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<div class="title">Helpers.h</div> </div>
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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="l00060"></a><span class="lineno"> 60</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00061"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9a1aa7d40588cbc644eb7d45d008b1f0"> 61</a></span>&#160;std::pair&lt;T, T&gt; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9a1aa7d40588cbc644eb7d45d008b1f0">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>)</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; std::pair&lt;T, T&gt; bounds;</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; <span class="keywordflow">switch</span>(data_type)</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; {</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>:</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; {</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <span class="keyword">using namespace </span>half_float::literal;</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; <span class="keywordflow">switch</span>(activation)</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; {</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <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="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(-2._h, 2._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, 128._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">default</span>:</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">&quot;Unsupported data type&quot;</span>);</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; }</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160;</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; <span class="keywordflow">return</span> bounds;</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160;}</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160;</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a131ea3f96ddd20058d2f866a012f1416">fill_mask_from_pattern</a>(uint8_t *mask, <span class="keywordtype">int</span> cols, <span class="keywordtype">int</span> rows, <a class="code" href="namespacearm__compute.xhtml#afdda916edc7502967bbec17ea3c06c02">MatrixPattern</a> pattern);</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160;</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</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#adb95f9d6a10468f65e49ee944ce727d7">calculate_depth_concatenate_shape</a>(<span class="keyword">const</span> std::vector&lt;TensorShape&gt; &amp;input_shapes);</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160;</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</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#a8699515548dd02392dce1e359767408c">calculate_width_concatenate_shape</a>(<span class="keyword">const</span> std::vector&lt;TensorShape&gt; &amp;input_shapes);</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160;</div><div class="line"><a name="l00140"></a><span class="lineno"><a class="line" href="structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters.xhtml"> 140</a></span>&#160;<span class="keyword">struct </span><a class="code" href="structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters.xhtml">HarrisCornersParameters</a></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"><a class="line" href="structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters.xhtml#a376acef8954eadc70f4b55e8e0588e13"> 142</a></span>&#160; <span class="keywordtype">float</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a6cae310822a46019ba25a00ddb0f7e62">threshold</a>{ 0.f }; </div><div class="line"><a name="l00143"></a><span class="lineno"><a class="line" href="structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters.xhtml#ac518d2e94791ccc6f84de95271e52c76"> 143</a></span>&#160; <span class="keywordtype">float</span> sensitivity{ 0.f }; </div><div class="line"><a name="l00144"></a><span class="lineno"><a class="line" href="structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters.xhtml#aa464047f090200f942a1e47c29fff783"> 144</a></span>&#160; <span class="keywordtype">float</span> min_dist{ 0.f }; </div><div class="line"><a name="l00145"></a><span class="lineno"><a class="line" href="structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters.xhtml#adbc7a7f2ed8211ad938edc9e795fbb6f"> 145</a></span>&#160; uint8_t constant_border_value{ 0 }; </div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160;};</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160;</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</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="l00150"></a><span class="lineno"> 150</span>&#160;</div><div class="line"><a name="l00152"></a><span class="lineno"><a class="line" href="structarm__compute_1_1test_1_1validation_1_1_canny_edge_parameters.xhtml"> 152</a></span>&#160;<span class="keyword">struct </span><a class="code" href="structarm__compute_1_1test_1_1validation_1_1_canny_edge_parameters.xhtml">CannyEdgeParameters</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"><a class="line" href="structarm__compute_1_1test_1_1validation_1_1_canny_edge_parameters.xhtml#ab8a8d1ea5336156261d2fa39d65bd3f3"> 154</a></span>&#160; int32_t upper_thresh{ 255 };</div><div class="line"><a name="l00155"></a><span class="lineno"><a class="line" href="structarm__compute_1_1test_1_1validation_1_1_canny_edge_parameters.xhtml#aec0ef8f2d1abc038d2bb568cff1a8d9e"> 155</a></span>&#160; int32_t lower_thresh{ 0 };</div><div class="line"><a name="l00156"></a><span class="lineno"><a class="line" href="structarm__compute_1_1test_1_1validation_1_1_canny_edge_parameters.xhtml#adbc7a7f2ed8211ad938edc9e795fbb6f"> 156</a></span>&#160; uint8_t constant_border_value{ 0 };</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="l00160"></a><span class="lineno"> 160</span>&#160;<a class="code" href="structarm__compute_1_1test_1_1validation_1_1_canny_edge_parameters.xhtml">CannyEdgeParameters</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#abd7b375e25d1b41ff9da321024c829ce">canny_edge_parameters</a>();</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160;</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00168"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6863b79e39e54f7770d759546fb54f1f"> 168</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="l00169"></a><span class="lineno"> 169</span>&#160;{</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</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="l00171"></a><span class="lineno"> 171</span>&#160; std::uniform_int_distribution&lt;typename T::value_type&gt; distribution(std::numeric_limits&lt;typename T::value_type&gt;::min(), std::numeric_limits&lt;typename T::value_type&gt;::max());</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160;</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">int</span> i = std::numeric_limits&lt;typename T::value_type&gt;::min(); i &lt;= std::numeric_limits&lt;typename T::value_type&gt;::max(); i++)</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; table[i] = distribution(generator);</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;}</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160;</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</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="l00186"></a><span class="lineno"> 186</span>&#160;</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</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="l00195"></a><span class="lineno"> 195</span>&#160;</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a683cf9b1a237f2d8326735a1c5e881ed">matrix_multiply</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aac40b7097f2bda9274ae07fa33d15a79">a</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7b8004eef325a40dd43eb80755610fff">b</a>, <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af8a8a0625e7981212a0af48deb9d2a09">out</a>);</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160;</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a67a7d3407f0ab92d1c80ccd0ea8908e0">transpose_matrix</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad366eaa4cf2d106037d91c30795a5c76">in</a>, <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> &amp;out);</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160;</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</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="l00225"></a><span class="lineno"> 225</span>&#160;</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af1e0de8172e8e875f08d040d03b164a5">zeros</a>(<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_1_coordinates.xhtml">Coordinates</a> &amp;anchor, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>);</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160;</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160;std::pair&lt;int, int&gt; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a55866d648f6da2a3aaf3965bd1685868">get_quantized_bounds</a>(<span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> &amp;quant_info, <span class="keywordtype">float</span> min, <span class="keywordtype">float</span> max);</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160;} <span class="comment">// namespace validation</span></div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160;} <span class="comment">// namespace test</span></div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160;} <span class="comment">// namespace arm_compute</span></div><div class="line"><a name="l00245"></a><span class="lineno"> 245</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_abd7b375e25d1b41ff9da321024c829ce"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#abd7b375e25d1b41ff9da321024c829ce">arm_compute::test::validation::canny_edge_parameters</a></div><div class="ttdeci">CannyEdgeParameters canny_edge_parameters()</div><div class="ttdoc">Generate parameters for Canny edge algorithm. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_helpers_8cpp_source.xhtml#l00134">Helpers.cpp:134</a></div></div>
<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#l00261">Error.h:261</a></div></div>
<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_arithmetic_division_8cpp_source.xhtml#l00096">ArithmeticDivision.cpp:96</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a55866d648f6da2a3aaf3965bd1685868"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a55866d648f6da2a3aaf3965bd1685868">arm_compute::test::validation::get_quantized_bounds</a></div><div class="ttdeci">std::pair&lt; int, int &gt; get_quantized_bounds(const QuantizationInfo &amp;quant_info, float min, float max)</div><div class="ttdoc">Helper function to compute quantized min and max bounds. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_helpers_8cpp_source.xhtml#l00305">Helpers.cpp:305</a></div></div>
<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>
<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>
<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="tests_2validation_2_helpers_8cpp_source.xhtml#l00035">Helpers.cpp:35</a></div></div>
<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">gemm configure &amp; a</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_g_e_m_m_8cpp_source.xhtml#l00102">GEMM.cpp:102</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_af1e0de8172e8e875f08d040d03b164a5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#af1e0de8172e8e875f08d040d03b164a5">arm_compute::test::validation::zeros</a></div><div class="ttdeci">void zeros(SimpleTensor&lt; T &gt; &amp;in, const Coordinates &amp;anchor, const TensorShape &amp;shape)</div><div class="ttdoc">Fill with zeros the input tensor in the area defined by anchor and shape. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_helpers_8cpp_source.xhtml#l00278">Helpers.cpp:278</a></div></div>
<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>
<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>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ad366eaa4cf2d106037d91c30795a5c76"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ad366eaa4cf2d106037d91c30795a5c76">arm_compute::test::validation::in</a></div><div class="ttdeci">CLTensor in</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00265">Winograd.cpp:265</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a67a7d3407f0ab92d1c80ccd0ea8908e0"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a67a7d3407f0ab92d1c80ccd0ea8908e0">arm_compute::test::validation::transpose_matrix</a></div><div class="ttdeci">void transpose_matrix(const SimpleTensor&lt; T &gt; &amp;in, SimpleTensor&lt; T &gt; &amp;out)</div><div class="ttdoc">Transpose matrix. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_helpers_8cpp_source.xhtml#l00199">Helpers.cpp:199</a></div></div>
<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="tests_2validation_2_helpers_8cpp_source.xhtml#l00077">Helpers.cpp:77</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">Copyright (c) 2017-2018 ARM Limited. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00024">00_introduction.dox:24</a></div></div>
<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#l01287">Types.h:1287</a></div></div>
<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>
<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="tests_2validation_2_helpers_8cpp_source.xhtml#l00101">Helpers.cpp:101</a></div></div>
<div class="ttc" id="_simple_tensor_8h_xhtml"><div class="ttname"><a href="_simple_tensor_8h.xhtml">SimpleTensor.h</a></div></div>
<div class="ttc" id="_half_8h_xhtml"><div class="ttname"><a href="_half_8h.xhtml">Half.h</a></div></div>
<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>
<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="_c_l_2_arithmetic_subtraction_8cpp_source.xhtml#l00174">ArithmeticSubtraction.cpp:174</a></div></div>
<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>
<div class="ttc" id="_globals_8h_xhtml"><div class="ttname"><a href="_globals_8h.xhtml">Globals.h</a></div></div>
<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="tests_2validation_2_helpers_8cpp_source.xhtml#l00162">Helpers.cpp:162</a></div></div>
<div class="ttc" id="structarm__compute_1_1test_1_1validation_1_1_canny_edge_parameters_xhtml"><div class="ttname"><a href="structarm__compute_1_1test_1_1validation_1_1_canny_edge_parameters.xhtml">arm_compute::test::validation::CannyEdgeParameters</a></div><div class="ttdoc">Parameters of Canny edge algorithm. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_helpers_8h_source.xhtml#l00152">Helpers.h:152</a></div></div>
<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#l00072">main.cpp:72</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_af8a8a0625e7981212a0af48deb9d2a09"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#af8a8a0625e7981212a0af48deb9d2a09">arm_compute::test::validation::out</a></div><div class="ttdeci">CLTensor out</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00266">Winograd.cpp:266</a></div></div>
<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>
<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>
<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="tests_2validation_2_helpers_8cpp_source.xhtml#l00116">Helpers.cpp:116</a></div></div>
<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#l00140">Helpers.h:140</a></div></div>
<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>
<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>
<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#l00168">Helpers.h:168</a></div></div>
<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="tests_2validation_2_helpers_8cpp_source.xhtml#l00218">Helpers.cpp:218</a></div></div>
<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>
<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="tests_2validation_2_helpers_8cpp_source.xhtml#l00150">Helpers.cpp:150</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a9a1aa7d40588cbc644eb7d45d008b1f0"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a9a1aa7d40588cbc644eb7d45d008b1f0">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)</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#l00061">Helpers.h:61</a></div></div>
<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>
<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#l00129">Types.h:129</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a683cf9b1a237f2d8326735a1c5e881ed"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a683cf9b1a237f2d8326735a1c5e881ed">arm_compute::test::validation::matrix_multiply</a></div><div class="ttdeci">void matrix_multiply(const SimpleTensor&lt; T &gt; &amp;a, const SimpleTensor&lt; T &gt; &amp;b, SimpleTensor&lt; T &gt; &amp;out)</div><div class="ttdoc">Matrix multiply between 2 float simple tensors. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_helpers_8cpp_source.xhtml#l00173">Helpers.cpp:173</a></div></div>
<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#l00091">GEMM.cpp:91</a></div></div>
<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>
<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#l00074">Types.h:74</a></div></div>
<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#l00507">Types.h:507</a></div></div>
<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>
<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="validation_2_c_l_2_convolution_8cpp_source.xhtml#l00147">Convolution.cpp:147</a></div></div>
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