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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> <span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Copyright (c) 2017-2019 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <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> <span class="comment"> * of this software and associated documentation files (the "Software"), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <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> <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> <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> <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> <span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <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> <span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <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> <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> <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> <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> <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> <span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#ifndef ARM_COMPUTE_TEST_VALIDATION_HELPERS_H</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#define ARM_COMPUTE_TEST_VALIDATION_HELPERS_H</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> </div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="arm__compute_2core_2_types_8h.xhtml">arm_compute/core/Types.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="arm__compute_2core_2_utils_8h.xhtml">arm_compute/core/Utils.h</a>"</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="_half_8h.xhtml">support/Half.h</a>"</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "<a class="code" href="_globals_8h.xhtml">tests/Globals.h</a>"</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "<a class="code" href="_simple_tensor_8h.xhtml">tests/SimpleTensor.h</a>"</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> </div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include <random></span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include <type_traits></span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include <utility></span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> </div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <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> {</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="keyword">namespace </span>test</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> {</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="keyword">namespace </span>validation</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> {</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></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> <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<T></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> {</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> };</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> </div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="keyword">template</span> <></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> <span class="keyword">struct </span><a class="code" href="structarm__compute_1_1test_1_1validation_1_1is__floating__point.xhtml">is_floating_point</a><<a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a>> : <span class="keyword">public</span> std::true_type</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> {</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> };</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="comment"></span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="comment">/** Helper function to get the testing range for each activation layer.</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="comment"> *</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="comment"> * @param[in] activation Activation function to test.</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="comment"> * @param[in] data_type Data type.</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="comment"> *</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="comment"> * @return A pair containing the lower upper testing bounds for a given function.</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="comment"> */</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></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> std::pair<T, T> <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#a5f5b6c4337eac9e2e0046ca2304d80dc">data_type</a>)</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> {</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  std::pair<T, T> bounds;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> </div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keywordflow">switch</span>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5f5b6c4337eac9e2e0046ca2304d80dc">data_type</a>)</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  {</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <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>  {</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keyword">using namespace </span>half_float::literal;</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> </div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordflow">switch</span>(activation)</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  {</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <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>  <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>  <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>  <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>  <span class="comment">// Reduce range as exponent overflows</span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  bounds = std::make_pair(-2._h, 2._h);</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <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>  <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>  bounds = std::make_pair(0._h, 128._h);</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  bounds = std::make_pair(-255._h, 255._h);</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  }</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  }</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <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>  <span class="keywordflow">switch</span>(activation)</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  {</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <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>  <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>  <span class="comment">// Reduce range as exponent overflows</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  bounds = std::make_pair(-40.f, 40.f);</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <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>  <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>  bounds = std::make_pair(0.f, 255.f);</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  bounds = std::make_pair(-255.f, 255.f);</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  }</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <a class="code" href="_error_8h.xhtml#a7cf8d8b669b8f7b05680230be30d60f4">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"Unsupported data type"</span>);</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  }</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> </div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keywordflow">return</span> bounds;</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> }</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> <span class="comment"></span></div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> <span class="comment">/** Fill mask with the corresponding given pattern.</span></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> <span class="comment"> *</span></div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> <span class="comment"> * @param[in,out] mask Mask to be filled according to pattern</span></div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> <span class="comment"> * @param[in] cols Columns (width) of mask</span></div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> <span class="comment"> * @param[in] rows Rows (height) of mask</span></div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> <span class="comment"> * @param[in] pattern Pattern to fill the mask according to</span></div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> <span class="comment"> */</span></div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> <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> <span class="comment"></span></div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> <span class="comment">/** Calculate output tensor shape give a vector of input tensor to concatenate</span></div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> <span class="comment"> *</span></div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> <span class="comment"> * @param[in] input_shapes Shapes of the tensors to concatenate across depth.</span></div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> <span class="comment"> *</span></div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> <span class="comment"> * @return The shape of output concatenated tensor.</span></div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> <span class="comment"> */</span></div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa401e451095ed01dd78f1ae8c026eb6e">calculate_depth_concatenate_shape</a>(<span class="keyword">const</span> std::vector<TensorShape> &input_shapes);</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> <span class="comment"></span></div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> <span class="comment">/** Calculate output tensor shape for the concatenate operation along a given axis</span></div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> <span class="comment"> *</span></div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> <span class="comment"> * @param[in] input_shapes Shapes of the tensors to concatenate across width.</span></div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> <span class="comment"> * @param[in] axis Axis to use for the concatenate operation</span></div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> <span class="comment"> *</span></div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> <span class="comment"> * @return The shape of output concatenated tensor.</span></div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> <span class="comment"> */</span></div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a871322e9858290606dadc4f22b2f7013">calculate_concatenate_shape</a>(<span class="keyword">const</span> std::vector<TensorShape> &input_shapes, <span class="keywordtype">size_t</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#accc088009d44c521706aa98d6387ee21">axis</a>);</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> <span class="comment"></span></div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> <span class="comment">/** Parameters of Harris Corners algorithm. */</span></div><div class="line"><a name="l00141"></a><span class="lineno"><a class="line" href="structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters.xhtml"> 141</a></span> <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="l00142"></a><span class="lineno"> 142</span> {</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#a376acef8954eadc70f4b55e8e0588e13"> 143</a></span>  <span class="keywordtype">float</span> <a class="code" href="structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters.xhtml#a376acef8954eadc70f4b55e8e0588e13">threshold</a>{ 0.f }; <span class="comment">/**< Threshold */</span></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#ac518d2e94791ccc6f84de95271e52c76"> 144</a></span>  <span class="keywordtype">float</span> <a class="code" href="structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters.xhtml#ac518d2e94791ccc6f84de95271e52c76">sensitivity</a>{ 0.f }; <span class="comment">/**< Sensitivity */</span></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#aa464047f090200f942a1e47c29fff783"> 145</a></span>  <span class="keywordtype">float</span> <a class="code" href="structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters.xhtml#aa464047f090200f942a1e47c29fff783">min_dist</a>{ 0.f }; <span class="comment">/**< Minimum distance */</span></div><div class="line"><a name="l00146"></a><span class="lineno"><a class="line" href="structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters.xhtml#adbc7a7f2ed8211ad938edc9e795fbb6f"> 146</a></span>  uint8_t <a class="code" href="structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters.xhtml#adbc7a7f2ed8211ad938edc9e795fbb6f">constant_border_value</a>{ 0 }; <span class="comment">/**< Border value */</span></div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span> };</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> <span class="comment"></span></div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span> <span class="comment">/** Generate parameters for Harris Corners algorithm. */</span></div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> HarrisCornersParameters <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad03c1c39d75226aecd5acd8e3959b02a">harris_corners_parameters</a>();</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span> <span class="comment"></span></div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> <span class="comment">/** Parameters of Canny edge algorithm. */</span></div><div class="line"><a name="l00153"></a><span class="lineno"><a class="line" href="structarm__compute_1_1test_1_1validation_1_1_canny_edge_parameters.xhtml"> 153</a></span> <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="l00154"></a><span class="lineno"> 154</span> {</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#ab8a8d1ea5336156261d2fa39d65bd3f3"> 155</a></span>  int32_t <a class="code" href="structarm__compute_1_1test_1_1validation_1_1_canny_edge_parameters.xhtml#ab8a8d1ea5336156261d2fa39d65bd3f3">upper_thresh</a>{ 255 };</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#aec0ef8f2d1abc038d2bb568cff1a8d9e"> 156</a></span>  int32_t <a class="code" href="structarm__compute_1_1test_1_1validation_1_1_canny_edge_parameters.xhtml#aec0ef8f2d1abc038d2bb568cff1a8d9e">lower_thresh</a>{ 0 };</div><div class="line"><a name="l00157"></a><span class="lineno"><a class="line" href="structarm__compute_1_1test_1_1validation_1_1_canny_edge_parameters.xhtml#adbc7a7f2ed8211ad938edc9e795fbb6f"> 157</a></span>  uint8_t <a class="code" href="structarm__compute_1_1test_1_1validation_1_1_canny_edge_parameters.xhtml#adbc7a7f2ed8211ad938edc9e795fbb6f">constant_border_value</a>{ 0 };</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> };</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span> <span class="comment"></span></div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span> <span class="comment">/** Generate parameters for Canny edge algorithm. */</span></div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span> CannyEdgeParameters <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#abd7b375e25d1b41ff9da321024c829ce">canny_edge_parameters</a>();</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span> <span class="comment"></span></div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span> <span class="comment">/** Helper function to fill the Lut random by a ILutAccessor.</span></div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span> <span class="comment"> *</span></div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> <span class="comment"> * @param[in,out] table Accessor at the Lut.</span></div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span> <span class="comment"> *</span></div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> <span class="comment"> */</span></div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00169"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6863b79e39e54f7770d759546fb54f1f"> 169</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6863b79e39e54f7770d759546fb54f1f">fill_lookuptable</a>(T &&table)</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> {</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  std::mt19937 generator(<a class="code" href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">library</a>->seed());</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  std::uniform_int_distribution<typename T::value_type> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a756aeab6b5c217b924c3cc70222c975d">distribution</a>(std::numeric_limits<typename T::value_type>::min(), std::numeric_limits<typename T::value_type>::max());</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span> </div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> i = std::numeric_limits<typename T::value_type>::min(); i <= std::numeric_limits<typename T::value_type>::max(); i++)</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  {</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  table[i] = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a756aeab6b5c217b924c3cc70222c975d">distribution</a>(generator);</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  }</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span> }</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span> <span class="comment"></span></div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span> <span class="comment">/** Convert an asymmetric quantized simple tensor into float using tensor quantization information.</span></div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span> <span class="comment"> *</span></div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span> <span class="comment"> * @param[in] src Quantized tensor.</span></div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span> <span class="comment"> *</span></div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> <span class="comment"> * @return Float tensor.</span></div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span> <span class="comment"> */</span></div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<float></a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a07000b60b919e8d30b8f1a6411a0fe7d">convert_from_asymmetric</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<T></a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>);</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span> <span class="comment"></span></div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span> <span class="comment">/** Convert float simple tensor into quantized using specified quantization information.</span></div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span> <span class="comment"> *</span></div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span> <span class="comment"> * @param[in] src Float tensor.</span></div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span> <span class="comment"> * @param[in] quantization_info Quantification information.</span></div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span> <span class="comment"> *</span></div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span> <span class="comment"> * @return Quantized tensor.</span></div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> <span class="comment"> */</span></div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<T></a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a9903e160135a0ed3e9a241263e3494c9">convert_to_asymmetric</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<float></a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> &quantization_info);</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span> <span class="comment"></span></div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span> <span class="comment">/** Convert quantized simple tensor into float using tensor quantization information.</span></div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span> <span class="comment"> *</span></div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span> <span class="comment"> * @param[in] src Quantized tensor.</span></div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span> <span class="comment"> *</span></div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span> <span class="comment"> * @return Float tensor.</span></div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span> <span class="comment"> */</span></div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<float></a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a07dd201dc80490616bfe2d3f02c34b88">convert_from_symmetric</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<T></a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>);</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span> <span class="comment"></span></div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span> <span class="comment">/** Convert float simple tensor into quantized using specified quantization information.</span></div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span> <span class="comment"> *</span></div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span> <span class="comment"> * @param[in] src Float tensor.</span></div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span> <span class="comment"> * @param[in] quantization_info Quantification information.</span></div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span> <span class="comment"> *</span></div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span> <span class="comment"> * @return Quantized tensor.</span></div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span> <span class="comment"> */</span></div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<T></a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aef1e9673f1e6ab63fb71e3698884f0c4">convert_to_symmetric</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<float></a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> &quantization_info);</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span> <span class="comment"></span></div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span> <span class="comment">/** Matrix multiply between 2 float simple tensors</span></div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span> <span class="comment"> *</span></div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span> <span class="comment"> * @param[in] a Input tensor A</span></div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span> <span class="comment"> * @param[in] b Input tensor B</span></div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span> <span class="comment"> * @param[out] out Output tensor</span></div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span> <span class="comment"> *</span></div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span> <span class="comment"> */</span></div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span> <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<T></a> &a, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<T></a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>, <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<T></a> &out);</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span> <span class="comment"></span></div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span> <span class="comment">/** Transpose matrix</span></div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span> <span class="comment"> *</span></div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span> <span class="comment"> * @param[in] in Input tensor</span></div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span> <span class="comment"> * @param[out] out Output tensor</span></div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span> <span class="comment"> *</span></div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span> <span class="comment"> */</span></div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span> <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<T></a> &in, <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<T></a> &out);</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span> <span class="comment"></span></div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span> <span class="comment">/** Get a 2D tile from a tensor</span></div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span> <span class="comment"> *</span></div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span> <span class="comment"> * @note In case of out-of-bound reads, the tile will be filled with zeros</span></div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span> <span class="comment"> *</span></div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span> <span class="comment"> * @param[in] in Input tensor</span></div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span> <span class="comment"> * @param[out] tile Tile</span></div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span> <span class="comment"> * @param[in] coord Coordinates</span></div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span> <span class="comment"> */</span></div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span> <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<T></a> &in, <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<T></a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a3744347976f5c2cb8f3ecd016a588454">tile</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &coord);</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span> <span class="comment"></span></div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span> <span class="comment">/** Fill with zeros the input tensor in the area defined by anchor and shape</span></div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span> <span class="comment"> *</span></div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span> <span class="comment"> * @param[in] in Input tensor to fill with zeros</span></div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span> <span class="comment"> * @param[out] anchor Starting point of the zeros area</span></div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span> <span class="comment"> * @param[in] shape Ending point of the zeros area</span></div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span> <span class="comment"> */</span></div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span> <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<T></a> &in, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &anchor, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>);</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span> <span class="comment"></span></div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span> <span class="comment">/** Helper function to compute quantized min and max bounds</span></div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span> <span class="comment"> *</span></div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span> <span class="comment"> * @param[in] quant_info Quantization info to be used for conversion</span></div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span> <span class="comment"> * @param[in] min Floating point minimum value to be quantized</span></div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span> <span class="comment"> * @param[in] max Floating point maximum value to be quantized</span></div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span> <span class="comment"> */</span></div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span> std::pair<int, int> <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="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> &quant_info, <span class="keywordtype">float</span> min, <span class="keywordtype">float</span> max);</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span> <span class="comment"></span></div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span> <span class="comment">/** Helper function to compute asymmetric quantized signed min and max bounds</span></div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span> <span class="comment"> *</span></div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span> <span class="comment"> * @param[in] quant_info Quantization info to be used for conversion</span></div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span> <span class="comment"> * @param[in] min Floating point minimum value to be quantized</span></div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span> <span class="comment"> * @param[in] max Floating point maximum value to be quantized</span></div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span> <span class="comment"> */</span></div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span> std::pair<int, int> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3f8bde11d609cd616779df8f1ad7a2ec">get_quantized_qasymm8_signed_bounds</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> &quant_info, <span class="keywordtype">float</span> min, <span class="keywordtype">float</span> max);</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span> <span class="comment"></span></div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span> <span class="comment">/** Helper function to compute symmetric quantized min and max bounds</span></div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span> <span class="comment"> *</span></div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span> <span class="comment"> * @param[in] quant_info Quantization info to be used for conversion</span></div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span> <span class="comment"> * @param[in] min Floating point minimum value to be quantized</span></div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span> <span class="comment"> * @param[in] max Floating point maximum value to be quantized</span></div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span> <span class="comment"> * @param[in] channel_id Channel id for per channel quantization info.</span></div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span> <span class="comment"> */</span></div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span> std::pair<int, int> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7075ff9f78b0d90bbe428f1406d669b">get_symm_quantized_per_channel_bounds</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> &quant_info, <span class="keywordtype">float</span> min, <span class="keywordtype">float</span> max, <span class="keywordtype">size_t</span> channel_id = 0);</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span> } <span class="comment">// namespace validation</span></div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span> } <span class="comment">// namespace test</span></div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span> } <span class="comment">// namespace arm_compute</span></div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span> <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#l00095">Helpers.cpp:95</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_absolute_difference_8cpp_source.xhtml#l00097">AbsoluteDifference.cpp:97</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< int, int > get_quantized_bounds(const QuantizationInfo &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#l00348">Helpers.cpp:348</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="structarm__compute_1_1test_1_1validation_1_1_canny_edge_parameters_xhtml_aec0ef8f2d1abc038d2bb568cff1a8d9e"><div class="ttname"><a href="structarm__compute_1_1test_1_1validation_1_1_canny_edge_parameters.xhtml#aec0ef8f2d1abc038d2bb568cff1a8d9e">arm_compute::test::validation::CannyEdgeParameters::lower_thresh</a></div><div class="ttdeci">int32_t lower_thresh</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_helpers_8h_source.xhtml#l00156">Helpers.h:156</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters_xhtml_a376acef8954eadc70f4b55e8e0588e13"><div class="ttname"><a href="structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters.xhtml#a376acef8954eadc70f4b55e8e0588e13">arm_compute::test::validation::HarrisCornersParameters::threshold</a></div><div class="ttdeci">float threshold</div><div class="ttdoc">Threshold.</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_helpers_8h_source.xhtml#l00143">Helpers.h:143</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_aa76b4a6e74940dabc5b7fc6b2dab3545"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">arm_compute::test::validation::b</a></div><div class="ttdeci">SimpleTensor< float > b</div><div class="ttdef"><b>Definition:</b> <a href="_c_p_p_2_d_f_t_8cpp_source.xhtml#l00157">DFT.cpp:157</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a7cf8d8b669b8f7b05680230be30d60f4"><div class="ttname"><a href="_error_8h.xhtml#a7cf8d8b669b8f7b05680230be30d60f4">ARM_COMPUTE_ERROR</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR(msg)</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#l00352">Error.h:352</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< T > &in, const Coordinates &anchor, const TensorShape &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#l00321">Helpers.cpp:321</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#l00045">Types.h:45</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_a07000b60b919e8d30b8f1a6411a0fe7d"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a07000b60b919e8d30b8f1a6411a0fe7d">arm_compute::test::validation::convert_from_asymmetric</a></div><div class="ttdeci">SimpleTensor< float > convert_from_asymmetric(const SimpleTensor< uint8_t > &src)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_helpers_8cpp_source.xhtml#l00112">Helpers.cpp:112</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< T > &in, SimpleTensor< T > &out)</div><div class="ttdoc">Transpose matrix.</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_helpers_8cpp_source.xhtml#l00242">Helpers.cpp:242</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) 2017-2020 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#l01619">Types.h:1619</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="_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="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="classarm__compute_1_1_quantization_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_quantization_info.xhtml">arm_compute::QuantizationInfo</a></div><div class="ttdoc">Quantization information.</div><div class="ttdef"><b>Definition:</b> <a href="_quantization_info_8h_source.xhtml#l00069">QuantizationInfo.h:69</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters_xhtml_adbc7a7f2ed8211ad938edc9e795fbb6f"><div class="ttname"><a href="structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters.xhtml#adbc7a7f2ed8211ad938edc9e795fbb6f">arm_compute::test::validation::HarrisCornersParameters::constant_border_value</a></div><div class="ttdeci">uint8_t constant_border_value</div><div class="ttdoc">Border value.</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_helpers_8h_source.xhtml#l00146">Helpers.h:146</a></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="structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters_xhtml_ac518d2e94791ccc6f84de95271e52c76"><div class="ttname"><a href="structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters.xhtml#ac518d2e94791ccc6f84de95271e52c76">arm_compute::test::validation::HarrisCornersParameters::sensitivity</a></div><div class="ttdeci">float sensitivity</div><div class="ttdoc">Sensitivity.</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_helpers_8h_source.xhtml#l00144">Helpers.h:144</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#l00153">Helpers.h:153</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< AssetsLibrary > library</div><div class="ttdef"><b>Definition:</b> <a href="main_8cpp_source.xhtml#l00077">main.cpp:77</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters_xhtml_aa464047f090200f942a1e47c29fff783"><div class="ttname"><a href="structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters.xhtml#aa464047f090200f942a1e47c29fff783">arm_compute::test::validation::HarrisCornersParameters::min_dist</a></div><div class="ttdeci">float min_dist</div><div class="ttdoc">Minimum distance.</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_helpers_8h_source.xhtml#l00145">Helpers.h:145</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="namespacearm__compute_1_1test_1_1validation_xhtml_a756aeab6b5c217b924c3cc70222c975d"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a756aeab6b5c217b924c3cc70222c975d">arm_compute::test::validation::distribution</a></div><div class="ttdeci">std::uniform_real_distribution< float > distribution(-5.f, 5.f)</div></div> |
| <div class="ttc" id="structarm__compute_1_1test_1_1validation_1_1_canny_edge_parameters_xhtml_ab8a8d1ea5336156261d2fa39d65bd3f3"><div class="ttname"><a href="structarm__compute_1_1test_1_1validation_1_1_canny_edge_parameters.xhtml#ab8a8d1ea5336156261d2fa39d65bd3f3">arm_compute::test::validation::CannyEdgeParameters::upper_thresh</a></div><div class="ttdeci">int32_t upper_thresh</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_helpers_8h_source.xhtml#l00155">Helpers.h:155</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#l00077">Helpers.cpp:77</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_a3744347976f5c2cb8f3ecd016a588454"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a3744347976f5c2cb8f3ecd016a588454">arm_compute::test::validation::reference::tile</a></div><div class="ttdeci">SimpleTensor< T > tile(const SimpleTensor< T > &src, const Multiples &multiples)</div><div class="ttdef"><b>Definition:</b> <a href="reference_2_tile_8cpp_source.xhtml#l00038">Tile.cpp:38</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_aa401e451095ed01dd78f1ae8c026eb6e"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#aa401e451095ed01dd78f1ae8c026eb6e">arm_compute::test::validation::calculate_depth_concatenate_shape</a></div><div class="ttdeci">TensorShape calculate_depth_concatenate_shape(const std::vector< TensorShape > &input_shapes)</div><div class="ttdoc">Calculate output tensor shape give a vector of input tensor to concatenate.</div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a9903e160135a0ed3e9a241263e3494c9"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a9903e160135a0ed3e9a241263e3494c9">arm_compute::test::validation::convert_to_asymmetric</a></div><div class="ttdeci">SimpleTensor< uint8_t > convert_to_asymmetric(const SimpleTensor< float > &src, const QuantizationInfo &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#l00151">Helpers.cpp:151</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#l00141">Helpers.h:141</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_aef1e9673f1e6ab63fb71e3698884f0c4"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#aef1e9673f1e6ab63fb71e3698884f0c4">arm_compute::test::validation::convert_to_symmetric</a></div><div class="ttdeci">SimpleTensor< int16_t > convert_to_symmetric(const SimpleTensor< float > &src, const QuantizationInfo &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#l00190">Helpers.cpp:190</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_a3f8bde11d609cd616779df8f1ad7a2ec"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a3f8bde11d609cd616779df8f1ad7a2ec">arm_compute::test::validation::get_quantized_qasymm8_signed_bounds</a></div><div class="ttdeci">std::pair< int, int > get_quantized_qasymm8_signed_bounds(const QuantizationInfo &quant_info, float min, float max)</div><div class="ttdoc">Helper function to compute asymmetric quantized signed min and max bounds.</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_helpers_8cpp_source.xhtml#l00357">Helpers.cpp:357</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_accc088009d44c521706aa98d6387ee21"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#accc088009d44c521706aa98d6387ee21">arm_compute::test::validation::axis</a></div><div class="ttdeci">axis</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_stack_layer_8cpp_source.xhtml#l00226">StackLayer.cpp:226</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 &&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#l00169">Helpers.h:169</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< T > &in, SimpleTensor< T > &tile, const Coordinates &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#l00261">Helpers.cpp:261</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="structarm__compute_1_1test_1_1validation_1_1_canny_edge_parameters_xhtml_adbc7a7f2ed8211ad938edc9e795fbb6f"><div class="ttname"><a href="structarm__compute_1_1test_1_1validation_1_1_canny_edge_parameters.xhtml#adbc7a7f2ed8211ad938edc9e795fbb6f">arm_compute::test::validation::CannyEdgeParameters::constant_border_value</a></div><div class="ttdeci">uint8_t constant_border_value</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_helpers_8h_source.xhtml#l00157">Helpers.h:157</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ae7075ff9f78b0d90bbe428f1406d669b"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7075ff9f78b0d90bbe428f1406d669b">arm_compute::test::validation::get_symm_quantized_per_channel_bounds</a></div><div class="ttdeci">std::pair< int, int > get_symm_quantized_per_channel_bounds(const QuantizationInfo &quant_info, float min, float max, size_t channel_id)</div><div class="ttdoc">Helper function to compute symmetric quantized min and max bounds.</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_helpers_8cpp_source.xhtml#l00366">Helpers.cpp:366</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< T, T > 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="namespacearm__compute_1_1test_1_1validation_xhtml_a871322e9858290606dadc4f22b2f7013"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a871322e9858290606dadc4f22b2f7013">arm_compute::test::validation::calculate_concatenate_shape</a></div><div class="ttdeci">TensorShape calculate_concatenate_shape(const std::vector< TensorShape > &input_shapes, size_t axis)</div><div class="ttdoc">Calculate output tensor shape for the concatenate operation along a given axis.</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="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< T > &a, const SimpleTensor< T > &b, SimpleTensor< T > &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#l00216">Helpers.cpp:216</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a5f5b6c4337eac9e2e0046ca2304d80dc"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a5f5b6c4337eac9e2e0046ca2304d80dc">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_addition_8cpp_source.xhtml#l00138">ArithmeticAddition.cpp:138</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#l00075">Types.h:75</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#l00478">Types.h:478</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a07dd201dc80490616bfe2d3f02c34b88"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a07dd201dc80490616bfe2d3f02c34b88">arm_compute::test::validation::convert_from_symmetric</a></div><div class="ttdeci">SimpleTensor< float > convert_from_symmetric(const SimpleTensor< int16_t > &src)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_helpers_8cpp_source.xhtml#l00203">Helpers.cpp:203</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a989ab3e96426615bb98e04e0235088ca"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">arm_compute::test::validation::src</a></div><div class="ttdeci">cast configure & src</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_cast_8cpp_source.xhtml#l00169">Cast.cpp:169</a></div></div> |
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