documentation/validation_2reference_2_g_e_m_m_lowp_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/GEMMLowp.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">18.03</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_g_e_m_m_lowp_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">GEMMLowp.cpp</div>  </div>
 118 </div><!--header-->
 119 <div class="contents">
 120 <a href="validation_2reference_2_g_e_m_m_lowp_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="_g_e_m_m_lowp_8h.xhtml">GEMMLowp.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="_utils_quantized_asymm_8h.xhtml">tests/validation/reference/UtilsQuantizedAsymm.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="preprocessor">#include &lt;limits&gt;</span></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><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></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>test</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>validation</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;<span class="keyword">namespace </span>reference</div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;{</div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;<span class="keyword">namespace</span></div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;{</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;<span class="keywordtype">void</span> quantize_down_int32_to_uint8_scale(<span class="keyword">const</span> SimpleTensor&lt;T&gt; *in, <span class="keyword">const</span> SimpleTensor&lt;T&gt; *bias, SimpleTensor&lt;uint8_t&gt; *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>, int32_t result_offset, int32_t result_mult_int, int32_t result_shift,</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;                                        int32_t <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">min</a>, int32_t <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">max</a>)</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;{</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> cols_in = in-&gt;shape().x();</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> i = 0; i &lt; in-&gt;num_elements(); ++i)</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;        int32_t result = ((*in)[i] + result_offset);</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;        <span class="keywordflow">if</span>(bias != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;        {</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;            result += (*bias)[i % cols_in];</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;</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;        result *= result_mult_int;</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;        result &gt;&gt;= result_shift;</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;        <span class="comment">// Bounded ReLu</span></div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;        <span class="keywordflow">if</span>(min != max)</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;            result = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::max</a>(min, <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(max, result));</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;        }</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;        (*dst)[i] = <span class="keyword">static_cast&lt;</span>uint8_t<span class="keyword">&gt;</span>(<a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::max</a>(0, <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(255, result)));</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;    }</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;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;<span class="keywordtype">void</span> quantize_down_int32_to_uint8_scale_by_fixedpoint(<span class="keyword">const</span> SimpleTensor&lt;T&gt; *in, <span class="keyword">const</span> SimpleTensor&lt;T&gt; *bias, SimpleTensor&lt;uint8_t&gt; *dst, int32_t result_fixedpoint_multiplier, int32_t result_shift,</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;                                                      int32_t result_offset_after_shift, int32_t min, int32_t max)</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;    <span class="keyword">const</span> <span class="keywordtype">int</span> cols_in = in-&gt;shape().x();</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;    <span class="keywordflow">for</span>(<span class="keywordtype">int</span> i = 0; i &lt; in-&gt;num_elements(); ++i)</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;    {</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;        int32_t result = (*in)[i];</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;        <span class="keywordflow">if</span>(bias != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;        {</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;            result += (*bias)[i % cols_in];</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;</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;        <span class="comment">// Fixed point multiplication</span></div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;        result = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5bab95cbeb5c6bf05049df7afd32d823">asymm_rounding_divide_by_pow2</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aea27abcd3d58d627282320dfdd213596">asymm_int_mult</a>(result, result_fixedpoint_multiplier), result_shift);</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;        result += result_offset_after_shift;</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;        <span class="comment">// Bounded ReLu</span></div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;        <span class="keywordflow">if</span>(min != max)</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;        {</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;            result = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::max</a>(min, <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(max, result));</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;        }</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;        (*dst)[i] = <span class="keyword">static_cast&lt;</span>uint8_t<span class="keyword">&gt;</span>(<a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::max</a>(0, <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(255, result)));</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;    }</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;}</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;} <span class="comment">// namespace</span></div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T_out, <span class="keyword">typename</span> T_in&gt;</div><div class="line"><a name="l00101"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a178224507e78107d57a52f69d6ac25ae">  101</a></span>&#160;<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T_out&gt;</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a178224507e78107d57a52f69d6ac25ae">gemmlowp_matrix_multiply_core</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T_in&gt;</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aac40b7097f2bda9274ae07fa33d15a79">a</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T_in&gt;</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7b8004eef325a40dd43eb80755610fff">b</a>, int32_t a_offset, int32_t b_offset)</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;{</div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;    static_assert(std::is_same&lt;<span class="keyword">typename</span> <a class="code" href="namespacecaffe__data__extractor.xhtml#a7aead736a07eaf25623ad7bfa1f0ee2d">std::decay&lt;T_out&gt;::type</a>, int32_t&gt;::<a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a>, <span class="stringliteral">&quot;Only int32_t is allowed for the output&quot;</span>);</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;    <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>         <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>(b.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[0], a.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[1]);</div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;    <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>            dt = <a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">std::is_same&lt;T_out, int32_t&gt;::value</a> ? <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a> : <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">DataType::U32</a>;</div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T_out&gt;</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a497347573faa3778743ddf277f861094">c</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>, dt);</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;</div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> K       = a.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>().x();</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> b_width = b.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>().x();</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> rows    = c.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>().y(); <span class="comment">//M</span></div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> cols    = c.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>().x(); <span class="comment">//N</span></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;    std::vector&lt;T_out&gt; acc;</div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;    acc.resize(cols);</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="keywordflow">for</span>(<span class="keywordtype">int</span> i = 0; i &lt; rows; ++i)</div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;    {</div><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;        <span class="keywordflow">for</span>(<span class="keywordtype">int</span> j = 0; j &lt; cols; ++j)</div><div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;        {</div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;            acc[j] = 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;        <span class="keywordflow">for</span>(<span class="keywordtype">int</span> k = 0; k &lt; K; ++k)</div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;        {</div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;            <span class="keyword">const</span> T_out tmp_a = a_offset + <span class="keyword">static_cast&lt;</span>T_out<span class="keyword">&gt;</span>(a[k + i * K]);</div><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;            <span class="keywordflow">for</span>(<span class="keywordtype">int</span> j = 0; j &lt; b_width; ++j)</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;                <span class="keyword">const</span> T_out tmp_b       = b_offset + <span class="keyword">static_cast&lt;</span>T_out<span class="keyword">&gt;</span>(b[j + k * b_width]);</div><div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;                <span class="keyword">const</span> T_out mult_as_int = tmp_a * tmp_b;</div><div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;                acc[j] += mult_as_int;</div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;            }</div><div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;        }</div><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;        <span class="keywordflow">for</span>(<span class="keywordtype">int</span> j = 0; j &lt; cols; ++j)</div><div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;        {</div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;            c[j + i * cols] = acc[j];</div><div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;        }</div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;    }</div><div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;</div><div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a497347573faa3778743ddf277f861094">c</a>;</div><div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;}</div><div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;</div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;<span class="comment">// used to validate assembly kernels which don&#39;t know anything about offsets</span></div><div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T1, <span class="keyword">typename</span> T2&gt;</div><div class="line"><a name="l00144"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af630394e74637438b32d2381ef521c9d">  144</a></span>&#160;<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T1&gt;</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af630394e74637438b32d2381ef521c9d">gemmlowp</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T2&gt;</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aac40b7097f2bda9274ae07fa33d15a79">a</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T2&gt;</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7b8004eef325a40dd43eb80755610fff">b</a>)</div><div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;{</div><div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;    <span class="keywordflow">return</span> gemmlowp_matrix_multiply_core&lt;T1, T2&gt;(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aac40b7097f2bda9274ae07fa33d15a79">a</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7b8004eef325a40dd43eb80755610fff">b</a>, 0, 0);</div><div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;}</div><div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;</div><div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00150"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aa74f872dcd4daaaa3ef53e8ab628b606">  150</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#aa74f872dcd4daaaa3ef53e8ab628b606">gemmlowp_quantize_down_int32_to_uint8_scale</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;in, int32_t result_offset, int32_t result_mult_int, int32_t result_shift, int32_t min, int32_t max)</div><div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;{</div><div class="line"><a name="l00152"></a><span class="lineno">  152</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>(in.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>(), <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>);</div><div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;</div><div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;    quantize_down_int32_to_uint8_scale&lt;T&gt;(&amp;in, <span class="keyword">nullptr</span>, &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>, result_offset, result_mult_int, result_shift, <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">min</a>, <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">max</a>);</div><div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;</div><div class="line"><a name="l00156"></a><span class="lineno">  156</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="l00157"></a><span class="lineno">  157</span>&#160;}</div><div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;</div><div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00160"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a32a9b5d6bd895eb4a431ed762a6891c1">  160</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#aa74f872dcd4daaaa3ef53e8ab628b606">gemmlowp_quantize_down_int32_to_uint8_scale</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;in, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> &amp;bias, int32_t result_offset, int32_t result_mult_int, int32_t result_shift,</div><div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;                                                                  int32_t min, int32_t max)</div><div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;{</div><div class="line"><a name="l00163"></a><span class="lineno">  163</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>(in.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>(), <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>);</div><div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;</div><div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;    quantize_down_int32_to_uint8_scale&lt;T&gt;(&amp;in, &amp;bias, &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>, result_offset, result_mult_int, result_shift, <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">min</a>, <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">max</a>);</div><div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;</div><div class="line"><a name="l00167"></a><span class="lineno">  167</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="l00168"></a><span class="lineno">  168</span>&#160;}</div><div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;</div><div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00171"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a06197dfafd5455257cec13e414cce105">  171</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#a06197dfafd5455257cec13e414cce105">gemmlowp_quantize_down_int32_to_uint8_scale_by_fixedpoint</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;in, int32_t result_fixedpoint_multiplier, int32_t result_shift,</div><div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;                                                                                int32_t result_offset_after_shift, int32_t min,</div><div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;                                                                                int32_t max)</div><div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;{</div><div class="line"><a name="l00175"></a><span class="lineno">  175</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>(in.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>(), <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>);</div><div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;</div><div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;    quantize_down_int32_to_uint8_scale_by_fixedpoint&lt;T&gt;(&amp;in, <span class="keyword">nullptr</span>, &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>, result_fixedpoint_multiplier, result_shift, result_offset_after_shift, <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">min</a>, <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">max</a>);</div><div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;</div><div class="line"><a name="l00179"></a><span class="lineno">  179</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="l00180"></a><span class="lineno">  180</span>&#160;}</div><div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;</div><div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00183"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a43a9895cb024f65fd294a76b51a16092">  183</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#a06197dfafd5455257cec13e414cce105">gemmlowp_quantize_down_int32_to_uint8_scale_by_fixedpoint</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;in, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> &amp;bias, int32_t result_fixedpoint_multiplier, int32_t result_shift,</div><div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;                                                                                int32_t result_offset_after_shift, int32_t min, int32_t max)</div><div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;{</div><div class="line"><a name="l00186"></a><span class="lineno">  186</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>(in.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>(), <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>);</div><div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;</div><div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;    quantize_down_int32_to_uint8_scale_by_fixedpoint&lt;T&gt;(&amp;in, &amp;bias, &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>, result_fixedpoint_multiplier, result_shift, result_offset_after_shift, <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">min</a>, <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">max</a>);</div><div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;</div><div class="line"><a name="l00190"></a><span class="lineno">  190</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="l00191"></a><span class="lineno">  191</span>&#160;}</div><div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;</div><div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;<span class="keyword">template</span> <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#a06197dfafd5455257cec13e414cce105">gemmlowp_quantize_down_int32_to_uint8_scale_by_fixedpoint</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;int32_t&gt;</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aac40b7097f2bda9274ae07fa33d15a79">a</a>, int32_t result_fixedpoint_multiplier, int32_t result_shift,</div><div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;                                                                                         int32_t result_offset_after_shift, int32_t min, int32_t max);</div><div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;<span class="keyword">template</span> <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#a06197dfafd5455257cec13e414cce105">gemmlowp_quantize_down_int32_to_uint8_scale_by_fixedpoint</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;int32_t&gt;</a> &amp;a, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;int32_t&gt;</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7b8004eef325a40dd43eb80755610fff">b</a>, int32_t result_fixedpoint_multiplier,</div><div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;                                                                                         int32_t result_shift, int32_t result_offset_after_shift, int32_t min, int32_t max);</div><div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;<span class="keyword">template</span> <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#aa74f872dcd4daaaa3ef53e8ab628b606">gemmlowp_quantize_down_int32_to_uint8_scale</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;int32_t&gt;</a> &amp;a, int32_t result_offset, int32_t result_mult_int, int32_t result_shift, int32_t min,</div><div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;                                                                           int32_t max);</div><div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;<span class="keyword">template</span> <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#aa74f872dcd4daaaa3ef53e8ab628b606">gemmlowp_quantize_down_int32_to_uint8_scale</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;int32_t&gt;</a> &amp;a, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;int32_t&gt;</a> &amp;b, int32_t result_offset, int32_t result_mult_int,</div><div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;                                                                           int32_t result_shift, int32_t min, int32_t max);</div><div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;<span class="keyword">template</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;int32_t&gt;</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a178224507e78107d57a52f69d6ac25ae">gemmlowp_matrix_multiply_core</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;int8_t&gt;</a> &amp;a, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;int8_t&gt;</a> &amp;b, int32_t a_offset, int32_t b_offset);</div><div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;<span class="keyword">template</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;int32_t&gt;</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a178224507e78107d57a52f69d6ac25ae">gemmlowp_matrix_multiply_core</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, <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;b, int32_t a_offset, int32_t b_offset);</div><div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;<span class="keyword">template</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;int32_t&gt;</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af630394e74637438b32d2381ef521c9d">gemmlowp</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;int8_t&gt;</a> &amp;a, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;int8_t&gt;</a> &amp;b);</div><div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;<span class="keyword">template</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;int32_t&gt;</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af630394e74637438b32d2381ef521c9d">gemmlowp</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, <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;b);</div><div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;} <span class="comment">// namespace reference</span></div><div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;} <span class="comment">// namespace validation</span></div><div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;} <span class="comment">// namespace test</span></div><div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;} <span class="comment">// namespace arm_compute</span></div><div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a5bab95cbeb5c6bf05049df7afd32d823"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a5bab95cbeb5c6bf05049df7afd32d823">arm_compute::test::validation::asymm_rounding_divide_by_pow2</a></div><div class="ttdeci">int32_t asymm_rounding_divide_by_pow2(int32_t x, int exponent)</div><div class="ttdoc">Rounded to nearest division by a power-of-two. </div><div class="ttdef"><b>Definition:</b> <a href="_utils_quantized_asymm_8h_source.xhtml#l00036">UtilsQuantizedAsymm.h:36</a></div></div>
 121 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a45cde9abb508c62d67c3bb2b9bf566a5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">arm_compute::test::validation::shape</a></div><div class="ttdeci">shape</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00133">Convolution.cpp:133</a></div></div>
 122 <div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_aabcf39e3917f842dbc5fbb0d802f24d5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">arm_compute::test::fixed_point_arithmetic::detail::min</a></div><div class="ttdeci">fixed_point&lt; T &gt; min(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#l00884">FixedPoint.h:884</a></div></div>
 123 <div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml">arm_compute::TensorShape</a></div><div class="ttdoc">Shape of a tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00039">TensorShape.h:39</a></div></div>
 124 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_aac40b7097f2bda9274ae07fa33d15a79"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#aac40b7097f2bda9274ae07fa33d15a79">arm_compute::test::validation::a</a></div><div class="ttdeci">CLTensor a</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_g_e_m_m_8cpp_source.xhtml#l00121">GEMM.cpp:121</a></div></div>
 125 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_af630394e74637438b32d2381ef521c9d"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af630394e74637438b32d2381ef521c9d">arm_compute::test::validation::reference::gemmlowp</a></div><div class="ttdeci">SimpleTensor&lt; T1 &gt; gemmlowp(const SimpleTensor&lt; T2 &gt; &amp;a, const SimpleTensor&lt; T2 &gt; &amp;b)</div><div class="ttdef"><b>Definition:</b> <a href="validation_2reference_2_g_e_m_m_lowp_8cpp_source.xhtml#l00144">GEMMLowp.cpp:144</a></div></div>
 126 <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>
 127 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_a178224507e78107d57a52f69d6ac25ae"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a178224507e78107d57a52f69d6ac25ae">arm_compute::test::validation::reference::gemmlowp_matrix_multiply_core</a></div><div class="ttdeci">SimpleTensor&lt; T_out &gt; gemmlowp_matrix_multiply_core(const SimpleTensor&lt; T_in &gt; &amp;a, const SimpleTensor&lt; T_in &gt; &amp;b, int32_t a_offset, int32_t b_offset)</div><div class="ttdef"><b>Definition:</b> <a href="validation_2reference_2_g_e_m_m_lowp_8cpp_source.xhtml#l00101">GEMMLowp.cpp:101</a></div></div>
 128 <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="00__introduction_8dox_source.xhtml#l00001">00_introduction.dox:1</a></div></div>
 129 <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">arm_compute::Format::S32</a></div><div class="ttdoc">1 channel, 1 S32 per channel </div></div>
 130 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_aea27abcd3d58d627282320dfdd213596"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#aea27abcd3d58d627282320dfdd213596">arm_compute::test::validation::asymm_int_mult</a></div><div class="ttdeci">int32_t asymm_int_mult(int32_t a, int32_t b)</div><div class="ttdoc">Multiplication of two integers. </div><div class="ttdef"><b>Definition:</b> <a href="_utils_quantized_asymm_8h_source.xhtml#l00044">UtilsQuantizedAsymm.h:44</a></div></div>
 131 <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">arm_compute::Format::U32</a></div><div class="ttdoc">1 channel, 1 U32 per channel </div></div>
 132 <div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">arm_compute::DataType::QASYMM8</a></div></div>
 133 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_a06197dfafd5455257cec13e414cce105"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a06197dfafd5455257cec13e414cce105">arm_compute::test::validation::reference::gemmlowp_quantize_down_int32_to_uint8_scale_by_fixedpoint</a></div><div class="ttdeci">SimpleTensor&lt; uint8_t &gt; gemmlowp_quantize_down_int32_to_uint8_scale_by_fixedpoint(const SimpleTensor&lt; T &gt; &amp;in, int32_t result_fixedpoint_multiplier, int32_t result_shift, int32_t result_offset_after_shift, int32_t min, int32_t max)</div><div class="ttdef"><b>Definition:</b> <a href="validation_2reference_2_g_e_m_m_lowp_8cpp_source.xhtml#l00171">GEMMLowp.cpp:171</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="_utils_quantized_asymm_8h_xhtml"><div class="ttname"><a href="_utils_quantized_asymm_8h.xhtml">UtilsQuantizedAsymm.h</a></div></div>
 136 <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>
 137 <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>
 138 <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>
 139 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a497347573faa3778743ddf277f861094"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a497347573faa3778743ddf277f861094">arm_compute::test::validation::c</a></div><div class="ttdeci">CLTensor c</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_g_e_m_m_8cpp_source.xhtml#l00123">GEMM.cpp:123</a></div></div>
 140 <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>
 141 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a7b8004eef325a40dd43eb80755610fff"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a7b8004eef325a40dd43eb80755610fff">arm_compute::test::validation::b</a></div><div class="ttdeci">CLTensor b</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_g_e_m_m_8cpp_source.xhtml#l00122">GEMM.cpp:122</a></div></div>
 142 <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>
 143 <div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">arm_compute::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdoc">Available data types. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00072">Types.h:72</a></div></div>
 144 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_aa74f872dcd4daaaa3ef53e8ab628b606"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aa74f872dcd4daaaa3ef53e8ab628b606">arm_compute::test::validation::reference::gemmlowp_quantize_down_int32_to_uint8_scale</a></div><div class="ttdeci">SimpleTensor&lt; uint8_t &gt; gemmlowp_quantize_down_int32_to_uint8_scale(const SimpleTensor&lt; T &gt; &amp;in, int32_t result_offset, int32_t result_mult_int, int32_t result_shift, int32_t min, int32_t max)</div><div class="ttdef"><b>Definition:</b> <a href="validation_2reference_2_g_e_m_m_lowp_8cpp_source.xhtml#l00150">GEMMLowp.cpp:150</a></div></div>
 145 <div class="ttc" id="_g_e_m_m_lowp_8h_xhtml"><div class="ttname"><a href="_g_e_m_m_lowp_8h.xhtml">GEMMLowp.h</a></div></div>
 146 </div><!-- fragment --></div><!-- contents -->
 147 </div><!-- doc-content -->
 148 <!-- start footer part -->
 149 <div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
 150   <ul>
 151     <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_g_e_m_m_lowp_8cpp.xhtml">GEMMLowp.cpp</a></li>
 152     <li class="footer">Generated on Fri Mar 2 2018 12:37:53 for Compute Library by
 153     <a href="http://www.doxygen.org/index.html">
 154     <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
 155   </ul>
 156 </div>
 157 </body>
 158 </html>