documentation/validation_2reference_2_softmax_layer_8cpp_source.xhtml

   1 <!-- HTML header for doxygen 1.8.9.1-->
   2 <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
   3 <html xmlns="http://www.w3.org/1999/xhtml">
   4 <head>
   5 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
   6 <meta http-equiv="X-UA-Compatible" content="IE=9"/>
   7 <meta name="generator" content="Doxygen 1.8.11"/>
   8 <meta name="robots" content="NOINDEX, NOFOLLOW" /> <!-- Prevent indexing by search engines -->
   9 <title>Compute Library: tests/validation/reference/SoftmaxLayer.cpp Source File</title>
  10 <link href="tabs.css" rel="stylesheet" type="text/css"/>
  11 <script type="text/javascript" src="jquery.js"></script>
  12 <script type="text/javascript" src="dynsections.js"></script>
  13 <link href="navtree.css" rel="stylesheet" type="text/css"/>
  14 <script type="text/javascript" src="resize.js"></script>
  15 <script type="text/javascript" src="navtreedata.js"></script>
  16 <script type="text/javascript" src="navtree.js"></script>
  17 <script type="text/javascript">
  18   $(document).ready(initResizable);
  19   $(window).load(resizeHeight);
  20 </script>
  21 <link href="search/search.css" rel="stylesheet" type="text/css"/>
  22 <script type="text/javascript" src="search/searchdata.js"></script>
  23 <script type="text/javascript" src="search/search.js"></script>
  24 <script type="text/javascript">
  25   $(document).ready(function() { init_search(); });
  26 </script>
  27 <script type="text/x-mathjax-config">
  28   MathJax.Hub.Config({
  29     extensions: ["tex2jax.js"],
  30     jax: ["input/TeX","output/HTML-CSS"],
  31 });
  32 </script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script>
  33 <link href="doxygen.css" rel="stylesheet" type="text/css" />
  34 </head>
  35 <body>
  36 <div id="top"><!-- do not remove this div, it is closed by doxygen! -->
  37 <div id="titlearea">
  38 <table cellspacing="0" cellpadding="0">
  39  <tbody>
  40  <tr style="height: 56px;">
  41   <td style="padding-left: 0.5em;">
  42    <div id="projectname">Compute Library
  43    &#160;<span id="projectnumber">18.02</span>
  44    </div>
  45   </td>
  46  </tr>
  47  </tbody>
  48 </table>
  49 </div>
  50 <!-- end header part -->
  51 <!-- Generated by Doxygen 1.8.11 -->
  52 <script type="text/javascript">
  53 var searchBox = new SearchBox("searchBox", "search",false,'Search');
  54 </script>
  55   <div id="navrow1" class="tabs">
  56     <ul class="tablist">
  57       <li><a href="index.xhtml"><span>Main&#160;Page</span></a></li>
  58       <li><a href="pages.xhtml"><span>Related&#160;Pages</span></a></li>
  59       <li><a href="namespaces.xhtml"><span>Namespaces</span></a></li>
  60       <li><a href="annotated.xhtml"><span>Data&#160;Structures</span></a></li>
  61       <li class="current"><a href="files.xhtml"><span>Files</span></a></li>
  62       <li>
  63         <div id="MSearchBox" class="MSearchBoxInactive">
  64         <span class="left">
  65           <img id="MSearchSelect" src="search/mag_sel.png"
  66                onmouseover="return searchBox.OnSearchSelectShow()"
  67                onmouseout="return searchBox.OnSearchSelectHide()"
  68                alt=""/>
  69           <input type="text" id="MSearchField" value="Search" accesskey="S"
  70                onfocus="searchBox.OnSearchFieldFocus(true)"
  71                onblur="searchBox.OnSearchFieldFocus(false)"
  72                onkeyup="searchBox.OnSearchFieldChange(event)"/>
  73           </span><span class="right">
  74             <a id="MSearchClose" href="javascript:searchBox.CloseResultsWindow()"><img id="MSearchCloseImg" border="0" src="search/close.png" alt=""/></a>
  75           </span>
  76         </div>
  77       </li>
  78     </ul>
  79   </div>
  80   <div id="navrow2" class="tabs2">
  81     <ul class="tablist">
  82       <li><a href="files.xhtml"><span>File&#160;List</span></a></li>
  83       <li><a href="globals.xhtml"><span>Globals</span></a></li>
  84     </ul>
  85   </div>
  86 </div><!-- top -->
  87 <div id="side-nav" class="ui-resizable side-nav-resizable">
  88   <div id="nav-tree">
  89     <div id="nav-tree-contents">
  90       <div id="nav-sync" class="sync"></div>
  91     </div>
  92   </div>
  93   <div id="splitbar" style="-moz-user-select:none;"
  94        class="ui-resizable-handle">
  95   </div>
  96 </div>
  97 <script type="text/javascript">
  98 $(document).ready(function(){initNavTree('validation_2reference_2_softmax_layer_8cpp_source.xhtml','');});
  99 </script>
 100 <div id="doc-content">
 101 <!-- window showing the filter options -->
 102 <div id="MSearchSelectWindow"
 103      onmouseover="return searchBox.OnSearchSelectShow()"
 104      onmouseout="return searchBox.OnSearchSelectHide()"
 105      onkeydown="return searchBox.OnSearchSelectKey(event)">
 106 </div>
 107
 108 <!-- iframe showing the search results (closed by default) -->
 109 <div id="MSearchResultsWindow">
 110 <iframe src="javascript:void(0)" frameborder="0"
 111         name="MSearchResults" id="MSearchResults">
 112 </iframe>
 113 </div>
 114
 115 <div class="header">
 116   <div class="headertitle">
 117 <div class="title">SoftmaxLayer.cpp</div>  </div>
 118 </div><!--header-->
 119 <div class="contents">
 120 <a href="validation_2reference_2_softmax_layer_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) 2017 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="tests_2validation_2reference_2_softmax_layer_8h.xhtml">SoftmaxLayer.h</a>&quot;</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;</div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="arm__compute_2core_2_types_8h.xhtml">arm_compute/core/Types.h</a>&quot;</span></div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="tests_2validation_2_fixed_point_8h.xhtml">tests/validation/FixedPoint.h</a>&quot;</span></div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;</div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;{</div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;<span class="keyword">namespace </span>test</div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;{</div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;<span class="keyword">namespace </span>validation</div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;{</div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;<span class="keyword">namespace </span>reference</div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;{</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;<a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">template &lt;typename T, typename std::enable_if&lt;is_floating_point&lt;T&gt;::value</a>, <span class="keywordtype">int</span>&gt;<a class="code" href="namespacecaffe__data__extractor.xhtml#a7aead736a07eaf25623ad7bfa1f0ee2d">::type</a>&gt;</div><div class="line"><a name="l00038"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aba4029949774b83ce30bfea5aaa34e93">   38</a></span>&#160;<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aba4029949774b83ce30bfea5aaa34e93">softmax_layer</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>, <span class="keywordtype">float</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab146b9cbab6e73e7588b240dc709fe01">beta</a>)</div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;{</div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;    <span class="comment">// Create reference</span></div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>{ src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>(), src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a9a3e72153aeb3ed212e9c3698774e881">data_type</a>(), 1, src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a>() };</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;    <span class="comment">// Compute reference</span></div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> cols       = src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[0];</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> upper_dims = src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">num_elements</a>() / cols;</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;    <span class="keywordflow">for</span>(<span class="keywordtype">int</span> r = 0; r &lt; upper_dims; ++r)</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;    {</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;        <span class="keyword">const</span> T *src_row_ptr = src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a0c52a8f0085b55d907af7210ef2069d0">data</a>() + r * cols;</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;        T       *dst_row_ptr = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.data() + r * cols;</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;        <span class="comment">// Find max</span></div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;        <span class="keyword">const</span> T <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">max</a> = *std::max_element(src_row_ptr, src_row_ptr + cols);</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;        <span class="comment">// Regularize</span></div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;        T <a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a>(0.f);</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;        std::transform(src_row_ptr, src_row_ptr + cols, dst_row_ptr, [&amp;sum, max, beta](T val)</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;        {</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;            <span class="keyword">const</span> T res(<a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aa4e01e9be9adcc40a69a4da48fa83a43">std::exp</a>((val - max) * beta));</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;            sum += res;</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;            <span class="keywordflow">return</span> res;</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;        });</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;        <span class="comment">// Normalize</span></div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;        std::transform(dst_row_ptr, dst_row_ptr + cols, dst_row_ptr, [sum](T val)</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;        {</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;            <span class="keywordflow">return</span> val / <a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a>;</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;        });</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;    }</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>;</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;}</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;<a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">template &lt;typename T, typename std::enable_if&lt;std::is_integral&lt;T&gt;::value</a>, <span class="keywordtype">int</span>&gt;<a class="code" href="namespacecaffe__data__extractor.xhtml#a7aead736a07eaf25623ad7bfa1f0ee2d">::type</a>&gt;</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aba4029949774b83ce30bfea5aaa34e93">softmax_layer</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>, <span class="keywordtype">float</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab146b9cbab6e73e7588b240dc709fe01">beta</a>)</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;{</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;    <a class="code" href="core_2_error_8h.xhtml#a4103adbb45806b2f2002d44b91d0d206">ARM_COMPUTE_UNUSED</a>(beta);</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;    <span class="keyword">using namespace </span>fixed_point_arithmetic;</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;    <span class="comment">// Create reference</span></div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>{ src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>(), src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a9a3e72153aeb3ed212e9c3698774e881">data_type</a>(), 1, src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a>() };</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;    <span class="comment">// Compute reference</span></div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> cols       = src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[0];</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> upper_dims = src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">num_elements</a>() / cols;</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;    <span class="keywordflow">for</span>(<span class="keywordtype">int</span> r = 0; r &lt; upper_dims; ++r)</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;    {</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;        <span class="keyword">const</span> T *src_row_ptr = src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a0c52a8f0085b55d907af7210ef2069d0">data</a>() + r * cols;</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;        T       *dst_row_ptr = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.data() + r * cols;</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;        <span class="comment">// Find max</span></div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;        <span class="keyword">const</span> fixed_point&lt;T&gt; <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">max</a>(*std::max_element(src_row_ptr, src_row_ptr + cols), src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a>(), <span class="keyword">true</span>);</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;        <span class="comment">// Regularize</span></div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;        <span class="keyword">using</span> promoted_type = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1traits.xhtml#ac20ca549fa27b2eed44367745055a233">fixed_point_arithmetic::traits::promote_t&lt;T&gt;</a>;</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;        fixed_point&lt;promoted_type&gt; <a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a>(0, src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a>(), <span class="keyword">true</span>);</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;        std::transform(src_row_ptr, src_row_ptr + cols, dst_row_ptr, [&amp;](T val)</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;        {</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;            <span class="keyword">const</span> fixed_point&lt;T&gt; res = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aa4e01e9be9adcc40a69a4da48fa83a43">exp</a>(fixed_point&lt;T&gt;(val, src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a>(), <span class="keyword">true</span>) - <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">max</a>);</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;            <a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a>                      = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#a9d91c0affa9bc1921abc949791c514c0">add</a>(<a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a>, fixed_point&lt;promoted_type&gt;(res.raw(), src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a>(), <span class="keyword">true</span>));</div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;            <span class="keywordflow">return</span> res.raw();</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;        });</div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;</div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;        <span class="comment">// Normalize</span></div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;        fixed_point&lt;T&gt; saturated_sum(<a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a>);</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;        std::transform(dst_row_ptr, dst_row_ptr + cols, dst_row_ptr, [&amp;](T val)</div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;        {</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;            <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#a9d53af9692ab2f7ae6fc0017faeb46f0">div</a>(fixed_point&lt;T&gt;(val, src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a>(), <span class="keyword">true</span>), saturated_sum).raw();</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;        });</div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;    }</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;</div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>;</div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;}</div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;<span class="keyword">template</span> &lt;&gt;</div><div class="line"><a name="l00118"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ade02bbb223c02aefecc6768105625668">  118</a></span>&#160;<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;uint8_t&gt;</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ade02bbb223c02aefecc6768105625668">softmax_layer&lt;uint8_t&gt;</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;uint8_t&gt;</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>, <span class="keywordtype">float</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab146b9cbab6e73e7588b240dc709fe01">beta</a>)</div><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;{</div><div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;    <span class="comment">// Note: Output quantization info should always have scale = 1/256 and offset = 0</span></div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;    <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> output_quantization_info = <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(1.f / 256, 0);</div><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;</div><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;float&gt;</a>   src_tmp = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab24849be91cfb00a72f7a61a7e00fdb7">convert_from_asymmetric</a>(src);</div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;float&gt;</a>   dst_tmp = softmax_layer&lt;float&gt;(src_tmp, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab146b9cbab6e73e7588b240dc709fe01">beta</a>);</div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;uint8_t&gt;</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>     = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a291a16e64b05bdf4d08e1240d5bb286a">convert_to_asymmetric</a>(dst_tmp, output_quantization_info);</div><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>;</div><div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;}</div><div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;</div><div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;<span class="keyword">template</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;float&gt;</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aba4029949774b83ce30bfea5aaa34e93">softmax_layer</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;float&gt;</a> &amp;src, <span class="keywordtype">float</span> beta);</div><div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;<span class="keyword">template</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;half&gt;</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aba4029949774b83ce30bfea5aaa34e93">softmax_layer</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;half&gt;</a> &amp;src, <span class="keywordtype">float</span> beta);</div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;<span class="keyword">template</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;qint8_t&gt;</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aba4029949774b83ce30bfea5aaa34e93">softmax_layer</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;qint8_t&gt;</a> &amp;src, <span class="keywordtype">float</span> beta);</div><div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;<span class="keyword">template</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;qint16_t&gt;</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aba4029949774b83ce30bfea5aaa34e93">softmax_layer</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;qint16_t&gt;</a> &amp;src, <span class="keywordtype">float</span> beta);</div><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;} <span class="comment">// namespace reference</span></div><div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;} <span class="comment">// namespace validation</span></div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;} <span class="comment">// namespace test</span></div><div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;} <span class="comment">// namespace arm_compute</span></div><div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ab146b9cbab6e73e7588b240dc709fe01"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ab146b9cbab6e73e7588b240dc709fe01">arm_compute::test::validation::beta</a></div><div class="ttdeci">beta</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_g_e_m_m_8cpp_source.xhtml#l00113">GEMM.cpp:113</a></div></div>
 121 <div class="ttc" id="tests_2validation_2reference_2_softmax_layer_8h_xhtml"><div class="ttname"><a href="tests_2validation_2reference_2_softmax_layer_8h.xhtml">SoftmaxLayer.h</a></div></div>
 122 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_ade02bbb223c02aefecc6768105625668"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ade02bbb223c02aefecc6768105625668">arm_compute::test::validation::reference::softmax_layer&lt; uint8_t &gt;</a></div><div class="ttdeci">SimpleTensor&lt; uint8_t &gt; softmax_layer&lt; uint8_t &gt;(const SimpleTensor&lt; uint8_t &gt; &amp;src, float beta)</div><div class="ttdef"><b>Definition:</b> <a href="validation_2reference_2_softmax_layer_8cpp_source.xhtml#l00118">SoftmaxLayer.cpp:118</a></div></div>
 123 <div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_aa4e01e9be9adcc40a69a4da48fa83a43"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aa4e01e9be9adcc40a69a4da48fa83a43">arm_compute::test::fixed_point_arithmetic::detail::exp</a></div><div class="ttdeci">fixed_point&lt; T &gt; exp(fixed_point&lt; T &gt; x)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00924">FixedPoint.h:924</a></div></div>
 124 <div class="ttc" id="reduction__operation_8cl_xhtml_ab0df00f5333da51860deb93deb44a782"><div class="ttname"><a href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a></div><div class="ttdeci">DATA_TYPE sum(__global const DATA_TYPE *input)</div><div class="ttdoc">Calculate sum of a vector. </div><div class="ttdef"><b>Definition:</b> <a href="reduction__operation_8cl_source.xhtml#l00052">reduction_operation.cl:52</a></div></div>
 125 <div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1traits_xhtml_ac20ca549fa27b2eed44367745055a233"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1traits.xhtml#ac20ca549fa27b2eed44367745055a233">arm_compute::test::fixed_point_arithmetic::traits::promote_t</a></div><div class="ttdeci">typename promote&lt; T &gt;::type promote_t</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00067">FixedPoint.h:67</a></div></div>
 126 <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_a9a3e72153aeb3ed212e9c3698774e881"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a9a3e72153aeb3ed212e9c3698774e881">arm_compute::test::SimpleTensor::data_type</a></div><div class="ttdeci">DataType data_type() const override</div><div class="ttdoc">Data type of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00282">SimpleTensor.h:282</a></div></div>
 127 <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_aba5871b3e4a65d057ec1c28fce8b00ba"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">arm_compute::test::SimpleTensor::shape</a></div><div class="ttdeci">TensorShape shape() const override</div><div class="ttdoc">Shape of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00245">SimpleTensor.h:245</a></div></div>
 128 <div class="ttc" id="tests_2validation_2_fixed_point_8h_xhtml"><div class="ttname"><a href="tests_2validation_2_fixed_point_8h.xhtml">FixedPoint.h</a></div></div>
 129 <div class="ttc" id="core_2_error_8h_xhtml_a4103adbb45806b2f2002d44b91d0d206"><div class="ttname"><a href="core_2_error_8h.xhtml#a4103adbb45806b2f2002d44b91d0d206">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(var)</div><div class="ttdoc">To avoid unused variables warnings. </div><div class="ttdef"><b>Definition:</b> <a href="core_2_error_8h_source.xhtml#l00147">Error.h:147</a></div></div>
 130 <div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">This file contains all available output stages for GEMMLowp on OpenCL. </div><div class="ttdef"><b>Definition:</b> <a href="01__library_8dox_source.xhtml#l00001">01_library.dox:1</a></div></div>
 131 <div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_a9d91c0affa9bc1921abc949791c514c0"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#a9d91c0affa9bc1921abc949791c514c0">arm_compute::test::fixed_point_arithmetic::detail::add</a></div><div class="ttdeci">fixed_point&lt; T &gt; add(fixed_point&lt; T &gt; x, fixed_point&lt; T &gt; y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00894">FixedPoint.h:894</a></div></div>
 132 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a291a16e64b05bdf4d08e1240d5bb286a"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a291a16e64b05bdf4d08e1240d5bb286a">arm_compute::test::validation::convert_to_asymmetric</a></div><div class="ttdeci">SimpleTensor&lt; uint8_t &gt; convert_to_asymmetric(const SimpleTensor&lt; float &gt; &amp;src, const QuantizationInfo &amp;quantization_info)</div><div class="ttdoc">Convert float simple tensor into quantized using specified quantization information. </div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8cpp_source.xhtml#l00127">Helpers.cpp:127</a></div></div>
 133 <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_a0c52a8f0085b55d907af7210ef2069d0"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a0c52a8f0085b55d907af7210ef2069d0">arm_compute::test::SimpleTensor::data</a></div><div class="ttdeci">const T * data() const </div><div class="ttdoc">Constant pointer to the underlying buffer. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00343">SimpleTensor.h:343</a></div></div>
 134 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_adbf67dcee294e673cf796f1ed8aeb6a4"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">arm_compute::test::validation::dst</a></div><div class="ttdeci">CLTensor dst</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00137">Convolution.cpp:137</a></div></div>
 135 <div class="ttc" id="hwc_8hpp_xhtml_a0f61d63b009d0880a89c843bd50d8d76"><div class="ttname"><a href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a></div><div class="ttdeci">void * value</div><div class="ttdef"><b>Definition:</b> <a href="hwc_8hpp_source.xhtml#l00278">hwc.hpp:278</a></div></div>
 136 <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">arm_compute::test::SimpleTensor</a></div><div class="ttdoc">Simple tensor object that stores elements in a consecutive chunk of memory. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00059">SimpleTensor.h:59</a></div></div>
 137 <div class="ttc" id="namespacecaffe__data__extractor_xhtml_a7aead736a07eaf25623ad7bfa1f0ee2d"><div class="ttname"><a href="namespacecaffe__data__extractor.xhtml#a7aead736a07eaf25623ad7bfa1f0ee2d">caffe_data_extractor.type</a></div><div class="ttdeci">type</div><div class="ttdef"><b>Definition:</b> <a href="caffe__data__extractor_8py_source.xhtml#l00019">caffe_data_extractor.py:19</a></div></div>
 138 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ab24849be91cfb00a72f7a61a7e00fdb7"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ab24849be91cfb00a72f7a61a7e00fdb7">arm_compute::test::validation::convert_from_asymmetric</a></div><div class="ttdeci">SimpleTensor&lt; float &gt; convert_from_asymmetric(const SimpleTensor&lt; uint8_t &gt; &amp;src)</div><div class="ttdoc">Convert quantized simple tensor into float using tensor quantization information. ...</div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8cpp_source.xhtml#l00116">Helpers.cpp:116</a></div></div>
 139 <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_aedcfdd4c3b92fe0d63b5463c7ad1d21e"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">arm_compute::test::SimpleTensor::num_elements</a></div><div class="ttdeci">int num_elements() const override</div><div class="ttdoc">Number of elements of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00331">SimpleTensor.h:331</a></div></div>
 140 <div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_a9d53af9692ab2f7ae6fc0017faeb46f0"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#a9d53af9692ab2f7ae6fc0017faeb46f0">arm_compute::test::fixed_point_arithmetic::detail::div</a></div><div class="ttdeci">fixed_point&lt; T &gt; div(fixed_point&lt; T &gt; x, fixed_point&lt; T &gt; y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00909">FixedPoint.h:909</a></div></div>
 141 <div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_ad91bb73431b4de1f4946ed949d444849"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">arm_compute::test::fixed_point_arithmetic::detail::max</a></div><div class="ttdeci">fixed_point&lt; T &gt; max(fixed_point&lt; T &gt; x, fixed_point&lt; T &gt; y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00889">FixedPoint.h:889</a></div></div>
 142 <div class="ttc" id="structarm__compute_1_1_quantization_info_xhtml"><div class="ttname"><a href="structarm__compute_1_1_quantization_info.xhtml">arm_compute::QuantizationInfo</a></div><div class="ttdoc">Quantization settings (used for QASYMM8 data type) </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00117">Types.h:117</a></div></div>
 143 <div class="ttc" id="arm__compute_2core_2_types_8h_xhtml"><div class="ttname"><a href="arm__compute_2core_2_types_8h.xhtml">Types.h</a></div></div>
 144 <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_a35ccf2eb0c18a15feab2db98b307b78b"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">arm_compute::test::SimpleTensor::fixed_point_position</a></div><div class="ttdeci">int fixed_point_position() const override</div><div class="ttdoc">The number of bits for the fractional part of the fixed point numbers. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00257">SimpleTensor.h:257</a></div></div>
 145 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a6743f0a130e8311e6f5b1a23df102472"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">arm_compute::test::validation::src</a></div><div class="ttdeci">convolution configure &amp; src</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00147">Convolution.cpp:147</a></div></div>
 146 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_aba4029949774b83ce30bfea5aaa34e93"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aba4029949774b83ce30bfea5aaa34e93">arm_compute::test::validation::reference::softmax_layer</a></div><div class="ttdeci">SimpleTensor&lt; T &gt; softmax_layer(const SimpleTensor&lt; T &gt; &amp;src, float beta)</div><div class="ttdef"><b>Definition:</b> <a href="validation_2reference_2_softmax_layer_8cpp_source.xhtml#l00038">SoftmaxLayer.cpp:38</a></div></div>
 147 </div><!-- fragment --></div><!-- contents -->
 148 </div><!-- doc-content -->
 149 <!-- start footer part -->
 150 <div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
 151   <ul>
 152     <li class="navelem"><a class="el" href="dir_59425e443f801f1f2fd8bbe4959a3ccf.xhtml">tests</a></li><li class="navelem"><a class="el" href="dir_e7c7b16542faa38cb4655ff1750d3604.xhtml">validation</a></li><li class="navelem"><a class="el" href="dir_46fdb196cebdbffe77dac340cde62f29.xhtml">reference</a></li><li class="navelem"><a class="el" href="validation_2reference_2_softmax_layer_8cpp.xhtml">SoftmaxLayer.cpp</a></li>
 153     <li class="footer">Generated on Thu Feb 22 2018 15:45:20 for Compute Library by
 154     <a href="http://www.doxygen.org/index.html">
 155     <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
 156   </ul>
 157 </div>
 158 </body>
 159 </html>