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| Jenkins | 52ba29e | 2018-08-29 15:32:11 +0000 | [diff] [blame^] | 120 | <a href="_helpers_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Copyright (c) 2017-2018 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">#include "<a class="code" href="tests_2validation_2_helpers_8h.xhtml">tests/validation/Helpers.h</a>"</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> </div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include <algorithm></span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include <cmath></span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> {</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="keyword">namespace </span>test</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="keyword">namespace </span>validation</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> {</div><div class="line"><a name="l00035"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a131ea3f96ddd20058d2f866a012f1416"> 35</a></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="l00036"></a><span class="lineno"> 36</span> {</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> v = 0;</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  std::mt19937 gen(<a class="code" href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">library</a>->seed());</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  std::bernoulli_distribution dist(0.5);</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="keywordflow">for</span>(<span class="keywordtype">int</span> r = 0; r < rows; ++r)</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="keywordflow">for</span>(<span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a497347573faa3778743ddf277f861094">c</a> = 0; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a497347573faa3778743ddf277f861094">c</a> < cols; ++<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a497347573faa3778743ddf277f861094">c</a>, ++v)</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  {</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  uint8_t val = 0;</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>  <span class="keywordflow">switch</span>(pattern)</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  {</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#afdda916edc7502967bbec17ea3c06c02ae657cce1913c857166b0475f18668ef5">MatrixPattern::BOX</a>:</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  val = 255;</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#afdda916edc7502967bbec17ea3c06c02a04dd53a8e6c2306e9bbf944c1d6047f2">MatrixPattern::CROSS</a>:</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  val = ((r == (rows / 2)) || (<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a497347573faa3778743ddf277f861094">c</a> == (cols / 2))) ? 255 : 0;</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#afdda916edc7502967bbec17ea3c06c02a290d4b81f4e2b47d86fd1b0170e9aab7">MatrixPattern::DISK</a>:</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  val = (((r - rows / 2.0f + 0.5f) * (r - rows / 2.0f + 0.5f)) / ((rows / 2.0f) * (rows / 2.0f)) + ((<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a497347573faa3778743ddf277f861094">c</a> - cols / 2.0f + 0.5f) * (<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a497347573faa3778743ddf277f861094">c</a> - cols / 2.0f + 0.5f)) / ((cols / 2.0f) *</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  (cols / 2.0f))) <= 1.0f ? 255 : 0;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#afdda916edc7502967bbec17ea3c06c02a03570470bad94692ce93e32700d2e1cb">MatrixPattern::OTHER</a>:</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  val = (dist(gen) ? 0 : 255);</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordflow">return</span>;</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> </div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  mask[v] = val;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  }</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> </div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordflow">if</span>(pattern == <a class="code" href="namespacearm__compute.xhtml#afdda916edc7502967bbec17ea3c06c02a03570470bad94692ce93e32700d2e1cb">MatrixPattern::OTHER</a>)</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  {</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  std::uniform_int_distribution<uint8_t> distribution_u8(0, ((cols * rows) - 1));</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  mask[distribution_u8(gen)] = 255;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  }</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> }</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> </div><div class="line"><a name="l00077"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#adb95f9d6a10468f65e49ee944ce727d7"> 77</a></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#adb95f9d6a10468f65e49ee944ce727d7">calculate_depth_concatenate_shape</a>(<span class="keyword">const</span> std::vector<TensorShape> &input_shapes)</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> {</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input_shapes.empty());</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> </div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> out_shape = input_shapes[0];</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> </div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keywordtype">size_t</span> max_x = 0;</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keywordtype">size_t</span> max_y = 0;</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keywordtype">size_t</span> depth = 0;</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> </div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keywordflow">for</span>(<span class="keyword">const</span> <span class="keyword">auto</span> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a> : input_shapes)</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  {</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  max_x = std::max(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>.x(), max_x);</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  max_y = std::max(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>.y(), max_y);</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  depth += <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>.z();</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> </div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  out_shape.set(0, max_x);</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  out_shape.set(1, max_y);</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  out_shape.set(2, depth);</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> </div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keywordflow">return</span> out_shape;</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> }</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> </div><div class="line"><a name="l00101"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8699515548dd02392dce1e359767408c"> 101</a></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#a8699515548dd02392dce1e359767408c">calculate_width_concatenate_shape</a>(<span class="keyword">const</span> std::vector<TensorShape> &input_shapes)</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> {</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(input_shapes.empty());</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> </div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> out_shape = input_shapes[0];</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> </div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keywordtype">int</span> width = <a class="code" href="accumulate_8cl.xhtml#a00e540076dd545ad59ac7482f8cdf514">std::accumulate</a>(input_shapes.begin(), input_shapes.end(), 0, [](<span class="keywordtype">int</span> <a class="code" href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a>, <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="l00108"></a><span class="lineno"> 108</span>  {</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keywordflow">return</span> sum + <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>.x();</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>  out_shape.set(0, width);</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="keywordflow">return</span> out_shape;</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> }</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> </div><div class="line"><a name="l00116"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad03c1c39d75226aecd5acd8e3959b02a"> 116</a></span> <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="l00117"></a><span class="lineno"> 117</span> {</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <a class="code" href="structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters.xhtml">HarrisCornersParameters</a> params;</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> </div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  std::mt19937 gen(<a class="code" href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">library</a>->seed());</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  std::uniform_real_distribution<float> threshold_dist(0.f, 0.001f);</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  std::uniform_real_distribution<float> sensitivity(0.04f, 0.15f);</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  std::uniform_real_distribution<float> euclidean_distance(0.f, 30.f);</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  std::uniform_int_distribution<uint8_t> int_dist(0, 255);</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> </div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  params.<a class="code" href="structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters.xhtml#a376acef8954eadc70f4b55e8e0588e13">threshold</a> = threshold_dist(gen);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  params.<a class="code" href="structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters.xhtml#ac518d2e94791ccc6f84de95271e52c76">sensitivity</a> = sensitivity(gen);</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  params.<a class="code" href="structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters.xhtml#aa464047f090200f942a1e47c29fff783">min_dist</a> = euclidean_distance(gen);</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  params.<a class="code" href="structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters.xhtml#adbc7a7f2ed8211ad938edc9e795fbb6f">constant_border_value</a> = int_dist(gen);</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> </div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="keywordflow">return</span> params;</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> }</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> </div><div class="line"><a name="l00134"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#abd7b375e25d1b41ff9da321024c829ce"> 134</a></span> <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="l00135"></a><span class="lineno"> 135</span> {</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <a class="code" href="structarm__compute_1_1test_1_1validation_1_1_canny_edge_parameters.xhtml">CannyEdgeParameters</a> params;</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> </div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  std::mt19937 gen(<a class="code" href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">library</a>->seed());</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  std::uniform_int_distribution<uint8_t> int_dist(0, 255);</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  std::uniform_int_distribution<uint8_t> threshold_dist(2, 255);</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> </div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  params.<a class="code" href="structarm__compute_1_1test_1_1validation_1_1_canny_edge_parameters.xhtml#adbc7a7f2ed8211ad938edc9e795fbb6f">constant_border_value</a> = int_dist(gen);</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  params.<a class="code" href="structarm__compute_1_1test_1_1validation_1_1_canny_edge_parameters.xhtml#ab8a8d1ea5336156261d2fa39d65bd3f3">upper_thresh</a> = threshold_dist(gen); <span class="comment">// upper_threshold >= 2</span></div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  threshold_dist = std::uniform_int_distribution<uint8_t>(1, params.<a class="code" href="structarm__compute_1_1test_1_1validation_1_1_canny_edge_parameters.xhtml#ab8a8d1ea5336156261d2fa39d65bd3f3">upper_thresh</a> - 1);</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  params.<a class="code" href="structarm__compute_1_1test_1_1validation_1_1_canny_edge_parameters.xhtml#aec0ef8f2d1abc038d2bb568cff1a8d9e">lower_thresh</a> = threshold_dist(gen); <span class="comment">// lower_threshold >= 1 && lower_threshold < upper_threshold</span></div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span> </div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keywordflow">return</span> params;</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> }</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span> </div><div class="line"><a name="l00150"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab24849be91cfb00a72f7a61a7e00fdb7"> 150</a></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#ab24849be91cfb00a72f7a61a7e00fdb7">convert_from_asymmetric</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<uint8_t></a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>)</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span> {</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> &quantization_info = src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#ac74736e3863207232a23b7181c1d0f44">quantization_info</a>();</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</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#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>{ src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>(), <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>, 1, <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(), src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a5f63b63606dbbbe54474e6e970a6738c">data_layout</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"> 155</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> i = 0; i < src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">num_elements</a>(); ++i)</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  {</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>[i] = quantization_info.<a class="code" href="structarm__compute_1_1_quantization_info.xhtml#a9f956adfa6525f0edd3c702e7e5afb8f">dequantize</a>(src[i]);</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="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>;</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span> }</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span> </div><div class="line"><a name="l00162"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a291a16e64b05bdf4d08e1240d5bb286a"> 162</a></span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<uint8_t></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<float></a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>, <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> &quantization_info)</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span> {</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<uint8_t></a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>{ src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>(), <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>, 1, quantization_info };</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> i = 0; i < src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">num_elements</a>(); ++i)</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  {</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>[i] = quantization_info.quantize(src[i], <a class="code" href="namespacearm__compute.xhtml#add6426cbf2e057a195846d4ba09a50bea8c0084566b290fa9e5e429f4ae241f95">RoundingPolicy::TO_NEAREST_UP</a>);</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  }</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>;</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> }</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> </div><div class="line"><a name="l00172"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f431b100088915a77ede3e283d1bdf6"> 172</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f431b100088915a77ede3e283d1bdf6">matrix_multiply</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<float></a> &<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<float></a> &<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<float></a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af8a8a0625e7981212a0af48deb9d2a09">out</a>)</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>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(a.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[0] != b.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[1]);</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(a.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[1] != out.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[1]);</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(b.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[0] != out.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[0]);</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>  <span class="keyword">const</span> <span class="keywordtype">int</span> M = a.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[1]; <span class="comment">// Rows</span></div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> N = b.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[0]; <span class="comment">// Cols</span></div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> K = b.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[1];</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span> </div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> y = 0; y < M; ++y)</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  {</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> x = 0; x < N; ++x)</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  {</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="keywordtype">float</span> acc = 0.0f;</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> k = 0; k < K; ++k)</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  {</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  acc += a[y * K + k] * b[x + k * N];</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  }</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span> </div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  out[x + y * N] = acc;</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  }</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  }</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> }</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span> </div><div class="line"><a name="l00197"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#af07d79246ecf85a072b0d948e7142464"> 197</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af07d79246ecf85a072b0d948e7142464">transpose_matrix</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<float></a> &<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<float></a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af8a8a0625e7981212a0af48deb9d2a09">out</a>)</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span> {</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>((in.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[0] != out.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[1]) || (in.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[1] != out.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[0]));</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span> </div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> width = in.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[0];</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> height = in.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[1];</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span> </div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> y = 0; y < height; ++y)</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  {</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> x = 0; x < width; ++x)</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  {</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> val = in[x + y * width];</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span> </div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  out[x * height + y] = val;</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  }</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  }</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span> }</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</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"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab9399f3f1910e0f236cd6f4613bd4397"> 216</a></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> &<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<T></a> &tile, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &coord)</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span> {</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(tile.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>().num_dimensions() > 2);</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span> </div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> w_tile = tile.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[0];</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> h_tile = tile.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[1];</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span> </div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="comment">// Fill the tile with zeros</span></div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  std::fill(tile.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a0c52a8f0085b55d907af7210ef2069d0">data</a>() + 0, (tile.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a0c52a8f0085b55d907af7210ef2069d0">data</a>() + (w_tile * h_tile)), <span class="keyword">static_cast<</span>T<span class="keyword">></span>(0));</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span> </div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <span class="comment">// Check if with the dimensions greater than 2 we could have out-of-bound reads</span></div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> d = 2; d < <a class="code" href="classarm__compute_1_1_dimensions.xhtml#a1b67d5b720119d50faa286c774579ecc">Coordinates::num_max_dimensions</a>; ++d)</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  {</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="keywordflow">if</span>(coord[d] < 0 || coord[d] >= static_cast<int>(in.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[d]))</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  {</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"coord[d] < 0 || coord[d] >= in.shape()[d] with d >= 2"</span>);</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  }</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  }</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span> </div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <span class="comment">// Since we could have out-of-bound reads along the X and Y dimensions,</span></div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <span class="comment">// we start calculating the input address with x = 0 and y = 0</span></div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> start_coord = coord;</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  start_coord[0] = 0;</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  start_coord[1] = 0;</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span> </div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="comment">// Get input and roi pointers</span></div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="keyword">auto</span> in_ptr = <span class="keyword">static_cast<</span><span class="keyword">const </span>T *<span class="keyword">></span>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad366eaa4cf2d106037d91c30795a5c76">in</a>(start_coord));</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <span class="keyword">auto</span> roi_ptr = <span class="keyword">static_cast<</span>T *<span class="keyword">></span>(tile.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a0c52a8f0085b55d907af7210ef2069d0">data</a>());</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span> </div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> x_in_start = std::max(0, coord[0]);</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> y_in_start = std::max(0, coord[1]);</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> x_in_end = std::min(static_cast<int>(in.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[0]), coord[0] + w_tile);</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> y_in_end = std::min(static_cast<int>(in.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[1]), coord[1] + h_tile);</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span> </div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="comment">// Number of elements to copy per row</span></div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> n = x_in_end - x_in_start;</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span> </div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <span class="comment">// Starting coordinates for the ROI</span></div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> x_tile_start = coord[0] > 0 ? 0 : std::abs(coord[0]);</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> y_tile_start = coord[1] > 0 ? 0 : std::abs(coord[1]);</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span> </div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="comment">// Update input pointer</span></div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  in_ptr += x_in_start;</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  in_ptr += (y_in_start * in.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[0]);</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span> </div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="comment">// Update ROI pointer</span></div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  roi_ptr += x_tile_start;</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  roi_ptr += (y_tile_start * tile.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[0]);</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span> </div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> y = y_in_start; y < y_in_end; ++y)</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  {</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="comment">// Copy per row</span></div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad9000ce99b9ffcec5722cade36d7e757">std::copy</a>(in_ptr, in_ptr + n, roi_ptr);</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span> </div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  in_ptr += in.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[0];</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  roi_ptr += tile.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[0];</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  }</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span> }</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span> </div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00276"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#af1e0de8172e8e875f08d040d03b164a5"> 276</a></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> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad366eaa4cf2d106037d91c30795a5c76">in</a>, <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="l00277"></a><span class="lineno"> 277</span> {</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(anchor.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">num_dimensions</a>() != shape.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">num_dimensions</a>());</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(in.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>().num_dimensions() > 2);</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(shape.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">num_dimensions</a>() > 2);</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span> </div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <span class="comment">// Check if with the dimensions greater than 2 we could have out-of-bound reads</span></div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> d = 0; d < <a class="code" href="classarm__compute_1_1_dimensions.xhtml#a1b67d5b720119d50faa286c774579ecc">Coordinates::num_max_dimensions</a>; ++d)</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  {</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  <span class="keywordflow">if</span>(anchor[d] < 0 || ((anchor[d] + shape[d]) > in.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[d]))</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  {</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"anchor[d] < 0 || (anchor[d] + shape[d]) > in.shape()[d]"</span>);</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  }</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  }</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span> </div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <span class="comment">// Get input pointer</span></div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <span class="keyword">auto</span> in_ptr = <span class="keyword">static_cast<</span>T *<span class="keyword">></span>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad366eaa4cf2d106037d91c30795a5c76">in</a>(anchor[0] + anchor[1] * in.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[0]));</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span> </div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> n = in.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[0];</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span> </div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> y = 0; y < shape[1]; ++y)</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  {</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  std::fill(in_ptr, in_ptr + shape[0], 0);</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  in_ptr += n;</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  }</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span> }</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span> </div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span> <span class="keyword">template</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<float></a> &<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<float></a> &roi, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &coord);</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span> <span class="keyword">template</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<float></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="l00305"></a><span class="lineno"> 305</span> } <span class="comment">// namespace validation</span></div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span> } <span class="comment">// namespace test</span></div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span> } <span class="comment">// namespace arm_compute</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="_helpers_8cpp_source.xhtml#l00134">Helpers.cpp:134</a></div></div> |
| 121 | <div class="ttc" id="_error_8h_xhtml_a05b19c75afe9c24200a62b9724734bbd"><div class="ttname"><a href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR(...)</div><div class="ttdoc">Print the given message then throw an std::runtime_error. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00261">Error.h:261</a></div></div> |
| 122 | <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> |
| Anthony Barbier | 06ea048 | 2018-02-22 15:45:35 +0000 | [diff] [blame] | 123 | <div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml">arm_compute::TensorShape</a></div><div class="ttdoc">Shape of a tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00039">TensorShape.h:39</a></div></div> |
| Jenkins | 52ba29e | 2018-08-29 15:32:11 +0000 | [diff] [blame^] | 124 | <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#l00155">Helpers.h:155</a></div></div> |
| 125 | <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#l00142">Helpers.h:142</a></div></div> |
| Jenkins | b3a371b | 2018-05-23 11:36:53 +0100 | [diff] [blame] | 126 | <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a131ea3f96ddd20058d2f866a012f1416"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a131ea3f96ddd20058d2f866a012f1416">arm_compute::test::validation::fill_mask_from_pattern</a></div><div class="ttdeci">void fill_mask_from_pattern(uint8_t *mask, int cols, int rows, MatrixPattern pattern)</div><div class="ttdoc">Fill mask with the corresponding given pattern. </div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8cpp_source.xhtml#l00035">Helpers.cpp:35</a></div></div> |
| Anthony Barbier | 8140e1e | 2017-12-14 23:48:46 +0000 | [diff] [blame] | 127 | <div class="ttc" id="namespacearm__compute_xhtml_add6426cbf2e057a195846d4ba09a50bea8c0084566b290fa9e5e429f4ae241f95"><div class="ttname"><a href="namespacearm__compute.xhtml#add6426cbf2e057a195846d4ba09a50bea8c0084566b290fa9e5e429f4ae241f95">arm_compute::RoundingPolicy::TO_NEAREST_UP</a></div><div class="ttdoc">Rounds to nearest value; half rounds away from zero. </div></div> |
| Jenkins | 52ba29e | 2018-08-29 15:32:11 +0000 | [diff] [blame^] | 128 | <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a8f431b100088915a77ede3e283d1bdf6"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a8f431b100088915a77ede3e283d1bdf6">arm_compute::test::validation::matrix_multiply</a></div><div class="ttdeci">void matrix_multiply(const SimpleTensor< float > &a, const SimpleTensor< float > &b, SimpleTensor< float > &out)</div><div class="ttdoc">Matrix multiply between 2 float simple tensors. </div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8cpp_source.xhtml#l00172">Helpers.cpp:172</a></div></div> |
| 129 | <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_aac40b7097f2bda9274ae07fa33d15a79"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#aac40b7097f2bda9274ae07fa33d15a79">arm_compute::test::validation::a</a></div><div class="ttdeci">gemm configure & 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> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame] | 130 | <div class="ttc" id="namespacearm__compute_xhtml_afdda916edc7502967bbec17ea3c06c02a290d4b81f4e2b47d86fd1b0170e9aab7"><div class="ttname"><a href="namespacearm__compute.xhtml#afdda916edc7502967bbec17ea3c06c02a290d4b81f4e2b47d86fd1b0170e9aab7">arm_compute::MatrixPattern::DISK</a></div><div class="ttdoc">Disk pattern matrix. </div></div> |
| Jenkins | b3a371b | 2018-05-23 11:36:53 +0100 | [diff] [blame] | 131 | <div class="ttc" id="reduction__operation_8cl_xhtml_ab0df00f5333da51860deb93deb44a782"><div class="ttname"><a href="reduction__operation_8cl.xhtml#ab0df00f5333da51860deb93deb44a782">sum</a></div><div class="ttdeci">DATA_TYPE sum(__global const DATA_TYPE *input)</div><div class="ttdoc">Calculate sum of a vector. </div><div class="ttdef"><b>Definition:</b> <a href="reduction__operation_8cl_source.xhtml#l00052">reduction_operation.cl:52</a></div></div> |
| Jenkins | 52ba29e | 2018-08-29 15:32:11 +0000 | [diff] [blame^] | 132 | <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="_helpers_8cpp_source.xhtml#l00276">Helpers.cpp:276</a></div></div> |
| Anthony Barbier | 8140e1e | 2017-12-14 23:48:46 +0000 | [diff] [blame] | 133 | <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> |
| Jenkins | 52ba29e | 2018-08-29 15:32:11 +0000 | [diff] [blame^] | 134 | <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#l00241">Winograd.cpp:241</a></div></div> |
| 135 | <div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00337">Error.h:337</a></div></div> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame] | 136 | <div class="ttc" id="tests_2validation_2_helpers_8h_xhtml"><div class="ttname"><a href="tests_2validation_2_helpers_8h.xhtml">Helpers.h</a></div></div> |
| Jenkins | 52ba29e | 2018-08-29 15:32:11 +0000 | [diff] [blame^] | 137 | <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_aba5871b3e4a65d057ec1c28fce8b00ba"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">arm_compute::test::SimpleTensor::shape</a></div><div class="ttdeci">TensorShape shape() const override</div><div class="ttdoc">Shape of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00282">SimpleTensor.h:282</a></div></div> |
| Jenkins | b3a371b | 2018-05-23 11:36:53 +0100 | [diff] [blame] | 138 | <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_ad9000ce99b9ffcec5722cade36d7e757"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ad9000ce99b9ffcec5722cade36d7e757">arm_compute::test::validation::reference::copy</a></div><div class="ttdeci">SimpleTensor< T > copy(const SimpleTensor< T > &src, const TensorShape &output_shape)</div><div class="ttdef"><b>Definition:</b> <a href="reference_2_copy_8cpp_source.xhtml#l00037">Copy.cpp:37</a></div></div> |
| 139 | <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< TensorShape > &input_shapes)</div><div class="ttdoc">Calculate output tensor shape give a vector of input tensor to concatenate. </div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8cpp_source.xhtml#l00077">Helpers.cpp:77</a></div></div> |
| Jenkins | c3f34a4 | 2018-03-02 12:38:09 +0000 | [diff] [blame] | 140 | <div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">This file contains all available output stages for GEMMLowp on OpenCL. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00001">00_introduction.dox:1</a></div></div> |
| Jenkins | b3a371b | 2018-05-23 11:36:53 +0100 | [diff] [blame] | 141 | <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< TensorShape > &input_shapes)</div><div class="ttdoc">Calculate output tensor shape give a vector of input tensor to concatenate. </div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8cpp_source.xhtml#l00101">Helpers.cpp:101</a></div></div> |
| Jenkins | 52ba29e | 2018-08-29 15:32:11 +0000 | [diff] [blame^] | 142 | <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#l00145">Helpers.h:145</a></div></div> |
| 143 | <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a291a16e64b05bdf4d08e1240d5bb286a"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a291a16e64b05bdf4d08e1240d5bb286a">arm_compute::test::validation::convert_to_asymmetric</a></div><div class="ttdeci">SimpleTensor< 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="_helpers_8cpp_source.xhtml#l00162">Helpers.cpp:162</a></div></div> |
| 144 | <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#l00143">Helpers.h:143</a></div></div> |
| 145 | <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> |
| 146 | <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_a0c52a8f0085b55d907af7210ef2069d0"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a0c52a8f0085b55d907af7210ef2069d0">arm_compute::test::SimpleTensor::data</a></div><div class="ttdeci">const T * data() const </div><div class="ttdoc">Constant pointer to the underlying buffer. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00380">SimpleTensor.h:380</a></div></div> |
| 147 | <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#l00072">main.cpp:72</a></div></div> |
| Jenkins | b3a371b | 2018-05-23 11:36:53 +0100 | [diff] [blame] | 148 | <div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">arm_compute::DataType::QASYMM8</a></div><div class="ttdoc">quantized, asymmetric fixed-point 8-bit number </div></div> |
| Jenkins | 52ba29e | 2018-08-29 15:32:11 +0000 | [diff] [blame^] | 149 | <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#l00144">Helpers.h:144</a></div></div> |
| 150 | <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#l00242">Winograd.cpp:242</a></div></div> |
| Jenkins | b3a371b | 2018-05-23 11:36:53 +0100 | [diff] [blame] | 151 | <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> |
| Jenkins | 52ba29e | 2018-08-29 15:32:11 +0000 | [diff] [blame^] | 152 | <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_a5f63b63606dbbbe54474e6e970a6738c"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a5f63b63606dbbbe54474e6e970a6738c">arm_compute::test::SimpleTensor::data_layout</a></div><div class="ttdeci">DataLayout data_layout() const override</div><div class="ttdoc">Data layout of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00313">SimpleTensor.h:313</a></div></div> |
| 153 | <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_adbf67dcee294e673cf796f1ed8aeb6a4"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">arm_compute::test::validation::dst</a></div><div class="ttdeci">CLTensor dst</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_arithmetic_division_8cpp_source.xhtml#l00100">ArithmeticDivision.cpp:100</a></div></div> |
| 154 | <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#l00154">Helpers.h:154</a></div></div> |
| Jenkins | b3a371b | 2018-05-23 11:36:53 +0100 | [diff] [blame] | 155 | <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ad03c1c39d75226aecd5acd8e3959b02a"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ad03c1c39d75226aecd5acd8e3959b02a">arm_compute::test::validation::harris_corners_parameters</a></div><div class="ttdeci">HarrisCornersParameters harris_corners_parameters()</div><div class="ttdoc">Generate parameters for Harris Corners algorithm. </div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8cpp_source.xhtml#l00116">Helpers.cpp:116</a></div></div> |
| Jenkins | 52ba29e | 2018-08-29 15:32:11 +0000 | [diff] [blame^] | 156 | <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> |
| Jenkins | b3a371b | 2018-05-23 11:36:53 +0100 | [diff] [blame] | 157 | <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> |
| Jenkins | 52ba29e | 2018-08-29 15:32:11 +0000 | [diff] [blame^] | 158 | <div class="ttc" id="structarm__compute_1_1_quantization_info_xhtml_a9f956adfa6525f0edd3c702e7e5afb8f"><div class="ttname"><a href="structarm__compute_1_1_quantization_info.xhtml#a9f956adfa6525f0edd3c702e7e5afb8f">arm_compute::QuantizationInfo::dequantize</a></div><div class="ttdeci">float dequantize(qasymm8_t value) const </div><div class="ttdoc">Dequantizes a value using the scale/offset in this QuantizationInfo. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00187">Types.h:187</a></div></div> |
| 159 | <div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a0f59f175e7682c7ed5f4ea30ef687834"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">arm_compute::Dimensions::num_dimensions</a></div><div class="ttdeci">unsigned int num_dimensions() const </div><div class="ttdoc">Returns the effective dimensionality of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00122">Dimensions.h:122</a></div></div> |
| 160 | <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="_helpers_8cpp_source.xhtml#l00216">Helpers.cpp:216</a></div></div> |
| 161 | <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< float > convert_from_asymmetric(const SimpleTensor< uint8_t > &src)</div><div class="ttdoc">Convert quantized simple tensor into float using tensor quantization information. ...</div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8cpp_source.xhtml#l00150">Helpers.cpp:150</a></div></div> |
| 162 | <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#l00156">Helpers.h:156</a></div></div> |
| 163 | <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_aedcfdd4c3b92fe0d63b5463c7ad1d21e"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">arm_compute::test::SimpleTensor::num_elements</a></div><div class="ttdeci">int num_elements() const override</div><div class="ttdoc">Number of elements of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00368">SimpleTensor.h:368</a></div></div> |
| Jenkins | b3a371b | 2018-05-23 11:36:53 +0100 | [diff] [blame] | 164 | <div class="ttc" id="accumulate_8cl_xhtml_a00e540076dd545ad59ac7482f8cdf514"><div class="ttname"><a href="accumulate_8cl.xhtml#a00e540076dd545ad59ac7482f8cdf514">accumulate</a></div><div class="ttdeci">__kernel void accumulate(__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_offset_first_element_in_bytes, __global uchar *accu_ptr, uint accu_stride_x, uint accu_step_x, uint accu_stride_y, uint accu_step_y, uint accu_offset_first_element_in_bytes)</div><div class="ttdoc">This function accumulates an input image into output image. </div><div class="ttdef"><b>Definition:</b> <a href="accumulate_8cl_source.xhtml#l00041">accumulate.cl:41</a></div></div> |
| Jenkins | 52ba29e | 2018-08-29 15:32:11 +0000 | [diff] [blame^] | 165 | <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a497347573faa3778743ddf277f861094"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a497347573faa3778743ddf277f861094">arm_compute::test::validation::c</a></div><div class="ttdeci">CLTensor c</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_g_e_m_m_8cpp_source.xhtml#l00092">GEMM.cpp:92</a></div></div> |
| 166 | <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#l00124">Types.h:124</a></div></div> |
| 167 | <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_ac74736e3863207232a23b7181c1d0f44"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#ac74736e3863207232a23b7181c1d0f44">arm_compute::test::SimpleTensor::quantization_info</a></div><div class="ttdeci">QuantizationInfo quantization_info() const override</div><div class="ttdoc">Quantization info in case of asymmetric quantized type. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00294">SimpleTensor.h:294</a></div></div> |
| 168 | <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_af07d79246ecf85a072b0d948e7142464"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#af07d79246ecf85a072b0d948e7142464">arm_compute::test::validation::transpose_matrix</a></div><div class="ttdeci">void transpose_matrix(const SimpleTensor< float > &in, SimpleTensor< float > &out)</div><div class="ttdoc">Transpose matrix. </div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8cpp_source.xhtml#l00197">Helpers.cpp:197</a></div></div> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame] | 169 | <div class="ttc" id="namespacearm__compute_xhtml_afdda916edc7502967bbec17ea3c06c02ae657cce1913c857166b0475f18668ef5"><div class="ttname"><a href="namespacearm__compute.xhtml#afdda916edc7502967bbec17ea3c06c02ae657cce1913c857166b0475f18668ef5">arm_compute::MatrixPattern::BOX</a></div><div class="ttdoc">Box pattern matrix. </div></div> |
| Jenkins | b3a371b | 2018-05-23 11:36:53 +0100 | [diff] [blame] | 170 | <div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a1b67d5b720119d50faa286c774579ecc"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a1b67d5b720119d50faa286c774579ecc">arm_compute::Dimensions< int >::num_max_dimensions</a></div><div class="ttdeci">static constexpr size_t num_max_dimensions</div><div class="ttdoc">Number of dimensions the tensor has. </div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00045">Dimensions.h:45</a></div></div> |
| Jenkins | 52ba29e | 2018-08-29 15:32:11 +0000 | [diff] [blame^] | 171 | <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> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame] | 172 | <div class="ttc" id="namespacearm__compute_xhtml_afdda916edc7502967bbec17ea3c06c02a04dd53a8e6c2306e9bbf944c1d6047f2"><div class="ttname"><a href="namespacearm__compute.xhtml#afdda916edc7502967bbec17ea3c06c02a04dd53a8e6c2306e9bbf944c1d6047f2">arm_compute::MatrixPattern::CROSS</a></div><div class="ttdoc">Cross pattern matrix. </div></div> |
| Jenkins | 52ba29e | 2018-08-29 15:32:11 +0000 | [diff] [blame^] | 173 | <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#l00496">Types.h:496</a></div></div> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame] | 174 | <div class="ttc" id="namespacearm__compute_xhtml_afdda916edc7502967bbec17ea3c06c02a03570470bad94692ce93e32700d2e1cb"><div class="ttname"><a href="namespacearm__compute.xhtml#afdda916edc7502967bbec17ea3c06c02a03570470bad94692ce93e32700d2e1cb">arm_compute::MatrixPattern::OTHER</a></div><div class="ttdoc">Any other matrix pattern. </div></div> |
| Jenkins | 52ba29e | 2018-08-29 15:32:11 +0000 | [diff] [blame^] | 175 | <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 & 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> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame] | 176 | </div><!-- fragment --></div><!-- contents --> |
| 177 | </div><!-- doc-content --> |
| 178 | <!-- start footer part --> |
| 179 | <div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> |
| 180 | <ul> |
| Anthony Barbier | 8140e1e | 2017-12-14 23:48:46 +0000 | [diff] [blame] | 181 | <li class="navelem"><a class="el" href="dir_59425e443f801f1f2fd8bbe4959a3ccf.xhtml">tests</a></li><li class="navelem"><a class="el" href="dir_e7c7b16542faa38cb4655ff1750d3604.xhtml">validation</a></li><li class="navelem"><a class="el" href="_helpers_8cpp.xhtml">Helpers.cpp</a></li> |
| Jenkins | 52ba29e | 2018-08-29 15:32:11 +0000 | [diff] [blame^] | 182 | <li class="footer">Generated on Wed Aug 29 2018 15:31:35 for Compute Library by |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame] | 183 | <a href="http://www.doxygen.org/index.html"> |
| Anthony Barbier | 8140e1e | 2017-12-14 23:48:46 +0000 | [diff] [blame] | 184 | <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame] | 185 | </ul> |
| 186 | </div> |
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| 188 | </html> |