apache.org/viewvc/incubator/singa/site/trunk/zh/docs/tensor.html?rev=1857926&r1=1857925&r2=1857926&view=diff
==============================================================================
--- incubator/singa/site/trunk/zh/docs/tensor.html (original)
+++ incubator/singa/site/trunk/zh/docs/tensor.html Sun Apr 21 21:57:38 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 1.1.0 documentation</title>
+  <title>张量(Tensor) &mdash; incubator-singa 2.0.0 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><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>
+<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>
 </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><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>
+<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>
 </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><p><strong>v (Tensor)</strong> – 被作为一列加
到原tensor的Tensor</p></li>
+<li><strong>v (Tensor)</strong> – 被作为一列加
到原tensor的Tensor</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><p><strong>v (Tensor)</strong> – 被作为行加
到原tensor的Tensor</p></li>
+<li><strong>v (Tensor)</strong> – 被作为行加到原tensor的Tensor</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><p><strong>p (float)</strong> – 以概率p取样一个元素为1</p></li>
+<li><strong>p (float)</strong> – 以概率p取样一个元素为1</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><p><strong>t (Tensor)</strong> – 源Tensor</p></li>
+<li><strong>t (Tensor)</strong> – 源Tensor</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><p><strong>np_array</strong> – 源numpy数组</p></li>
-<li><p><strong>offset (int)</strong> – 目标偏移</p></li>
+<li><strong>np_array</strong> – 源numpy数组</li>
+<li><strong>offset (int)</strong> – 目标偏移</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><p><strong>v (Tensor)</strong> – 
1维tensor，和源tensor的列长相同</p></li>
+<li><strong>v (Tensor)</strong> – 
1维tensor，和源tensor的列长相同</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><p><strong>v (Tensor)</strong> – 
1维tensor，和源tensor的行长相同</p></li>
+<li><strong>v (Tensor)</strong> – 
1维tensor，和源tensor的行长相同</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><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>
+<li><strong>mean (float)</strong> – 分布的均值</li>
+<li><strong>std (float)</strong> – 分布的标准差</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><p><strong>返回值：</strong> 被分配给该tensor的Bytes数</p></li>
+<li><strong>返回值：</strong> 被分配给该tensor的Bytes数</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><p><strong>v (Tensor)</strong> – 
1维tensor，同源tensor列长等长</p></li>
+<li><strong>v (Tensor)</strong> – 1维tensor，同源tensor列长等长</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><p><strong>v (Tensor)</strong> – 
1维tensor，同源tensor行长等长</p></li>
+<li><strong>v (Tensor)</strong> – 1维tensor，同源tensor行长等长</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><p><strong>t (Tensor)</strong> – 需要重置的tensor</p></li>
+<li><strong>t (Tensor)</strong> – 需要重置的tensor</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><p><strong>x(float)</strong> - 待设定的值</p></li>
+<li><strong>x(float)</strong> - 待设定的值</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><p><strong>device</strong> - 
从CudaGPU/CppCPU/OpenclGPU转换的swig设备</p></li>
+<li><strong>device</strong> - 
从CudaGPU/CppCPU/OpenclGPU转换的swig设备</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><p><strong>low (float)</strong> – 下界</p></li>
-<li><p><strong>high (float)</strong> – 上界</p></li>
+<li><strong>low (float)</strong> – 下界</li>
+<li><strong>high (float)</strong> – 上界</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><p><strong>t(Tensor)</strong> - 输入tensor</p></li>
+<li><strong>t(Tensor)</strong> - 输入tensor</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><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>
+<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>
 </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><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>
+<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>
 </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><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>
+<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>
 </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><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>
+<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>
 </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><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>
+<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>
 </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><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>
+<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>
 </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><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>
+<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>
 </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><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>
+<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>
 </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><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>
+<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>
 </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><p><strong>t (Tensor)</strong> – 输入tensor</p></li>
+<li><strong>t (Tensor)</strong> – 输入tensor</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><p><strong>np_array</strong> – numpy数组</p></li>
+<li><strong>np_array</strong> – numpy数组</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><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>
+<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>
 </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><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>
+<li><strong>t (Tensor)</strong> – 左操作数</li>
+<li><strong>x (Tensor or float)</strong> – 右操作数</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><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>
+<li><strong>t (Tensor)</strong> – 左操作tensor</li>
+<li><strong>x (Tensor or float)</strong> – 右操作tensor或数</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><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>
+<li><strong>t (Tensor)</strong> – 左操作tensor</li>
+<li><strong>x (Tensor or float)</strong> – 右操作tensor或数</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><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>
+<li><strong>t (Tensor)</strong> – 左操作tensor</li>
+<li><strong>x (Tensor or float)</strong> – 右操作tensor或数</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><p><strong>t (Tensor)</strong> – 输入tensor</p></li>
+<li><strong>t (Tensor)</strong> – 输入tensor</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><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>
+<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>
 </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><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>
+<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>
 </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><p><strong>t (Tensor)</strong> – 输入tensor</p></li>
+<li><strong>t (Tensor)</strong> – 输入tensor</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><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>
+<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>
 </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><p><strong>t (Tensor)</strong> – 输入tensor</p></li>
+<li><strong>t (Tensor)</strong> – 输入tensor</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><p><strong>t (Tensor)</strong> – 输入tensor</p></li>
+<li><strong>t (Tensor)</strong> – 输入tensor</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><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>
+<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>
 </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><p><strong>t (Tensor)</strong> – 输入tensor</p></li>
+<li><strong>t (Tensor)</strong> – 输入tensor</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><p><strong>t (Tensor)</strong> – 输入tensor</p></li>
+<li><strong>t (Tensor)</strong> – 输入tensor</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><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>
+<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>
 </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><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>
+<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>
 </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><p><strong>M (Tensor)</strong> – 输入的2维tensor</p></li>
+<li><strong>M (Tensor)</strong> – 输入的2维tensor</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><p><strong>M (Tensor)</strong> – 输入的2维tensor</p></li>
+<li><strong>M (Tensor)</strong> – 输入的2维tensor</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><p><strong>t (Tensor)</strong> – 输入tensor</p></li>
+<li><strong>t (Tensor)</strong> – 输入tensor</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><p><strong>t (Tensor)</strong> – 输入tensor</p></li>
+<li><strong>t (Tensor)</strong> – 输入tensor</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><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>
+<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>
 </ul>
 <p><strong>返回值：</strong> t</p>
 <hr class="docutils" />
@@ -885,46 +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://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>
+ 
+  
+ 
 
 </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=1857926&r1=1857925&r2=1857926&view=diff
==============================================================================
--- incubator/singa/site/trunk/zh/docs/utils.html (original)
+++ incubator/singa/site/trunk/zh/docs/utils.html Sun Apr 21 21:57:38 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 1.1.0 documentation</title>
+  <title>Utils &mdash; incubator-singa 2.0.0 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><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>
+<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>
 </ul>
 <hr class="docutils" />
 </div>
@@ -279,46 +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://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>
+ 
+  
+ 
 
 </body>
 </html>
\ No newline at end of file

Modified: incubator/singa/site/trunk/zh/downloads.html
URL: 
http://svn.apache.org/viewvc/incubator/singa/site/trunk/zh/downloads.html?rev=1857926&r1=1857925&r2=1857926&view=diff
==============================================================================
--- incubator/singa/site/trunk/zh/downloads.html (original)
+++ incubator/singa/site/trunk/zh/downloads.html Sun Apr 21 21:57:38 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>下载 SINGA &mdash; incubator-singa 1.1.0 documentation</title>
+  <title>下载 SINGA &mdash; incubator-singa 2.0.0 documentation</title>
   
 
   
@@ -38,18 +38,18 @@
     <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="用VGG做图像分类" 
href="docs/model_zoo/imagenet/vgg/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 {
-           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">
@@ -198,150 +198,144 @@
 --><div class="section" id="singa">
 <h1>下载 SINGA<a class="headerlink" href="#singa" title="Permalink to this 
headline">¶</a></h1>
 <ul>
-<li><p>要验证下载的tar.gz文件，请下载KEY和ASC文件，然后执行以下命令</p>
+<li><p 
class="first">要验证下载的tar.gz文件，请下载KEY和ASC文件，然后执行以下命令</p>
 <div class="highlight-default notranslate"><div 
class="highlight"><pre><span></span>  <span class="o">%</span> <span 
class="n">gpg</span> <span class="o">--</span><span class="kn">import</span> 
<span class="nn">KEYS</span>
   <span class="o">%</span> <span class="n">gpg</span> <span 
class="o">--</span><span class="n">verify</span> <span 
class="n">downloaded_file</span><span class="o">.</span><span 
class="n">asc</span> <span class="n">downloaded_file</span>
 </pre></div>
 </div>
 <p>您还可以检查SHA512或MD5值以查看下载是否已完成</p>
 </li>
-<li><p>v1.2.0 (2018年6月6日):</p>
+<li><p class="first">v1.2.0 (2018年6月6日):</p>
 <ul class="simple">
-<li><p><a class="reference external" 
href="http://www.apache.org/dyn/closer.cgi/incubator/singa/1.2.0/apache-singa-incubating-1.2.0.tar.gz";>Apache
 SINGA 1.2.0</a>
+<li><a class="reference external" 
href="http://www.apache.org/dyn/closer.cgi/incubator/singa/1.2.0/apache-singa-incubating-1.2.0.tar.gz";>Apache
 SINGA 1.2.0</a>
 <a class="reference external" 
href="https://www.apache.org/dist/incubator/singa/1.2.0/apache-singa-incubating-1.2.0.tar.gz.sha512";>[SHA512]</a>
 <a class="reference external" 
href="https://www.apache.org/dist/incubator/singa/1.2.0/KEYS";>[KEYS]</a>
-<a class="reference external" 
href="https://www.apache.org/dist/incubator/singa/1.2.0/apache-singa-incubating-1.2.0.tar.gz.asc";>[ASC]</a></p></li>
-<li><p><a class="reference external" 
href="releases/RELEASE_NOTES_1.2.0.html">发行说明 1.2.0</a></p></li>
-<li><p>新功能和主要更新,</p>
-<ul>
-<li><p>实现 autograd (目前支持MLP模型)</p></li>
-<li><p>升级 PySinga 以支持 Python 3</p></li>
-<li><p>为 Tensor 类添加 stride field</p></li>
-<li><p>讲 cuDNN 从 V5 升级到 V7</p></li>
-<li><p>为 ImageNet 分类任务添加 VGG, Inception V4, ResNet, 及 DenseNet 
模型</p></li>
-<li><p>为 conda 包创建别名</p></li>
-<li><p>完善中文文档</p></li>
-<li><p>添加在 Windows 上运行 Singa 的说明</p></li>
-<li><p>更新编译, CI</p></li>
-<li><p>修复一些错误</p></li>
+<a class="reference external" 
href="https://www.apache.org/dist/incubator/singa/1.2.0/apache-singa-incubating-1.2.0.tar.gz.asc";>[ASC]</a></li>
+<li><a class="reference external" 
href="releases/RELEASE_NOTES_1.2.0.html">发行说明 1.2.0</a></li>
+<li>新功能和主要更新,<ul>
+<li>实现 autograd (目前支持MLP模型)</li>
+<li>升级 PySinga 以支持 Python 3</li>
+<li>为 Tensor 类添加 stride field</li>
+<li>讲 cuDNN 从 V5 升级到 V7</li>
+<li>为 ImageNet 分类任务添加 VGG, Inception V4, ResNet, 及 DenseNet 
模型</li>
+<li>为 conda 包创建别名</li>
+<li>完善中文文档</li>
+<li>添加在 Windows 上运行 Singa 的说明</li>
+<li>更新编译, CI</li>
+<li>修复一些错误</li>
 </ul>
 </li>
 </ul>
 </li>
-<li><p>v1.1.0 (2017年2月12日):</p>
+<li><p class="first">v1.1.0 (2017年2月12日):</p>
 <ul class="simple">
-<li><p><a class="reference external" 
href="http://www.apache.org/dyn/closer.cgi/incubator/singa/1.1.0/apache-singa-incubating-1.1.0.tar.gz";>Apache
 SINGA 1.1.0</a>
+<li><a class="reference external" 
href="http://www.apache.org/dyn/closer.cgi/incubator/singa/1.1.0/apache-singa-incubating-1.1.0.tar.gz";>Apache
 SINGA 1.1.0</a>
 <a class="reference external" 
href="https://archive.apache.org/dist/incubator/singa/1.1.0/apache-singa-incubating-1.1.0.tar.gz.md5";>[MD5]</a>
 <a class="reference external" 
href="https://archive.apache.org/dist/incubator/singa/1.1.0/KEYS";>[KEYS]</a>
-<a class="reference external" 
href="https://archive.apache.org/dist/incubator/singa/1.1.0/apache-singa-incubating-1.1.0.tar.gz.asc";>[ASC]</a></p></li>
-<li><p><a class="reference external" 
href="releases/RELEASE_NOTES_1.1.0.html">发行说明 1.1.0</a></p></li>
-<li><p>新功能和主要更新,</p>
-<ul>
-<li><p>创建 Docker 镜像（CPU和GPU版本）</p></li>
-<li><p>为 SINGA 创建 Amazon AMI（CPU版本）</p></li>
-<li><p>与 Jenkins 集成以自动生成 Wheel 和 Debian 软件包
（用于安装），并更新网站.</p></li>
-<li><p>增强 FeedFowardNet, 例如，用于调试的多输å…
¥å’Œè¯¦ç»†æ¨¡å¼</p></li>
-<li><p>添加 Concat 和 Slice 层</p></li>
-<li><p>扩展 CrossEntropyLoss 以接受具有多个标签的实例</p></li>
-<li><p>添加 image_tool.py 与图像增强方法</p></li>
-<li><p>通过 Snapshot API 支持模型加载和保存</p></li>
-<li><p>在 Windows 上编译 SINGA 源代码</p></li>
-<li><p>用 SINGA 代码编译强制依赖库</p></li>
-<li><p>启用 S​​INGA 的 Java 绑定（基本）</p></li>
-<li><p>在检查点文件中添加版本 ID</p></li>
-<li><p>添加 Rafiki 工具包以提供 RESTFul API</p></li>
-<li><p>添加 Caffe 预训练的例子，包括 GoogleNet</p></li>
+<a class="reference external" 
href="https://archive.apache.org/dist/incubator/singa/1.1.0/apache-singa-incubating-1.1.0.tar.gz.asc";>[ASC]</a></li>
+<li><a class="reference external" 
href="releases/RELEASE_NOTES_1.1.0.html">发行说明 1.1.0</a></li>
+<li>新功能和主要更新,<ul>
+<li>创建 Docker 镜像（CPU和GPU版本）</li>
+<li>为 SINGA 创建 Amazon AMI（CPU版本）</li>
+<li>与 Jenkins 集成以自动生成 Wheel 和 Debian 软件包（用于安装
），并更新网站.</li>
+<li>增强 FeedFowardNet, 例如，用于调试的多输入和详细模式</li>
+<li>添加 Concat 和 Slice 层</li>
+<li>扩展 CrossEntropyLoss 以接受具有多个标签的实例</li>
+<li>添加 image_tool.py 与图像增强方法</li>
+<li>通过 Snapshot API 支持模型加载和保存</li>
+<li>在 Windows 上编译 SINGA 源代码</li>
+<li>用 SINGA 代码编译强制依赖库</li>
+<li>启用 S​​INGA 的 Java 绑定（基本）</li>
+<li>在检查点文件中添加版本 ID</li>
+<li>添加 Rafiki 工具包以提供 RESTFul API</li>
+<li>添加 Caffe 预训练的例子，包括 GoogleNet</li>
 </ul>
 </li>
 </ul>
 </li>
-<li><p>v1.0.0 (2016年9月8日):</p>
+<li><p class="first">v1.0.0 (2016年9月8日):</p>
 <ul class="simple">
-<li><p><a class="reference external" 
href="https://archive.apache.org/dist/incubator/singa/1.0.0/apache-singa-incubating-1.0.0.tar.gz";>Apache
 SINGA 1.0.0</a>
+<li><a class="reference external" 
href="https://archive.apache.org/dist/incubator/singa/1.0.0/apache-singa-incubating-1.0.0.tar.gz";>Apache
 SINGA 1.0.0</a>
 <a class="reference external" 
href="https://archive.apache.org/dist/incubator/singa/1.0.0/apache-singa-incubating-1.0.0.tar.gz.md5";>[MD5]</a>
 <a class="reference external" 
href="https://archive.apache.org/dist/incubator/singa//1.0.0/KEYS";>[KEYS]</a>
-<a class="reference external" 
href="https://archive.apache.org/dist/incubator/singa/1.0.0/apache-singa-incubating-1.0.0.tar.gz.asc";>[ASC]</a></p></li>
-<li><p><a class="reference external" 
href="releases/RELEASE_NOTES_1.0.0.html">发行说明 1.0.0</a></p></li>
-<li><p>新功能和主要更新,</p>
-<ul>
-<li><p>用于支持更多机器学习模型的张量抽象.</p></li>
-<li><p>设备抽象运行在不同的硬件设备上，包括CPU，（Nvidia / 
AMD）GPU 和 FPGA（将在更高版本中测试）.</p></li>
-<li><p>用 cmake 替换 GNU autotool 进行编译.</p></li>
-<li><p>支持 Mac OS</p></li>
-<li><p>改进Python绑定，包括安装和编程</p></li>
-<li><p>更多深度学习模型, 包括 VGG 和 ResNet</p></li>
-<li><p>读取/写入文件和编码/解码数据的更多 IO 类</p></li>
-<li><p>直接基于 Socket 的新网络通信组件.</p></li>
-<li><p>包含 Dropout 和 RNN 层的 Cudnn V5.</p></li>
-<li><p>将网站制作工具从 maven 替换为 Sphinx</p></li>
-<li><p>整合 Travis-CI</p></li>
+<a class="reference external" 
href="https://archive.apache.org/dist/incubator/singa/1.0.0/apache-singa-incubating-1.0.0.tar.gz.asc";>[ASC]</a></li>
+<li><a class="reference external" 
href="releases/RELEASE_NOTES_1.0.0.html">发行说明 1.0.0</a></li>
+<li>新功能和主要更新,<ul>
+<li>用于支持更多机器学习模型的张量抽象.</li>
+<li>设备抽象运行在不同的硬件设备上，包括CPU，（Nvidia / 
AMD）GPU 和 FPGA（将在更高版本中测试）.</li>
+<li>用 cmake 替换 GNU autotool 进行编译.</li>
+<li>支持 Mac OS</li>
+<li>改进Python绑定，包括安装和编程</li>
+<li>更多深度学习模型, 包括 VGG 和 ResNet</li>
+<li>读取/写入文件和编码/解码数据的更多 IO 类</li>
+<li>直接基于 Socket 的新网络通信组件.</li>
+<li>包含 Dropout 和 RNN 层的 Cudnn V5.</li>
+<li>将网站制作工具从 maven 替换为 Sphinx</li>
+<li>整合 Travis-CI</li>
 </ul>
 </li>
 </ul>
 </li>
-<li><p>v0.3.0 (2016年4月20日):</p>
+<li><p class="first">v0.3.0 (2016年4月20日):</p>
 <ul class="simple">
-<li><p><a class="reference external" 
href="https://archive.apache.org/dist/incubator/singa/0.3.0/apache-singa-incubating-0.3.0.tar.gz";>Apache
 SINGA 0.3.0</a>
+<li><a class="reference external" 
href="https://archive.apache.org/dist/incubator/singa/0.3.0/apache-singa-incubating-0.3.0.tar.gz";>Apache
 SINGA 0.3.0</a>
 <a class="reference external" 
href="https://archive.apache.org/dist/incubator/singa/0.3.0/apache-singa-incubating-0.3.0.tar.gz.md5";>[MD5]</a>
 <a class="reference external" 
href="https://archive.apache.org/dist/incubator/singa/0.3.0/KEYS";>[KEYS]</a>
-<a class="reference external" 
href="https://archive.apache.org/dist/incubator/singa/0.3.0/apache-singa-incubating-0.3.0.tar.gz.asc";>[ASC]</a></p></li>
-<li><p><a class="reference external" 
href="releases/RELEASE_NOTES_0.3.0.html">发行说明 0.3.0</a></p></li>
-<li><p>新功能和主要更新,</p>
-<ul>
-<li><p><a class="reference external" href="v0.3.0/gpu.html">在 GPU 
集群上</a> 可以在 GPU 集群上训练深度学习模型.</p></li>
-<li><p><a class="reference external" href="v0.3.0/python.html">Python 包装
器的改进</a> 使得配置工作变得很容易, 包括神经网络和 SGD 
算法.</p></li>
-<li><p><a class="reference external" href="v0.3.0/updater.html">新增 SGD 
更新器</a>, 包括 Adam, AdaDelta 和 AdaMax.</p></li>
-<li><p><a class="reference external" href="v0.3.0/installation.html">安装
</a> 具有较少的相关库， 对于单节点培训.</p></li>
-<li><p>在 CPU 和 GPU 上进行异构训练.</p></li>
-<li><p>支持 cuDNN V4.</p></li>
-<li><p>数据预读取.</p></li>
-<li><p>修复一些错误.</p></li>
+<a class="reference external" 
href="https://archive.apache.org/dist/incubator/singa/0.3.0/apache-singa-incubating-0.3.0.tar.gz.asc";>[ASC]</a></li>
+<li><a class="reference external" 
href="releases/RELEASE_NOTES_0.3.0.html">发行说明 0.3.0</a></li>
+<li>新功能和主要更新,<ul>
+<li><a class="reference external" href="v0.3.0/gpu.html">在 GPU 集群上</a> 
可以在 GPU 集群上训练深度学习模型.</li>
+<li><a class="reference external" href="v0.3.0/python.html">Python 包装
器的改进</a> 使得配置工作变得很容易, 包括神经网络和 SGD 
算法.</li>
+<li><a class="reference external" href="v0.3.0/updater.html">新增 SGD 
更新器</a>, 包括 Adam, AdaDelta 和 AdaMax.</li>
+<li><a class="reference external" href="v0.3.0/installation.html">安装</a> å…
·æœ‰è¾ƒå°‘的相关库， 对于单节点培训.</li>
+<li>在 CPU 和 GPU 上进行异构训练.</li>
+<li>支持 cuDNN V4.</li>
+<li>数据预读取.</li>
+<li>修复一些错误.</li>
 </ul>
 </li>
 </ul>
 </li>
-<li><p>v0.2.0 (2016年1月14日):</p>
+<li><p class="first">v0.2.0 (2016年1月14日):</p>
 <ul class="simple">
-<li><p><a class="reference external" 
href="https://archive.apache.org/dist/incubator/singa/0.2.0/apache-singa-incubating-0.2.0.tar.gz";>Apache
 SINGA 0.2.0</a>
+<li><a class="reference external" 
href="https://archive.apache.org/dist/incubator/singa/0.2.0/apache-singa-incubating-0.2.0.tar.gz";>Apache
 SINGA 0.2.0</a>
 <a class="reference external" 
href="https://archive.apache.org/dist/incubator/singa/0.2.0/apache-singa-incubating-0.2.0.tar.gz.md5";>[MD5]</a>
 <a class="reference external" 
href="https://archive.apache.org/dist/incubator/singa/0.2.0/KEYS";>[KEYS]</a>
-<a class="reference external" 
href="https://archive.apache.org/dist/incubator/singa/0.2.0/apache-singa-incubating-0.2.0.tar.gz.asc";>[ASC]</a></p></li>
-<li><p><a class="reference external" 
href="releases/RELEASE_NOTES_0.2.0.html">发行说明 0.2.0</a></p></li>
-<li><p>新功能和主要更新,</p>
-<ul>
-<li><p><a class="reference external" href="v0.2.0/gpu.html">在 GPU 
上进行训练</a> 可以在具有多个 GPU 
卡的单个节点上对复杂模型进行训练.</p></li>
-<li><p><a class="reference external" 
href="v0.2.0/hybrid.html">混合神经网络划分</a> 
同时支持数据和模型并行.</p></li>
-<li><p><a class="reference external" href="v0.2.0/python.html">Python 包装
器</a> 可以很容易地配置作业，包括神经网络和 SGD 
算法.</p></li>
-<li><p><a class="reference external" href="v0.2.0/general-rnn.html">RNN 
模型和 BPTT 算法</a> 实现并支持基于 RNN 模型的应用，例如 
GRU.</p></li>
-<li><p><a class="reference external" 
href="v0.2.0/distributed-training.html">云软件集成</a> 包括 
Mesos，Docker 和 HDFS.</p></li>
-<li><p>可视化神经网络结构和层信息，有助于调试.</p></li>
-<li><p>线性代数函数和针对 Blob 
和原始数据指针的随机函数.</p></li>
-<li><p>新层，包括 Softmax 层，ArgSort 层，Dummy 层，RNN 层和 
cuDNN 层</p></li>
-<li><p>更新 Layer 类以携带多个数据/梯度 Blob.</p></li>
-<li><p>通过加
载预训练模型参数来提取新数据的特征和测试性能.</p></li>
-<li><p>为 IO 操作添加 Store 类.</p></li>
+<a class="reference external" 
href="https://archive.apache.org/dist/incubator/singa/0.2.0/apache-singa-incubating-0.2.0.tar.gz.asc";>[ASC]</a></li>
+<li><a class="reference external" 
href="releases/RELEASE_NOTES_0.2.0.html">发行说明 0.2.0</a></li>
+<li>新功能和主要更新,<ul>
+<li><a class="reference external" href="v0.2.0/gpu.html">在 GPU 
上进行训练</a> 可以在具有多个 GPU 
卡的单个节点上对复杂模型进行训练.</li>
+<li><a class="reference external" 
href="v0.2.0/hybrid.html">混合神经网络划分</a> 
同时支持数据和模型并行.</li>
+<li><a class="reference external" href="v0.2.0/python.html">Python 包装
器</a> 可以很容易地配置作业，包括神经网络和 SGD 算法.</li>
+<li><a class="reference external" href="v0.2.0/general-rnn.html">RNN 模型和 
BPTT 算法</a> 实现并支持基于 RNN 模型的应用，例如 GRU.</li>
+<li><a class="reference external" 
href="v0.2.0/distributed-training.html">云软件集成</a> 包括 
Mesos，Docker 和 HDFS.</li>
+<li>可视化神经网络结构和层信息，有助于调试.</li>
+<li>线性代数函数和针对 Blob 和原始数据指针的随机函数.</li>
+<li>新层，包括 Softmax 层，ArgSort 层，Dummy 层，RNN 层和 cuDNN 
层</li>
+<li>更新 Layer 类以携带多个数据/梯度 Blob.</li>
+<li>通过加
载预训练模型参数来提取新数据的特征和测试性能.</li>
+<li>为 IO 操作添加 Store 类.</li>
 </ul>
 </li>
 </ul>
 </li>
-<li><p>v0.1.0 (2015年10月8日):</p>
+<li><p class="first">v0.1.0 (2015年10月8日):</p>
 <ul class="simple">
-<li><p><a class="reference external" 
href="https://archive.apache.org/dist/incubator/singa/apache-singa-incubating-0.1.0.tar.gz";>Apache
 SINGA 0.1.0</a>
+<li><a class="reference external" 
href="https://archive.apache.org/dist/incubator/singa/apache-singa-incubating-0.1.0.tar.gz";>Apache
 SINGA 0.1.0</a>
 <a class="reference external" 
href="https://archive.apache.org/dist/incubator/singa/apache-singa-incubating-0.1.0.tar.gz.md5";>[MD5]</a>
 <a class="reference external" 
href="https://archive.apache.org/dist/incubator/singa/KEYS";>[KEYS]</a>
-<a class="reference external" 
href="https://archive.apache.org/dist/incubator/singa/apache-singa-incubating-0.1.0.tar.gz.asc";>[ASC]</a></p></li>
-<li><p><a class="reference external" 
href="https://console.aws.amazon.com/ec2/v2/home?region=ap-southeast-1#LaunchInstanceWizard:ami=ami-b41001e6";>Amazon
 EC2 image</a></p></li>
-<li><p><a class="reference external" 
href="releases/RELEASE_NOTES_0.1.0.html">发行说明 0.1.0</a></p></li>
-<li><p>主要功能包括,</p>
-<ul>
-<li><p>使用 GNU build 程序进行安装</p></li>
-<li><p>用 zookeeper 进行工作管理的脚本</p></li>
-<li><p>基于神经网络和层抽象的编程模型.</p></li>
-<li><p>基于 Worker，Server 和 Stub 的系统体系结构.</p></li>
-<li><p>训练三种不同类别的模型，即前馈模型，能量模型和 
RNN 模型.</p></li>
-<li><p>使用 CPU 的同步和异步分布式训练框架</p></li>
-<li><p>检查点和恢复</p></li>
-<li><p>使用 gtest 进行单元测试</p></li>
+<a class="reference external" 
href="https://archive.apache.org/dist/incubator/singa/apache-singa-incubating-0.1.0.tar.gz.asc";>[ASC]</a></li>
+<li><a class="reference external" 
href="https://console.aws.amazon.com/ec2/v2/home?region=ap-southeast-1#LaunchInstanceWizard:ami=ami-b41001e6";>Amazon
 EC2 image</a></li>
+<li><a class="reference external" 
href="releases/RELEASE_NOTES_0.1.0.html">发行说明 0.1.0</a></li>
+<li>主要功能包括,<ul>
+<li>使用 GNU build 程序进行安装</li>
+<li>用 zookeeper 进行工作管理的脚本</li>
+<li>基于神经网络和层抽象的编程模型.</li>
+<li>基于 Worker，Server 和 Stub 的系统体系结构.</li>
+<li>训练三种不同类别的模型，即前馈模型，能量模型和 RNN 
模型.</li>
+<li>使用 CPU 的同步和异步分布式训练框架</li>
+<li>检查点和恢复</li>
+<li>使用 gtest 进行单元测试</li>
 </ul>
 </li>
 </ul>
@@ -405,46 +399,46 @@ ASF.</p>
   
     
   
-
-<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://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>
+ 
+  
+ 
 
 </body>
 </html>
\ No newline at end of file

Modified: incubator/singa/site/trunk/zh/genindex.html
URL: 
http://svn.apache.org/viewvc/incubator/singa/site/trunk/zh/genindex.html?rev=1857926&r1=1857925&r2=1857926&view=diff
==============================================================================
--- incubator/singa/site/trunk/zh/genindex.html (original)
+++ incubator/singa/site/trunk/zh/genindex.html Sun Apr 21 21:57:38 2019
@@ -1,6 +1,6 @@
 
 
-
+ 
 
 <!DOCTYPE html>
 <!--[if IE 8]><html class="no-js lt-ie9" lang="en" > <![endif]-->
@@ -10,7 +10,7 @@
   
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Index &mdash; incubator-singa 1.1.0 documentation</title>
+  <title>Index &mdash; incubator-singa 2.0.0 documentation</title>
   
 
   
@@ -37,18 +37,18 @@
   <link rel="stylesheet" href="_static/pygments.css" type="text/css" />
     <link rel="index" title="Index" href="#" />
     <link rel="search" title="Search" href="search.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">
@@ -222,46 +222,46 @@
   
     
   
-
-<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://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>
+ 
+  
+ 
 
 </body>
 </html>
\ No newline at end of file

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