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Posted to commits@singa.apache.org by wa...@apache.org on 2015/05/07 15:08:07 UTC
[43/57] [partial] incubator-singa git commit: create github pages
http://git-wip-us.apache.org/repos/asf/incubator-singa/blob/666a841d/api/classmshadow_1_1Random.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
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+ <div id="navrow2" class="tabs2">
+ <ul class="tablist">
+ <li><a href="annotated.html"><span>Class List</span></a></li>
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+
+<div id="nav-path" class="navpath">
+ <ul>
+<li class="navelem"><a class="el" href="namespacemshadow.html">mshadow</a></li><li class="navelem"><a class="el" href="classmshadow_1_1Random.html">Random</a></li> </ul>
+</div>
+</div><!-- top -->
+<div class="header">
+ <div class="headertitle">
+<div class="title">mshadow::Random< Device > Class Template Reference</div> </div>
+</div><!--header-->
+<div class="contents">
+
+<p>random number generator
+ <a href="classmshadow_1_1Random.html#details">More...</a></p>
+
+<p><code>#include <<a class="el" href="tensor__random_8h_source.html">tensor_random.h</a>></code></p>
+<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
+<div class="textblock"><h3>template<typename Device><br/>
+class mshadow::Random< Device ></h3>
+
+<p>random number generator </p>
+<dl class="tparams"><dt>Template Parameters</dt><dd>
+ <table class="tparams">
+ <tr><td class="paramname">Device</td><td>the device of random number generator </td></tr>
+ </table>
+ </dd>
+</dl>
+</div><hr/>The documentation for this class was generated from the following file:<ul>
+<li>/home/wangwei/program/asf/incubator-singa/include/mshadow/<a class="el" href="tensor__random_8h_source.html">tensor_random.h</a></li>
+</ul>
+</div><!-- contents -->
+<!-- start footer part -->
+<hr class="footer"/><address class="footer"><small>
+Generated on Thu May 7 2015 17:15:38 for Apache SINGA by  <a href="http://www.doxygen.org/index.html">
+<img class="footer" src="doxygen.png" alt="doxygen"/>
+</a> 1.8.6
+</small></address>
+</body>
+</html>
http://git-wip-us.apache.org/repos/asf/incubator-singa/blob/666a841d/api/classmshadow_1_1Random_3_01cpu_01_4-members.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
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+ <td style="padding-left: 0.5em;">
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+ </div>
+ <div id="projectbrief">A distributed deep learning platform .</div>
+ </td>
+ </tr>
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+</table>
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+<!-- end header part -->
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+ <div id="navrow2" class="tabs2">
+ <ul class="tablist">
+ <li><a href="annotated.html"><span>Class List</span></a></li>
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+ <li><a href="hierarchy.html"><span>Class Hierarchy</span></a></li>
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+ <ul>
+<li class="navelem"><a class="el" href="namespacemshadow.html">mshadow</a></li><li class="navelem"><a class="el" href="classmshadow_1_1Random_3_01cpu_01_4.html">Random< cpu ></a></li> </ul>
+</div>
+</div><!-- top -->
+<div class="header">
+ <div class="headertitle">
+<div class="title">mshadow::Random< cpu > Member List</div> </div>
+</div><!--header-->
+<div class="contents">
+
+<p>This is the complete list of members for <a class="el" href="classmshadow_1_1Random_3_01cpu_01_4.html">mshadow::Random< cpu ></a>, including all inherited members.</p>
+<table class="directory">
+ <tr class="even"><td class="entry"><a class="el" href="classmshadow_1_1Random_3_01cpu_01_4.html#a02bda6de5df10888ebb1c7a4ce74752b">gaussian</a>(Shape< dim > shape)</td><td class="entry"><a class="el" href="classmshadow_1_1Random_3_01cpu_01_4.html">mshadow::Random< cpu ></a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr><td class="entry"><a class="el" href="classmshadow_1_1Random_3_01cpu_01_4.html#ae204dc77cce8f5d0c2324b03ffb3123f">Random</a>(int seed)</td><td class="entry"><a class="el" href="classmshadow_1_1Random_3_01cpu_01_4.html">mshadow::Random< cpu ></a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr class="even"><td class="entry"><a class="el" href="classmshadow_1_1Random_3_01cpu_01_4.html#a8a5c2112a40b530f20f86059a8a95497">SampleGaussian</a>(Tensor< cpu, dim > &dst, real_t mu=0.0f, real_t sigma=1.0f)</td><td class="entry"><a class="el" href="classmshadow_1_1Random_3_01cpu_01_4.html">mshadow::Random< cpu ></a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr><td class="entry"><a class="el" href="classmshadow_1_1Random_3_01cpu_01_4.html#a620ced34b2332ce1ce7edb3efad520ba">SampleUniform</a>(Tensor< cpu, dim > &dst, real_t a=0.0f, real_t b=1.0f)</td><td class="entry"><a class="el" href="classmshadow_1_1Random_3_01cpu_01_4.html">mshadow::Random< cpu ></a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr class="even"><td class="entry"><a class="el" href="classmshadow_1_1Random_3_01cpu_01_4.html#a2c423bd57a74322830b241e99825c22b">Seed</a>(int seed)</td><td class="entry"><a class="el" href="classmshadow_1_1Random_3_01cpu_01_4.html">mshadow::Random< cpu ></a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr><td class="entry"><a class="el" href="classmshadow_1_1Random_3_01cpu_01_4.html#ac29cd89c4a4413aaaa76a0bb75ea7300">uniform</a>(Shape< dim > shape)</td><td class="entry"><a class="el" href="classmshadow_1_1Random_3_01cpu_01_4.html">mshadow::Random< cpu ></a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>~Random</b>() (defined in <a class="el" href="classmshadow_1_1Random_3_01cpu_01_4.html">mshadow::Random< cpu ></a>)</td><td class="entry"><a class="el" href="classmshadow_1_1Random_3_01cpu_01_4.html">mshadow::Random< cpu ></a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+</table></div><!-- contents -->
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+<hr class="footer"/><address class="footer"><small>
+Generated on Thu May 7 2015 17:15:38 for Apache SINGA by  <a href="http://www.doxygen.org/index.html">
+<img class="footer" src="doxygen.png" alt="doxygen"/>
+</a> 1.8.6
+</small></address>
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+</html>
http://git-wip-us.apache.org/repos/asf/incubator-singa/blob/666a841d/api/classmshadow_1_1Random_3_01cpu_01_4.html
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diff --git a/api/classmshadow_1_1Random_3_01cpu_01_4.html b/api/classmshadow_1_1Random_3_01cpu_01_4.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
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+ <td style="padding-left: 0.5em;">
+ <div id="projectname">Apache SINGA
+ </div>
+ <div id="projectbrief">A distributed deep learning platform .</div>
+ </td>
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+ name="MSearchResults" id="MSearchResults">
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+</div>
+
+<div id="nav-path" class="navpath">
+ <ul>
+<li class="navelem"><a class="el" href="namespacemshadow.html">mshadow</a></li><li class="navelem"><a class="el" href="classmshadow_1_1Random_3_01cpu_01_4.html">Random< cpu ></a></li> </ul>
+</div>
+</div><!-- top -->
+<div class="header">
+ <div class="summary">
+<a href="#pub-methods">Public Member Functions</a> |
+<a href="classmshadow_1_1Random_3_01cpu_01_4-members.html">List of all members</a> </div>
+ <div class="headertitle">
+<div class="title">mshadow::Random< cpu > Class Template Reference</div> </div>
+</div><!--header-->
+<div class="contents">
+
+<p>CPU random number generator.
+ <a href="classmshadow_1_1Random_3_01cpu_01_4.html#details">More...</a></p>
+
+<p><code>#include <<a class="el" href="tensor__random_8h_source.html">tensor_random.h</a>></code></p>
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
+Public Member Functions</h2></td></tr>
+<tr class="memitem:ae204dc77cce8f5d0c2324b03ffb3123f"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classmshadow_1_1Random_3_01cpu_01_4.html#ae204dc77cce8f5d0c2324b03ffb3123f">Random</a> (int seed)</td></tr>
+<tr class="memdesc:ae204dc77cce8f5d0c2324b03ffb3123f"><td class="mdescLeft"> </td><td class="mdescRight">constructor of random engine <a href="#ae204dc77cce8f5d0c2324b03ffb3123f">More...</a><br/></td></tr>
+<tr class="separator:ae204dc77cce8f5d0c2324b03ffb3123f"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a2c423bd57a74322830b241e99825c22b"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classmshadow_1_1Random_3_01cpu_01_4.html#a2c423bd57a74322830b241e99825c22b">Seed</a> (int seed)</td></tr>
+<tr class="memdesc:a2c423bd57a74322830b241e99825c22b"><td class="mdescLeft"> </td><td class="mdescRight">seed random number generator using this seed <a href="#a2c423bd57a74322830b241e99825c22b">More...</a><br/></td></tr>
+<tr class="separator:a2c423bd57a74322830b241e99825c22b"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a620ced34b2332ce1ce7edb3efad520ba"><td class="memTemplParams" colspan="2">template<int dim> </td></tr>
+<tr class="memitem:a620ced34b2332ce1ce7edb3efad520ba"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classmshadow_1_1Random_3_01cpu_01_4.html#a620ced34b2332ce1ce7edb3efad520ba">SampleUniform</a> (<a class="el" href="structmshadow_1_1Tensor.html">Tensor</a>< <a class="el" href="structmshadow_1_1cpu.html">cpu</a>, dim > &dst, <a class="el" href="namespacemshadow.html#a6b8da350a039195525801b23b3a2d942">real_t</a> a=0.0f, real_t b=1.0f)</td></tr>
+<tr class="memdesc:a620ced34b2332ce1ce7edb3efad520ba"><td class="mdescLeft"> </td><td class="mdescRight">generate data from uniform [a,b) <a href="#a620ced34b2332ce1ce7edb3efad520ba">More...</a><br/></td></tr>
+<tr class="separator:a620ced34b2332ce1ce7edb3efad520ba"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a8a5c2112a40b530f20f86059a8a95497"><td class="memTemplParams" colspan="2">template<int dim> </td></tr>
+<tr class="memitem:a8a5c2112a40b530f20f86059a8a95497"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classmshadow_1_1Random_3_01cpu_01_4.html#a8a5c2112a40b530f20f86059a8a95497">SampleGaussian</a> (<a class="el" href="structmshadow_1_1Tensor.html">Tensor</a>< <a class="el" href="structmshadow_1_1cpu.html">cpu</a>, dim > &dst, <a class="el" href="namespacemshadow.html#a6b8da350a039195525801b23b3a2d942">real_t</a> mu=0.0f, real_t sigma=1.0f)</td></tr>
+<tr class="memdesc:a8a5c2112a40b530f20f86059a8a95497"><td class="mdescLeft"> </td><td class="mdescRight">generate data from standard gaussian <a href="#a8a5c2112a40b530f20f86059a8a95497">More...</a><br/></td></tr>
+<tr class="separator:a8a5c2112a40b530f20f86059a8a95497"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a02bda6de5df10888ebb1c7a4ce74752b"><td class="memTemplParams" colspan="2">template<int dim> </td></tr>
+<tr class="memitem:a02bda6de5df10888ebb1c7a4ce74752b"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="structmshadow_1_1expr_1_1ReshapeExp.html">expr::ReshapeExp</a>< <a class="el" href="structmshadow_1_1Tensor.html">Tensor</a>< <a class="el" href="structmshadow_1_1cpu.html">cpu</a>, 1 ><br class="typebreak"/>
+, dim, 1 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classmshadow_1_1Random_3_01cpu_01_4.html#a02bda6de5df10888ebb1c7a4ce74752b">gaussian</a> (<a class="el" href="structmshadow_1_1Shape.html">Shape</a>< dim > shape)</td></tr>
+<tr class="memdesc:a02bda6de5df10888ebb1c7a4ce74752b"><td class="mdescLeft"> </td><td class="mdescRight">return a temporal expression storing standard gaussian random variables the temporal tensor is only valid before next call of gaussian or uniform can be used as part of expression Caution: this means expression such as A = gaussian(s1) * gaussian(s2) will give invalid result, since second call of gaussian(s2) makes gaussian(s1) invalid A = gaussian(s1)*B+C; is correct; use one gaussian/uniform in each expression <a href="#a02bda6de5df10888ebb1c7a4ce74752b">More...</a><br/></td></tr>
+<tr class="separator:a02bda6de5df10888ebb1c7a4ce74752b"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:ac29cd89c4a4413aaaa76a0bb75ea7300"><td class="memTemplParams" colspan="2">template<int dim> </td></tr>
+<tr class="memitem:ac29cd89c4a4413aaaa76a0bb75ea7300"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="structmshadow_1_1expr_1_1ReshapeExp.html">expr::ReshapeExp</a>< <a class="el" href="structmshadow_1_1Tensor.html">Tensor</a>< <a class="el" href="structmshadow_1_1cpu.html">cpu</a>, 1 ><br class="typebreak"/>
+, dim, 1 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classmshadow_1_1Random_3_01cpu_01_4.html#ac29cd89c4a4413aaaa76a0bb75ea7300">uniform</a> (<a class="el" href="structmshadow_1_1Shape.html">Shape</a>< dim > shape)</td></tr>
+<tr class="memdesc:ac29cd89c4a4413aaaa76a0bb75ea7300"><td class="mdescLeft"> </td><td class="mdescRight">return a temporal expression storing standard uniform [0,1) the temporal tensor is only valid before next call of gaussian or uniform can be used as part of expression Caution: this means expression such as A = gaussian(s1) * gaussian(s2) will give invalid result, since second call of gaussian(s2) makes gaussian(s1) invalid A = gaussian(s1)*B+C; is correct; use one gaussian/uniform in each expression <a href="#ac29cd89c4a4413aaaa76a0bb75ea7300">More...</a><br/></td></tr>
+<tr class="separator:ac29cd89c4a4413aaaa76a0bb75ea7300"><td class="memSeparator" colspan="2"> </td></tr>
+</table>
+<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
+<div class="textblock"><h3>template<><br/>
+class mshadow::Random< cpu ></h3>
+
+<p>CPU random number generator. </p>
+</div><h2 class="groupheader">Constructor & Destructor Documentation</h2>
+<a class="anchor" id="ae204dc77cce8f5d0c2324b03ffb3123f"></a>
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+ <tr>
+ <td class="mlabels-left">
+ <table class="memname">
+ <tr>
+ <td class="memname"><a class="el" href="classmshadow_1_1Random.html">mshadow::Random</a>< <a class="el" href="structmshadow_1_1cpu.html">cpu</a> >::<a class="el" href="classmshadow_1_1Random.html">Random</a> </td>
+ <td>(</td>
+ <td class="paramtype">int </td>
+ <td class="paramname"><em>seed</em></td><td>)</td>
+ <td></td>
+ </tr>
+ </table>
+ </td>
+ <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">inline</span></span> </td>
+ </tr>
+</table>
+</div><div class="memdoc">
+
+<p>constructor of random engine </p>
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramname">seed</td><td>random number seed </td></tr>
+ </table>
+ </dd>
+</dl>
+
+</div>
+</div>
+<h2 class="groupheader">Member Function Documentation</h2>
+<a class="anchor" id="a02bda6de5df10888ebb1c7a4ce74752b"></a>
+<div class="memitem">
+<div class="memproto">
+<div class="memtemplate">
+template<int dim> </div>
+<table class="mlabels">
+ <tr>
+ <td class="mlabels-left">
+ <table class="memname">
+ <tr>
+ <td class="memname"><a class="el" href="structmshadow_1_1expr_1_1ReshapeExp.html">expr::ReshapeExp</a><<a class="el" href="structmshadow_1_1Tensor.html">Tensor</a><<a class="el" href="structmshadow_1_1cpu.html">cpu</a>,1>,dim,1> <a class="el" href="classmshadow_1_1Random.html">mshadow::Random</a>< <a class="el" href="structmshadow_1_1cpu.html">cpu</a> >::gaussian </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="structmshadow_1_1Shape.html">Shape</a>< dim > </td>
+ <td class="paramname"><em>shape</em></td><td>)</td>
+ <td></td>
+ </tr>
+ </table>
+ </td>
+ <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">inline</span></span> </td>
+ </tr>
+</table>
+</div><div class="memdoc">
+
+<p>return a temporal expression storing standard gaussian random variables the temporal tensor is only valid before next call of gaussian or uniform can be used as part of expression Caution: this means expression such as A = gaussian(s1) * gaussian(s2) will give invalid result, since second call of gaussian(s2) makes gaussian(s1) invalid A = gaussian(s1)*B+C; is correct; use one gaussian/uniform in each expression </p>
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramname">shape</td><td>shape of the tensor </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="tparams"><dt>Template Parameters</dt><dd>
+ <table class="tparams">
+ <tr><td class="paramname">dim</td><td>dimension of tensor </td></tr>
+ </table>
+ </dd>
+</dl>
+
+</div>
+</div>
+<a class="anchor" id="a8a5c2112a40b530f20f86059a8a95497"></a>
+<div class="memitem">
+<div class="memproto">
+<div class="memtemplate">
+template<int dim> </div>
+<table class="mlabels">
+ <tr>
+ <td class="mlabels-left">
+ <table class="memname">
+ <tr>
+ <td class="memname">void <a class="el" href="classmshadow_1_1Random.html">mshadow::Random</a>< <a class="el" href="structmshadow_1_1cpu.html">cpu</a> >::SampleGaussian </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="structmshadow_1_1Tensor.html">Tensor</a>< <a class="el" href="structmshadow_1_1cpu.html">cpu</a>, dim > & </td>
+ <td class="paramname"><em>dst</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype"><a class="el" href="namespacemshadow.html#a6b8da350a039195525801b23b3a2d942">real_t</a> </td>
+ <td class="paramname"><em>mu</em> = <code>0.0f</code>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype"><a class="el" href="namespacemshadow.html#a6b8da350a039195525801b23b3a2d942">real_t</a> </td>
+ <td class="paramname"><em>sigma</em> = <code>1.0f</code> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+ </td>
+ <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">inline</span></span> </td>
+ </tr>
+</table>
+</div><div class="memdoc">
+
+<p>generate data from standard gaussian </p>
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramname">dst</td><td>destination </td></tr>
+ <tr><td class="paramname">mu</td><td>mean variable </td></tr>
+ <tr><td class="paramname">sigma</td><td>standard deviation </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="tparams"><dt>Template Parameters</dt><dd>
+ <table class="tparams">
+ <tr><td class="paramname">dim</td><td>dimension of tensor </td></tr>
+ </table>
+ </dd>
+</dl>
+
+</div>
+</div>
+<a class="anchor" id="a620ced34b2332ce1ce7edb3efad520ba"></a>
+<div class="memitem">
+<div class="memproto">
+<div class="memtemplate">
+template<int dim> </div>
+<table class="mlabels">
+ <tr>
+ <td class="mlabels-left">
+ <table class="memname">
+ <tr>
+ <td class="memname">void <a class="el" href="classmshadow_1_1Random.html">mshadow::Random</a>< <a class="el" href="structmshadow_1_1cpu.html">cpu</a> >::SampleUniform </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="structmshadow_1_1Tensor.html">Tensor</a>< <a class="el" href="structmshadow_1_1cpu.html">cpu</a>, dim > & </td>
+ <td class="paramname"><em>dst</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype"><a class="el" href="namespacemshadow.html#a6b8da350a039195525801b23b3a2d942">real_t</a> </td>
+ <td class="paramname"><em>a</em> = <code>0.0f</code>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype"><a class="el" href="namespacemshadow.html#a6b8da350a039195525801b23b3a2d942">real_t</a> </td>
+ <td class="paramname"><em>b</em> = <code>1.0f</code> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+ </td>
+ <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">inline</span></span> </td>
+ </tr>
+</table>
+</div><div class="memdoc">
+
+<p>generate data from uniform [a,b) </p>
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramname">dst</td><td>destination </td></tr>
+ <tr><td class="paramname">a</td><td>lower bound of uniform </td></tr>
+ <tr><td class="paramname">b</td><td>upper bound of uniform </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="tparams"><dt>Template Parameters</dt><dd>
+ <table class="tparams">
+ <tr><td class="paramname">dim</td><td>dimension of tensor </td></tr>
+ </table>
+ </dd>
+</dl>
+
+</div>
+</div>
+<a class="anchor" id="a2c423bd57a74322830b241e99825c22b"></a>
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+ <tr>
+ <td class="mlabels-left">
+ <table class="memname">
+ <tr>
+ <td class="memname">void <a class="el" href="classmshadow_1_1Random.html">mshadow::Random</a>< <a class="el" href="structmshadow_1_1cpu.html">cpu</a> >::Seed </td>
+ <td>(</td>
+ <td class="paramtype">int </td>
+ <td class="paramname"><em>seed</em></td><td>)</td>
+ <td></td>
+ </tr>
+ </table>
+ </td>
+ <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">inline</span></span> </td>
+ </tr>
+</table>
+</div><div class="memdoc">
+
+<p>seed random number generator using this seed </p>
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramname">seed</td><td>seed of prng </td></tr>
+ </table>
+ </dd>
+</dl>
+
+</div>
+</div>
+<a class="anchor" id="ac29cd89c4a4413aaaa76a0bb75ea7300"></a>
+<div class="memitem">
+<div class="memproto">
+<div class="memtemplate">
+template<int dim> </div>
+<table class="mlabels">
+ <tr>
+ <td class="mlabels-left">
+ <table class="memname">
+ <tr>
+ <td class="memname"><a class="el" href="structmshadow_1_1expr_1_1ReshapeExp.html">expr::ReshapeExp</a><<a class="el" href="structmshadow_1_1Tensor.html">Tensor</a><<a class="el" href="structmshadow_1_1cpu.html">cpu</a>,1>,dim,1> <a class="el" href="classmshadow_1_1Random.html">mshadow::Random</a>< <a class="el" href="structmshadow_1_1cpu.html">cpu</a> >::uniform </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="structmshadow_1_1Shape.html">Shape</a>< dim > </td>
+ <td class="paramname"><em>shape</em></td><td>)</td>
+ <td></td>
+ </tr>
+ </table>
+ </td>
+ <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">inline</span></span> </td>
+ </tr>
+</table>
+</div><div class="memdoc">
+
+<p>return a temporal expression storing standard uniform [0,1) the temporal tensor is only valid before next call of gaussian or uniform can be used as part of expression Caution: this means expression such as A = gaussian(s1) * gaussian(s2) will give invalid result, since second call of gaussian(s2) makes gaussian(s1) invalid A = gaussian(s1)*B+C; is correct; use one gaussian/uniform in each expression </p>
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramname">shape</td><td>shape of the tensor </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="tparams"><dt>Template Parameters</dt><dd>
+ <table class="tparams">
+ <tr><td class="paramname">dim</td><td>dimension of tensor </td></tr>
+ </table>
+ </dd>
+</dl>
+
+</div>
+</div>
+<hr/>The documentation for this class was generated from the following file:<ul>
+<li>/home/wangwei/program/asf/incubator-singa/include/mshadow/<a class="el" href="tensor__random_8h_source.html">tensor_random.h</a></li>
+</ul>
+</div><!-- contents -->
+<!-- start footer part -->
+<hr class="footer"/><address class="footer"><small>
+Generated on Thu May 7 2015 17:15:38 for Apache SINGA by  <a href="http://www.doxygen.org/index.html">
+<img class="footer" src="doxygen.png" alt="doxygen"/>
+</a> 1.8.6
+</small></address>
+</body>
+</html>
http://git-wip-us.apache.org/repos/asf/incubator-singa/blob/666a841d/api/classmshadow_1_1TensorContainer-members.html
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diff --git a/api/classmshadow_1_1TensorContainer-members.html b/api/classmshadow_1_1TensorContainer-members.html
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+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
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+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr style="height: 56px;">
+ <td id="projectlogo"><img alt="Logo" src="singa-logo-small.png"/></td>
+ <td style="padding-left: 0.5em;">
+ <div id="projectname">Apache SINGA
+ </div>
+ <div id="projectbrief">A distributed deep learning platform .</div>
+ </td>
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+ </tbody>
+</table>
+</div>
+<!-- end header part -->
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+ <img id="MSearchSelect" src="search/mag_sel.png"
+ onmouseover="return searchBox.OnSearchSelectShow()"
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+ alt=""/>
+ <input type="text" id="MSearchField" value="Search" accesskey="S"
+ onfocus="searchBox.OnSearchFieldFocus(true)"
+ onblur="searchBox.OnSearchFieldFocus(false)"
+ onkeyup="searchBox.OnSearchFieldChange(event)"/>
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+ <a id="MSearchClose" href="javascript:searchBox.CloseResultsWindow()"><img id="MSearchCloseImg" border="0" src="search/close.png" alt=""/></a>
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+ <li><a href="annotated.html"><span>Class List</span></a></li>
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+<li class="navelem"><a class="el" href="namespacemshadow.html">mshadow</a></li><li class="navelem"><a class="el" href="classmshadow_1_1TensorContainer.html">TensorContainer</a></li> </ul>
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+<div class="title">mshadow::TensorContainer< Device, dimension > Member List</div> </div>
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+<div class="contents">
+
+<p>This is the complete list of members for <a class="el" href="classmshadow_1_1TensorContainer.html">mshadow::TensorContainer< Device, dimension ></a>, including all inherited members.</p>
+<table class="directory">
+ <tr class="even"><td class="entry"><a class="el" href="classmshadow_1_1expr_1_1ContainerExp.html#a53d478283da3417948e746accf1d8555">__assign</a>(real_t s)</td><td class="entry"><a class="el" href="classmshadow_1_1expr_1_1ContainerExp.html">mshadow::expr::ContainerExp< Tensor< Device, dimension > ></a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr><td class="entry"><a class="el" href="classmshadow_1_1expr_1_1ContainerExp.html#a7eec40f8e9b738edd1a0e0cbf9e014f6">__assign</a>(const Exp< E, type::kMapper > &exp)</td><td class="entry"><a class="el" href="classmshadow_1_1expr_1_1ContainerExp.html">mshadow::expr::ContainerExp< Tensor< Device, dimension > ></a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr class="even"><td class="entry"><a class="el" href="classmshadow_1_1expr_1_1ContainerExp.html#afdc7321b785a3e6de4194b01aa9c5cea">__assign</a>(const Exp< E, type::kComplex > &exp)</td><td class="entry"><a class="el" href="classmshadow_1_1expr_1_1ContainerExp.html">mshadow::expr::ContainerExp< Tensor< Device, dimension > ></a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr><td class="entry"><a class="el" href="structmshadow_1_1Tensor.html#a840ba21e8bf241129131bb5c0485af3a">dptr</a></td><td class="entry"><a class="el" href="structmshadow_1_1Tensor.html">mshadow::Tensor< Device, dimension ></a></td><td class="entry"></td></tr>
+ <tr class="even"><td class="entry"><a class="el" href="structmshadow_1_1Tensor.html#a870d85c5e46c364947355e9d292445c6">FlatTo2D</a>(void) const </td><td class="entry"><a class="el" href="structmshadow_1_1Tensor.html">mshadow::Tensor< Device, dimension ></a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr><td class="entry"><a class="el" href="structmshadow_1_1Tensor.html#a459cc12b940e03a8a69de4d50aa50000">kDevCPU</a></td><td class="entry"><a class="el" href="structmshadow_1_1Tensor.html">mshadow::Tensor< Device, dimension ></a></td><td class="entry"><span class="mlabel">static</span></td></tr>
+ <tr class="even"><td class="entry"><a class="el" href="structmshadow_1_1Tensor.html#a107c989c23feed70dbc8bad458afb997">kSubdim</a></td><td class="entry"><a class="el" href="structmshadow_1_1Tensor.html">mshadow::Tensor< Device, dimension ></a></td><td class="entry"><span class="mlabel">static</span></td></tr>
+ <tr><td class="entry"><a class="el" href="classmshadow_1_1TensorContainer.html#ae25ffd09c48839fc8ee4e543e6bdb7c9">LoadBinary</a>(TStream &fi)</td><td class="entry"><a class="el" href="classmshadow_1_1TensorContainer.html">mshadow::TensorContainer< Device, dimension ></a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr class="even"><td class="entry"><a class="el" href="classmshadow_1_1expr_1_1ContainerExp.html#a4ec36f15d3b4edc378e0a844279d655e">operator*=</a>(real_t s)</td><td class="entry"><a class="el" href="classmshadow_1_1expr_1_1ContainerExp.html">mshadow::expr::ContainerExp< Tensor< Device, dimension > ></a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr><td class="entry"><a class="el" href="classmshadow_1_1expr_1_1ContainerExp.html#a8343d4e5a52b14087d21189c8ba35a24">operator*=</a>(const Exp< E, etype > &exp)</td><td class="entry"><a class="el" href="classmshadow_1_1expr_1_1ContainerExp.html">mshadow::expr::ContainerExp< Tensor< Device, dimension > ></a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr class="even"><td class="entry"><a class="el" href="classmshadow_1_1expr_1_1ContainerExp.html#ad7d2c08f20025070f26be3bed805c663">operator+=</a>(real_t s)</td><td class="entry"><a class="el" href="classmshadow_1_1expr_1_1ContainerExp.html">mshadow::expr::ContainerExp< Tensor< Device, dimension > ></a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr><td class="entry"><a class="el" href="classmshadow_1_1expr_1_1ContainerExp.html#a040bcc96db9b3be9e105d885ba953d29">operator+=</a>(const Exp< E, etype > &exp)</td><td class="entry"><a class="el" href="classmshadow_1_1expr_1_1ContainerExp.html">mshadow::expr::ContainerExp< Tensor< Device, dimension > ></a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr class="even"><td class="entry"><a class="el" href="classmshadow_1_1expr_1_1ContainerExp.html#a14bc7b305bf599ffaf026bbd9cb801fa">operator-=</a>(real_t s)</td><td class="entry"><a class="el" href="classmshadow_1_1expr_1_1ContainerExp.html">mshadow::expr::ContainerExp< Tensor< Device, dimension > ></a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr><td class="entry"><a class="el" href="classmshadow_1_1expr_1_1ContainerExp.html#ad473a71ec6e568841238c2c425db8dee">operator-=</a>(const Exp< E, etype > &exp)</td><td class="entry"><a class="el" href="classmshadow_1_1expr_1_1ContainerExp.html">mshadow::expr::ContainerExp< Tensor< Device, dimension > ></a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr class="even"><td class="entry"><a class="el" href="classmshadow_1_1expr_1_1ContainerExp.html#a86b9bc074af6129dff6cb16ae0d9d592">operator/=</a>(real_t s)</td><td class="entry"><a class="el" href="classmshadow_1_1expr_1_1ContainerExp.html">mshadow::expr::ContainerExp< Tensor< Device, dimension > ></a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr><td class="entry"><a class="el" href="classmshadow_1_1expr_1_1ContainerExp.html#a025569b463343ed328506bd810ab0d1c">operator/=</a>(const Exp< E, etype > &exp)</td><td class="entry"><a class="el" href="classmshadow_1_1expr_1_1ContainerExp.html">mshadow::expr::ContainerExp< Tensor< Device, dimension > ></a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>operator=</b>(real_t s) (defined in <a class="el" href="classmshadow_1_1TensorContainer.html">mshadow::TensorContainer< Device, dimension ></a>)</td><td class="entry"><a class="el" href="classmshadow_1_1TensorContainer.html">mshadow::TensorContainer< Device, dimension ></a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr bgcolor="#f0f0f0"><td class="entry"><b>operator=</b>(const expr::Exp< E, expr::type::kMapper > &exp) (defined in <a class="el" href="classmshadow_1_1TensorContainer.html">mshadow::TensorContainer< Device, dimension ></a>)</td><td class="entry"><a class="el" href="classmshadow_1_1TensorContainer.html">mshadow::TensorContainer< Device, dimension ></a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr bgcolor="#f0f0f0" class="even"><td class="entry"><b>operator=</b>(const expr::Exp< E, expr::type::kComplex > &exp) (defined in <a class="el" href="classmshadow_1_1TensorContainer.html">mshadow::TensorContainer< Device, dimension ></a>)</td><td class="entry"><a class="el" href="classmshadow_1_1TensorContainer.html">mshadow::TensorContainer< Device, dimension ></a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr><td class="entry"><a class="el" href="structmshadow_1_1Tensor.html#a47376c7fe0a51811c283391fcc6da01a">operator[]</a>(index_t idx) const </td><td class="entry"><a class="el" href="structmshadow_1_1Tensor.html">mshadow::Tensor< Device, dimension ></a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr class="even"><td class="entry"><a class="el" href="structmshadow_1_1expr_1_1Exp.html#a0d71c1687e44ddc89b7f20f7de6a1ed0">refself</a>(void)</td><td class="entry"><a class="el" href="structmshadow_1_1expr_1_1Exp.html">mshadow::expr::Exp< Tensor< Device, dimension >, type::kContainer ></a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr><td class="entry"><a class="el" href="classmshadow_1_1TensorContainer.html#aa3bfb6e4930738dcbe0613dc6946250f">Resize</a>(const Shape< dimension > &shape)</td><td class="entry"><a class="el" href="classmshadow_1_1TensorContainer.html">mshadow::TensorContainer< Device, dimension ></a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr class="even"><td class="entry"><a class="el" href="classmshadow_1_1TensorContainer.html#a2d25a8ba514bbad3ec9f5752689019ed">Resize</a>(const Shape< dimension > &shape, real_t initv)</td><td class="entry"><a class="el" href="classmshadow_1_1TensorContainer.html">mshadow::TensorContainer< Device, dimension ></a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr><td class="entry"><a class="el" href="classmshadow_1_1TensorContainer.html#a8c05e3aa4c2f1a91e11edb445b7e735c">SaveBinary</a>(TStream &fo) const </td><td class="entry"><a class="el" href="classmshadow_1_1TensorContainer.html">mshadow::TensorContainer< Device, dimension ></a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr class="even"><td class="entry"><a class="el" href="structmshadow_1_1expr_1_1Exp.html#ae27ea4b1b18941a009902765c281addb">self</a>(void) const</td><td class="entry"><a class="el" href="structmshadow_1_1expr_1_1Exp.html">mshadow::expr::Exp< Tensor< Device, dimension >, type::kContainer ></a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr><td class="entry"><a class="el" href="classmshadow_1_1TensorContainer.html#a1ee87817af96fcf5ab2be9641b9e27d4">set_pad</a>(bool pad)</td><td class="entry"><a class="el" href="classmshadow_1_1TensorContainer.html">mshadow::TensorContainer< Device, dimension ></a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr class="even"><td class="entry"><a class="el" href="structmshadow_1_1Tensor.html#ab59c7017903020550cd78432b9b2b958">shape</a></td><td class="entry"><a class="el" href="structmshadow_1_1Tensor.html">mshadow::Tensor< Device, dimension ></a></td><td class="entry"></td></tr>
+ <tr><td class="entry"><a class="el" href="structmshadow_1_1Tensor.html#a1a214801ac6228af5cedaad3fc5aedce">Slice</a>(index_t begin, index_t end) const </td><td class="entry"><a class="el" href="structmshadow_1_1Tensor.html">mshadow::Tensor< Device, dimension ></a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr class="even"><td class="entry"><a class="el" href="classmshadow_1_1expr_1_1ContainerExp.html#ac2d93b25bdef03c232b2fb9556fecd25">T</a>(void) const</td><td class="entry"><a class="el" href="classmshadow_1_1expr_1_1ContainerExp.html">mshadow::expr::ContainerExp< Tensor< Device, dimension > ></a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr><td class="entry"><a class="el" href="structmshadow_1_1Tensor.html#a844ed0041a63ccf071966a0821db0d70">Tensor</a>(void)</td><td class="entry"><a class="el" href="structmshadow_1_1Tensor.html">mshadow::Tensor< Device, dimension ></a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr class="even"><td class="entry"><a class="el" href="structmshadow_1_1Tensor.html#aa3043be4b978df444929fd37820b7b25">Tensor</a>(const Shape< dimension > &shape)</td><td class="entry"><a class="el" href="structmshadow_1_1Tensor.html">mshadow::Tensor< Device, dimension ></a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr><td class="entry"><a class="el" href="structmshadow_1_1Tensor.html#a7ac79280829ec3a6f1aad4fd6044fe82">Tensor</a>(real_t *dptr, const Shape< dimension > &shape)</td><td class="entry"><a class="el" href="structmshadow_1_1Tensor.html">mshadow::Tensor< Device, dimension ></a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr class="even"><td class="entry"><a class="el" href="classmshadow_1_1TensorContainer.html#a4a7db08cd85aa4b66695f0fcda6204b8">TensorContainer</a>(bool pad=MSHADOW_ALLOC_PAD)</td><td class="entry"><a class="el" href="classmshadow_1_1TensorContainer.html">mshadow::TensorContainer< Device, dimension ></a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr><td class="entry"><a class="el" href="classmshadow_1_1TensorContainer.html#aeec4feeefba6821209cea5be1eeef72b">TensorContainer</a>(const Shape< dimension > &shape)</td><td class="entry"><a class="el" href="classmshadow_1_1TensorContainer.html">mshadow::TensorContainer< Device, dimension ></a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr class="even"><td class="entry"><a class="el" href="classmshadow_1_1TensorContainer.html#a374c03b1085998f41aecda021af43220">TensorContainer</a>(const Shape< dimension > &shape, real_t initv)</td><td class="entry"><a class="el" href="classmshadow_1_1TensorContainer.html">mshadow::TensorContainer< Device, dimension ></a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
+ <tr bgcolor="#f0f0f0"><td class="entry"><b>~TensorContainer</b>(void) (defined in <a class="el" href="classmshadow_1_1TensorContainer.html">mshadow::TensorContainer< Device, dimension ></a>)</td><td class="entry"><a class="el" href="classmshadow_1_1TensorContainer.html">mshadow::TensorContainer< Device, dimension ></a></td><td class="entry"><span class="mlabel">inline</span></td></tr>
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