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<a href="tests_2validation_2_helpers_8h.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) 2017-2018 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">#ifndef __ARM_COMPUTE_TEST_VALIDATION_HELPERS_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="preprocessor">#define __ARM_COMPUTE_TEST_VALIDATION_HELPERS_H__</span></div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;</div><div class="line"><a name="l00027"></a><span class="lineno">   27</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="l00028"></a><span class="lineno">   28</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="arm__compute_2core_2_utils_8h.xhtml">arm_compute/core/Utils.h</a>&quot;</span></div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_half_8h.xhtml">support/Half.h</a>&quot;</span></div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_globals_8h.xhtml">tests/Globals.h</a>&quot;</span></div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_simple_tensor_8h.xhtml">tests/SimpleTensor.h</a>&quot;</span></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="preprocessor">#include &lt;random&gt;</span></div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<span class="preprocessor">#include &lt;type_traits&gt;</span></div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;<span class="preprocessor">#include &lt;utility&gt;</span></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><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></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>test</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">namespace </span>validation</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="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00044"></a><span class="lineno"><a class="line" href="structarm__compute_1_1test_1_1validation_1_1is__floating__point.xhtml">   44</a></span>&#160;<span class="keyword">struct </span><a class="code" href="structarm__compute_1_1test_1_1validation_1_1is__floating__point.xhtml">is_floating_point</a> : <span class="keyword">public</span> std::is_floating_point&lt;T&gt;</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;{</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;</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;<span class="keyword">template</span> &lt;&gt;</div><div class="line"><a name="l00049"></a><span class="lineno"><a class="line" href="structarm__compute_1_1test_1_1validation_1_1is__floating__point_3_01half_01_4.xhtml">   49</a></span>&#160;<span class="keyword">struct </span><a class="code" href="structarm__compute_1_1test_1_1validation_1_1is__floating__point.xhtml">is_floating_point</a>&lt;<a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a>&gt; : <span class="keyword">public</span> std::true_type</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;};</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00062"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a87133ff9132626517c920974508575c0">   62</a></span>&#160;std::pair&lt;T, T&gt; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a87133ff9132626517c920974508575c0">get_activation_layer_test_bounds</a>(<a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9ea">ActivationLayerInfo::ActivationFunction</a> activation, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, <span class="keywordtype">int</span> fixed_point_position = 0)</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;    std::pair&lt;T, T&gt; bounds;</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;    <span class="keywordflow">switch</span>(data_type)</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;        <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>:</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">using namespace </span>half_float::literal;</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;            <span class="keywordflow">switch</span>(activation)</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="keywordflow">case</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa12dec4e1f7ec620651b2b95c440ffac0">ActivationLayerInfo::ActivationFunction::SQUARE</a>:</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;                <span class="keywordflow">case</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa72ee60fba0509af07cbbd91398d8db9d">ActivationLayerInfo::ActivationFunction::LOGISTIC</a>:</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;                <span class="keywordflow">case</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaadcc44a50c791a591c74e00ecdda7c58d">ActivationLayerInfo::ActivationFunction::SOFT_RELU</a>:</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;                    <span class="comment">// Reduce range as exponent overflows</span></div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;                    bounds = std::make_pair(-10._h, 10._h);</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;                    <span class="keywordflow">break</span>;</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;                <span class="keywordflow">case</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa36875f2500a09ee35d0bb7eb8c0b91b0">ActivationLayerInfo::ActivationFunction::SQRT</a>:</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;                    <span class="comment">// Reduce range as sqrt should take a non-negative number</span></div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;                    bounds = std::make_pair(0._h, 255._h);</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;                    <span class="keywordflow">break</span>;</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;                <span class="keywordflow">default</span>:</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;                    bounds = std::make_pair(-255._h, 255._h);</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;                    <span class="keywordflow">break</span>;</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">break</span>;</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="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>:</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;            <span class="keywordflow">switch</span>(activation)</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="keywordflow">case</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa72ee60fba0509af07cbbd91398d8db9d">ActivationLayerInfo::ActivationFunction::LOGISTIC</a>:</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;                <span class="keywordflow">case</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaadcc44a50c791a591c74e00ecdda7c58d">ActivationLayerInfo::ActivationFunction::SOFT_RELU</a>:</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;                    <span class="comment">// Reduce range as exponent overflows</span></div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;                    bounds = std::make_pair(-40.f, 40.f);</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;                    <span class="keywordflow">break</span>;</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;                <span class="keywordflow">case</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa36875f2500a09ee35d0bb7eb8c0b91b0">ActivationLayerInfo::ActivationFunction::SQRT</a>:</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;                    <span class="comment">// Reduce range as sqrt should take a non-negative number</span></div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;                    bounds = std::make_pair(0.f, 255.f);</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;                    <span class="keywordflow">break</span>;</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;                <span class="keywordflow">default</span>:</div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;                    bounds = std::make_pair(-255.f, 255.f);</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;                    <span class="keywordflow">break</span>;</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="keywordflow">break</span>;</div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a11cde4d3551db3f9498d339a67189543">DataType::QS8</a>:</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a48d877702a2957f5a932c43a357866f9">DataType::QS16</a>:</div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;            <span class="keywordflow">switch</span>(activation)</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;            {</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;                <span class="keywordflow">case</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa72ee60fba0509af07cbbd91398d8db9d">ActivationLayerInfo::ActivationFunction::LOGISTIC</a>:</div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;                <span class="keywordflow">case</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaadcc44a50c791a591c74e00ecdda7c58d">ActivationLayerInfo::ActivationFunction::SOFT_RELU</a>:</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;                <span class="keywordflow">case</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa143c8c6f51b9bb893ce71e38702e3cc1">ActivationLayerInfo::ActivationFunction::TANH</a>:</div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;                    <span class="comment">// Reduce range as exponent overflows</span></div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;                    bounds = std::make_pair(-(1 &lt;&lt; fixed_point_position), 1 &lt;&lt; fixed_point_position);</div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;                    <span class="keywordflow">break</span>;</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;                <span class="keywordflow">case</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa36875f2500a09ee35d0bb7eb8c0b91b0">ActivationLayerInfo::ActivationFunction::SQRT</a>:</div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;                    <span class="comment">// Reduce range as sqrt should take a non-negative number</span></div><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;                    <span class="comment">// Can&#39;t be zero either as inv_sqrt is used in NEON.</span></div><div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;                    bounds = std::make_pair(1, <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b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st_1_1validation_1_1_harris_corners_parameters.xhtml#adbc7a7f2ed8211ad938edc9e795fbb6f">  165</a></span>&#160;    uint8_t constant_border_value{ 0 }; </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;</div><div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;<a class="code" href="structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters.xhtml">HarrisCornersParameters</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad03c1c39d75226aecd5acd8e3959b02a">harris_corners_parameters</a>();</div><div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;</div><div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00177"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6863b79e39e54f7770d759546fb54f1f">  177</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6863b79e39e54f7770d759546fb54f1f">fill_lookuptable</a>(T &amp;&amp;table)</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;    std::mt19937                                          generator(<a class="code" href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">library</a>-&gt;seed());</div><div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;    std::uniform_int_distribution&lt;typename T::value_type&gt; distribution(<a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::numeric_limits&lt;typename T::value_type&gt;::min</a>(), <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::numeric_limits&lt;typename T::value_type&gt;::max</a>());</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="keywordflow">for</span>(<span class="keywordtype">int</span> i = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::numeric_limits&lt;typename T::value_type&gt;::min</a>(); <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">i &lt;= std::numeric_limits&lt;typename T::value_type&gt;::max</a>(); i++)</div><div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;    {</div><div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;        table[i] = distribution(generator);</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;}</div><div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;</div><div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00195"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a87338eeb8578a4990b6ab73b9696af45">  195</a></span>&#160;std::pair&lt;T, T&gt; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a87338eeb8578a4990b6ab73b9696af45">get_batchnormalization_layer_test_bounds</a>(<span class="keywordtype">int</span> fixed_point_position = 1)</div><div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;{</div><div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">bool</span> is_float = std::is_floating_point&lt;T&gt;::value;</div><div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;    std::pair&lt;T, T&gt; bounds;</div><div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;</div><div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;    <span class="comment">// Set initial values</span></div><div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;    <span class="keywordflow">if</span>(is_float)</div><div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;    {</div><div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;        bounds = std::make_pair(-1.f, 1.f);</div><div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;    }</div><div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;    <span class="keywordflow">else</span></div><div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;    {</div><div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;        bounds = std::make_pair(1, 1 &lt;&lt; (fixed_point_position));</div><div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;    }</div><div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;</div><div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;    <span class="keywordflow">return</span> bounds;</div><div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;}</div><div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;</div><div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00218"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4bd7c62a72ba0ac0a1e073de9935506d">  218</a></span>&#160;std::pair&lt;T, T&gt; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4bd7c62a72ba0ac0a1e073de9935506d">get_normalize_planar_yuv_layer_test_bounds</a>()</div><div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;{</div><div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;    std::pair&lt;T, T&gt; bounds;</div><div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;</div><div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;    bounds = std::make_pair(-1.f, 1.f);</div><div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;</div><div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;    <span class="keywordflow">return</span> bounds;</div><div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;}</div><div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;</div><div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;<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.xhtml#ab24849be91cfb00a72f7a61a7e00fdb7">convert_from_asymmetric</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>);</div><div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;</div><div class="line"><a name="l00242"></a><span class="lineno">  242</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#a291a16e64b05bdf4d08e1240d5bb286a">convert_to_asymmetric</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="keyword">const</span> <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> &amp;quantization_info);</div><div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;</div><div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f431b100088915a77ede3e283d1bdf6">matrix_multiply</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;<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;float&gt;</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7b8004eef325a40dd43eb80755610fff">b</a>, <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;float&gt;</a> &amp;out);</div><div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;</div><div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af07d79246ecf85a072b0d948e7142464">transpose_matrix</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;in, <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;float&gt;</a> &amp;out);</div><div class="line"><a name="l00260"></a><span class="lineno">  260</span>&#160;</div><div class="line"><a name="l00269"></a><span class="lineno">  269</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab9399f3f1910e0f236cd6f4613bd4397">get_tile</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, <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> &amp;tile, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &amp;coord);</div><div class="line"><a name="l00271"></a><span class="lineno">  271</span>&#160;} <span class="comment">// namespace validation</span></div><div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160;} <span class="comment">// namespace test</span></div><div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160;} <span class="comment">// namespace arm_compute</span></div><div class="line"><a name="l00274"></a><span class="lineno">  274</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* __ARM_COMPUTE_TEST_VALIDATION_HELPERS_H__ */</span><span class="preprocessor"></span></div><div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a87133ff9132626517c920974508575c0"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a87133ff9132626517c920974508575c0">arm_compute::test::validation::get_activation_layer_test_bounds</a></div><div class="ttdeci">std::pair&lt; T, T &gt; get_activation_layer_test_bounds(ActivationLayerInfo::ActivationFunction activation, DataType data_type, int fixed_point_position=0)</div><div class="ttdoc">Helper function to get the testing range for each activation layer. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_helpers_8h_source.xhtml#l00062">Helpers.h:62</a></div></div>
 121 <div class="ttc" id="_error_8h_xhtml_a05b19c75afe9c24200a62b9724734bbd"><div class="ttname"><a href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR(...)</div><div class="ttdoc">Print the given message then throw an std::runtime_error. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00260">Error.h:260</a></div></div>
 122 <div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a48d877702a2957f5a932c43a357866f9"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a48d877702a2957f5a932c43a357866f9">arm_compute::DataType::QS16</a></div><div class="ttdoc">quantized, symmetric fixed-point 16-bit number </div></div>
 123 <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#l00897">FixedPoint.h:897</a></div></div>
 124 <div class="ttc" id="structarm__compute_1_1test_1_1validation_1_1is__floating__point_xhtml"><div class="ttname"><a href="structarm__compute_1_1test_1_1validation_1_1is__floating__point.xhtml">arm_compute::test::validation::is_floating_point</a></div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_helpers_8h_source.xhtml#l00044">Helpers.h:44</a></div></div>
 125 <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>
 126 <div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a11cde4d3551db3f9498d339a67189543"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a11cde4d3551db3f9498d339a67189543">arm_compute::DataType::QS8</a></div><div class="ttdoc">quantized, symmetric fixed-point 8-bit number </div></div>
 127 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a131ea3f96ddd20058d2f866a012f1416"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a131ea3f96ddd20058d2f866a012f1416">arm_compute::test::validation::fill_mask_from_pattern</a></div><div class="ttdeci">void fill_mask_from_pattern(uint8_t *mask, int cols, int rows, MatrixPattern pattern)</div><div class="ttdoc">Fill mask with the corresponding given pattern. </div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8cpp_source.xhtml#l00035">Helpers.cpp:35</a></div></div>
 128 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a8f431b100088915a77ede3e283d1bdf6"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f431b100088915a77ede3e283d1bdf6">arm_compute::test::validation::matrix_multiply</a></div><div class="ttdeci">void matrix_multiply(const SimpleTensor&lt; float &gt; &amp;a, const SimpleTensor&lt; float &gt; &amp;b, SimpleTensor&lt; float &gt; &amp;out)</div><div class="ttdoc">Matrix multiply between 2 float simple tensors. </div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8cpp_source.xhtml#l00156">Helpers.cpp:156</a></div></div>
 129 <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>
 130 <div class="ttc" id="namespacearm__compute_xhtml_a73e2825fd61d349c5ca2f5313e3c8ea1"><div class="ttname"><a href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">arm_compute::half</a></div><div class="ttdeci">half_float::half half</div><div class="ttdoc">16-bit floating point type </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00044">Types.h:44</a></div></div>
 131 <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::Format::F32</a></div><div class="ttdoc">1 channel, 1 F32 per channel </div></div>
 132 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_adb95f9d6a10468f65e49ee944ce727d7"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#adb95f9d6a10468f65e49ee944ce727d7">arm_compute::test::validation::calculate_depth_concatenate_shape</a></div><div class="ttdeci">TensorShape calculate_depth_concatenate_shape(const std::vector&lt; TensorShape &gt; &amp;input_shapes)</div><div class="ttdoc">Calculate output tensor shape give a vector of input tensor to concatenate. </div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8cpp_source.xhtml#l00077">Helpers.cpp:77</a></div></div>
 133 <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>
 134 <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml_a56297e0f7b215eea46c818cb7528d9ea"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9ea">arm_compute::ActivationLayerInfo::ActivationFunction</a></div><div class="ttdeci">ActivationFunction</div><div class="ttdoc">Available activation functions. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00813">Types.h:813</a></div></div>
 135 <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">arm_compute::Format::F16</a></div><div class="ttdoc">1 channel, 1 F16 per channel </div></div>
 136 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a8699515548dd02392dce1e359767408c"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a8699515548dd02392dce1e359767408c">arm_compute::test::validation::calculate_width_concatenate_shape</a></div><div class="ttdeci">TensorShape calculate_width_concatenate_shape(const std::vector&lt; TensorShape &gt; &amp;input_shapes)</div><div class="ttdoc">Calculate output tensor shape give a vector of input tensor to concatenate. </div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8cpp_source.xhtml#l00101">Helpers.cpp:101</a></div></div>
 137 <div class="ttc" id="_simple_tensor_8h_xhtml"><div class="ttname"><a href="_simple_tensor_8h.xhtml">SimpleTensor.h</a></div></div>
 138 <div class="ttc" id="_half_8h_xhtml"><div class="ttname"><a href="_half_8h.xhtml">Half.h</a></div></div>
 139 <div class="ttc" id="arm__compute_2core_2_utils_8h_xhtml"><div class="ttname"><a href="arm__compute_2core_2_utils_8h.xhtml">Utils.h</a></div></div>
 140 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ac2ad7f431e3446fddcd9b6b9f93c4c14"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">arm_compute::test::validation::data_type</a></div><div class="ttdeci">data_type</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_g_e_m_m_8cpp_source.xhtml#l00116">GEMM.cpp:116</a></div></div>
 141 <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml_a56297e0f7b215eea46c818cb7528d9eaa36875f2500a09ee35d0bb7eb8c0b91b0"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa36875f2500a09ee35d0bb7eb8c0b91b0">arm_compute::ActivationLayerInfo::ActivationFunction::SQRT</a></div><div class="ttdoc">Square root (  ) </div></div>
 142 <div class="ttc" id="_globals_8h_xhtml"><div class="ttname"><a href="_globals_8h.xhtml">Globals.h</a></div></div>
 143 <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#l00146">Helpers.cpp:146</a></div></div>
 144 <div class="ttc" id="namespacearm__compute_1_1test_xhtml_a71326f0909d77386e29b511e1990a11f"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">arm_compute::test::library</a></div><div class="ttdeci">std::unique_ptr&lt; AssetsLibrary &gt; library</div><div class="ttdef"><b>Definition:</b> <a href="main_8cpp_source.xhtml#l00059">main.cpp:59</a></div></div>
 145 <div class="ttc" id="classarm__compute_1_1_coordinates_xhtml"><div class="ttname"><a href="classarm__compute_1_1_coordinates.xhtml">arm_compute::Coordinates</a></div><div class="ttdoc">Coordinates of an item. </div><div class="ttdef"><b>Definition:</b> <a href="_coordinates_8h_source.xhtml#l00037">Coordinates.h:37</a></div></div>
 146 <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml_a56297e0f7b215eea46c818cb7528d9eaa72ee60fba0509af07cbbd91398d8db9d"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa72ee60fba0509af07cbbd91398d8db9d">arm_compute::ActivationLayerInfo::ActivationFunction::LOGISTIC</a></div><div class="ttdoc">Logistic (  ) </div></div>
 147 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ad03c1c39d75226aecd5acd8e3959b02a"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ad03c1c39d75226aecd5acd8e3959b02a">arm_compute::test::validation::harris_corners_parameters</a></div><div class="ttdeci">HarrisCornersParameters harris_corners_parameters()</div><div class="ttdoc">Generate parameters for Harris Corners algorithm. </div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8cpp_source.xhtml#l00116">Helpers.cpp:116</a></div></div>
 148 <div class="ttc" id="structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters_xhtml"><div class="ttname"><a href="structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters.xhtml">arm_compute::test::validation::HarrisCornersParameters</a></div><div class="ttdoc">Parameters of Harris Corners algorithm. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_helpers_8h_source.xhtml#l00160">Helpers.h:160</a></div></div>
 149 <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml_a56297e0f7b215eea46c818cb7528d9eaa12dec4e1f7ec620651b2b95c440ffac0"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa12dec4e1f7ec620651b2b95c440ffac0">arm_compute::ActivationLayerInfo::ActivationFunction::SQUARE</a></div><div class="ttdoc">Square (  ) </div></div>
 150 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a4bd7c62a72ba0ac0a1e073de9935506d"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a4bd7c62a72ba0ac0a1e073de9935506d">arm_compute::test::validation::get_normalize_planar_yuv_layer_test_bounds</a></div><div class="ttdeci">std::pair&lt; T, T &gt; get_normalize_planar_yuv_layer_test_bounds()</div><div class="ttdoc">Helper function to get the testing range for NormalizePlanarYUV layer. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_helpers_8h_source.xhtml#l00218">Helpers.h:218</a></div></div>
 151 <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>
 152 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a87338eeb8578a4990b6ab73b9696af45"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a87338eeb8578a4990b6ab73b9696af45">arm_compute::test::validation::get_batchnormalization_layer_test_bounds</a></div><div class="ttdeci">std::pair&lt; T, T &gt; get_batchnormalization_layer_test_bounds(int fixed_point_position=1)</div><div class="ttdoc">Helper function to get the testing range for batch normalization layer. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_helpers_8h_source.xhtml#l00195">Helpers.h:195</a></div></div>
 153 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a6863b79e39e54f7770d759546fb54f1f"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a6863b79e39e54f7770d759546fb54f1f">arm_compute::test::validation::fill_lookuptable</a></div><div class="ttdeci">void fill_lookuptable(T &amp;&amp;table)</div><div class="ttdoc">Helper function to fill the Lut random by a ILutAccessor. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_helpers_8h_source.xhtml#l00177">Helpers.h:177</a></div></div>
 154 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ab9399f3f1910e0f236cd6f4613bd4397"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ab9399f3f1910e0f236cd6f4613bd4397">arm_compute::test::validation::get_tile</a></div><div class="ttdeci">void get_tile(const SimpleTensor&lt; T &gt; &amp;in, SimpleTensor&lt; T &gt; &amp;tile, const Coordinates &amp;coord)</div><div class="ttdoc">Get a 2D tile from a tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8cpp_source.xhtml#l00200">Helpers.cpp:200</a></div></div>
 155 <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml_a56297e0f7b215eea46c818cb7528d9eaa143c8c6f51b9bb893ce71e38702e3cc1"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaa143c8c6f51b9bb893ce71e38702e3cc1">arm_compute::ActivationLayerInfo::ActivationFunction::TANH</a></div><div class="ttdoc">Hyperbolic tangent (  ) </div></div>
 156 <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#l00134">Helpers.cpp:134</a></div></div>
 157 <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml_a56297e0f7b215eea46c818cb7528d9eaadcc44a50c791a591c74e00ecdda7c58d"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9eaadcc44a50c791a591c74e00ecdda7c58d">arm_compute::ActivationLayerInfo::ActivationFunction::SOFT_RELU</a></div><div class="ttdoc">Soft Rectifier (  ) </div></div>
 158 <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#l00902">FixedPoint.h:902</a></div></div>
 159 <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#l00127">Types.h:127</a></div></div>
 160 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_af07d79246ecf85a072b0d948e7142464"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#af07d79246ecf85a072b0d948e7142464">arm_compute::test::validation::transpose_matrix</a></div><div class="ttdeci">void transpose_matrix(const SimpleTensor&lt; float &gt; &amp;in, SimpleTensor&lt; float &gt; &amp;out)</div><div class="ttdoc">Transpose matrix. </div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8cpp_source.xhtml#l00181">Helpers.cpp:181</a></div></div>
 161 <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>
 162 <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>
 163 <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>
 164 <div class="ttc" id="namespacearm__compute_xhtml_afdda916edc7502967bbec17ea3c06c02"><div class="ttname"><a href="namespacearm__compute.xhtml#afdda916edc7502967bbec17ea3c06c02">arm_compute::MatrixPattern</a></div><div class="ttdeci">MatrixPattern</div><div class="ttdoc">Available matrix patterns. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00498">Types.h:498</a></div></div>
 165 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_a6cae310822a46019ba25a00ddb0f7e62"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a6cae310822a46019ba25a00ddb0f7e62">arm_compute::test::validation::reference::threshold</a></div><div class="ttdeci">SimpleTensor&lt; T &gt; threshold(const SimpleTensor&lt; T &gt; &amp;src, T threshold, T false_value, T true_value, ThresholdType type, T upper)</div><div class="ttdef"><b>Definition:</b> <a href="reference_2_threshold_8cpp_source.xhtml#l00035">Threshold.cpp:35</a></div></div>
 166 <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>
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