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| <a href="tests_2validation_2_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) 2017-2019 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">#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> c = 0; c < cols; ++c, ++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)) || (c == (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)) + ((c - cols / 2.0f + 0.5f) * (c - 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#ad03c1c39d75226aecd5acd8e3959b02a"> 77</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="l00078"></a><span class="lineno"> 78</span> {</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</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="l00080"></a><span class="lineno"> 80</span> </div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  std::mt19937 gen(<a class="code" href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">library</a>->seed());</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  std::uniform_real_distribution<float> threshold_dist(0.f, 0.001f);</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  std::uniform_real_distribution<float> sensitivity(0.04f, 0.15f);</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  std::uniform_real_distribution<float> euclidean_distance(0.f, 30.f);</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  std::uniform_int_distribution<uint8_t> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#afb235a6bd76fadef5b7da574ee88fe8b">int_dist</a>(0, 255);</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>  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="l00088"></a><span class="lineno"> 88</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="l00089"></a><span class="lineno"> 89</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="l00090"></a><span class="lineno"> 90</span>  params.<a class="code" href="structarm__compute_1_1test_1_1validation_1_1_harris_corners_parameters.xhtml#adbc7a7f2ed8211ad938edc9e795fbb6f">constant_border_value</a> = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#afb235a6bd76fadef5b7da574ee88fe8b">int_dist</a>(gen);</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> </div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keywordflow">return</span> params;</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> </div><div class="line"><a name="l00095"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#abd7b375e25d1b41ff9da321024c829ce"> 95</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="l00096"></a><span class="lineno"> 96</span> {</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</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="l00098"></a><span class="lineno"> 98</span> </div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  std::mt19937 gen(<a class="code" href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">library</a>->seed());</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  std::uniform_int_distribution<uint8_t> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#afb235a6bd76fadef5b7da574ee88fe8b">int_dist</a>(0, 255);</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  std::uniform_int_distribution<uint8_t> threshold_dist(2, 255);</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>  params.<a class="code" href="structarm__compute_1_1test_1_1validation_1_1_canny_edge_parameters.xhtml#adbc7a7f2ed8211ad938edc9e795fbb6f">constant_border_value</a> = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#afb235a6bd76fadef5b7da574ee88fe8b">int_dist</a>(gen);</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</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="l00105"></a><span class="lineno"> 105</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="l00106"></a><span class="lineno"> 106</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="l00107"></a><span class="lineno"> 107</span> </div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keywordflow">return</span> params;</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"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab24849be91cfb00a72f7a61a7e00fdb7"> 111</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#a989ab3e96426615bb98e04e0235088ca">src</a>)</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="keyword">const</span> <a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml">UniformQuantizationInfo</a> &quantization_info = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.quantization_info().uniform();</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</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>{ <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.shape(), <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>, 1, <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.data_layout() };</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> </div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> i = 0; i < <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.num_elements(); ++i)</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="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>[i] = <a class="code" href="namespacearm__compute.xhtml#a34725aa0412e6cc99193ceb6c8a8e439">dequantize_qasymm8</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>[i], quantization_info);</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>  <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="l00121"></a><span class="lineno"> 121</span> }</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> </div><div class="line"><a name="l00123"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae275edb2967f853808fb08c97cbf05f1"> 123</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<uint16_t></a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>)</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> {</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml">UniformQuantizationInfo</a> &quantization_info = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.quantization_info().uniform();</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</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>{ <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.shape(), <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>, 1, <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.data_layout() };</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> </div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> i = 0; i < <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.num_elements(); ++i)</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  {</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>[i] = <a class="code" href="namespacearm__compute.xhtml#a85310967abb447a1cb1167ba8f73eab0">dequantize_qasymm16</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>[i], quantization_info);</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  }</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</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="l00133"></a><span class="lineno"> 133</span> }</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> </div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> <span class="keyword">template</span> <></div><div class="line"><a name="l00136"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a08b4210abf179d6cbea4365b7d85d498"> 136</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#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="l00137"></a><span class="lineno"> 137</span> {</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</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>{ <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.shape(), <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>, 1, quantization_info };</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml">UniformQuantizationInfo</a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad85d7becf0c6e3cffbc255489808e219">qinfo</a> = quantization_info.<a class="code" href="classarm__compute_1_1_quantization_info.xhtml#a706fc156bcd4c45441bcaad05884b57d">uniform</a>();</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> </div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> i = 0; i < <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.num_elements(); ++i)</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  {</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>[i] = <a class="code" href="namespacearm__compute.xhtml#a25591070cf041aff512719050c39e5ee">quantize_qasymm8</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>[i], <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad85d7becf0c6e3cffbc255489808e219">qinfo</a>);</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  }</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</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="l00146"></a><span class="lineno"> 146</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="keyword">template</span> <></div><div class="line"><a name="l00149"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8aed8f319f99505cc79f369e88174213"> 149</a></span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<uint16_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="l00150"></a><span class="lineno"> 150</span> {</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<uint16_t></a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>{ <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.shape(), <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a3b989c6b5398b3b9538ad103a324205e">DataType::QASYMM16</a>, 1, quantization_info };</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_uniform_quantization_info.xhtml">UniformQuantizationInfo</a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad85d7becf0c6e3cffbc255489808e219">qinfo</a> = quantization_info.<a class="code" href="classarm__compute_1_1_quantization_info.xhtml#a706fc156bcd4c45441bcaad05884b57d">uniform</a>();</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span> </div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> i = 0; i < <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.num_elements(); ++i)</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  {</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>[i] = <a class="code" href="namespacearm__compute.xhtml#a3fcdebf0b2654721ecdfa39b6bbd542d">quantize_qasymm16</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>[i], <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad85d7becf0c6e3cffbc255489808e219">qinfo</a>);</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  }</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</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="l00159"></a><span class="lineno"> 159</span> }</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> <span class="keyword">template</span> <></div><div class="line"><a name="l00162"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad8f9926d24cb38c66c611ff7d157d9d2"> 162</a></span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<int16_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="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<int16_t></a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>{ <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.shape(), <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a3ca8a4ea8f992df3b462bc7b24d097c6">DataType::QSYMM16</a>, 1, quantization_info };</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml">UniformQuantizationInfo</a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad85d7becf0c6e3cffbc255489808e219">qinfo</a> = quantization_info.<a class="code" href="classarm__compute_1_1_quantization_info.xhtml#a706fc156bcd4c45441bcaad05884b57d">uniform</a>();</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>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> i = 0; i < <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.num_elements(); ++i)</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>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>[i] = <a class="code" href="namespacearm__compute.xhtml#abd9a9e4bfba3b2e6a35099618122d38e">quantize_qsymm16</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>[i], <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ad85d7becf0c6e3cffbc255489808e219">qinfo</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>  <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="l00172"></a><span class="lineno"> 172</span> }</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="keyword">template</span> <></div><div class="line"><a name="l00175"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a07dd201dc80490616bfe2d3f02c34b88"> 175</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#a07dd201dc80490616bfe2d3f02c34b88">convert_from_symmetric</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<int16_t></a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>)</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span> {</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_uniform_quantization_info.xhtml">UniformQuantizationInfo</a> &quantization_info = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.quantization_info().uniform();</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</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>{ <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.shape(), <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>, 1, <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.data_layout() };</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span> </div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> i = 0; i < <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>.num_elements(); ++i)</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>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>[i] = <a class="code" href="namespacearm__compute.xhtml#aae8583b382eaea109164f2f3e16380b1">dequantize_qsymm16</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>[i], quantization_info);</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">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>;</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> </div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00188"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a683cf9b1a237f2d8326735a1c5e881ed"> 188</a></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="l00189"></a><span class="lineno"> 189</span> {</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</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] != <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>.shape()[1]);</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</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="l00192"></a><span class="lineno"> 192</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>.shape()[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="l00193"></a><span class="lineno"> 193</span> </div><div class="line"><a name="l00194"></a><span class="lineno"> 194</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="l00195"></a><span class="lineno"> 195</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> N = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>.shape()[0]; <span class="comment">// Cols</span></div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> K = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>.shape()[1];</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span> </div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> y = 0; y < M; ++y)</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  {</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> x = 0; x < N; ++x)</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  {</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <span class="keywordtype">float</span> acc = 0.0f;</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> k = 0; k < K; ++k)</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  {</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  acc += a[y * K + k] * <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>[x + k * N];</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  }</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>  out[x + y * N] = acc;</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>  }</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> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00214"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a67a7d3407f0ab92d1c80ccd0ea8908e0"> 214</a></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="l00215"></a><span class="lineno"> 215</span> {</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</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="l00217"></a><span class="lineno"> 217</span> </div><div class="line"><a name="l00218"></a><span class="lineno"> 218</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="l00219"></a><span class="lineno"> 219</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="l00220"></a><span class="lineno"> 220</span> </div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> y = 0; y < height; ++y)</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="keywordflow">for</span>(<span class="keywordtype">int</span> x = 0; x < width; ++x)</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  {</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="keyword">const</span> T val = in[x + y * width];</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span> </div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  out[x * height + y] = val;</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>  }</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> </div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00233"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab9399f3f1910e0f236cd6f4613bd4397"> 233</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> &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="l00234"></a><span class="lineno"> 234</span> {</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a3744347976f5c2cb8f3ecd016a588454">tile</a>.shape().num_dimensions() > 2);</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span> </div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> w_tile = <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a3744347976f5c2cb8f3ecd016a588454">tile</a>.shape()[0];</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> h_tile = <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a3744347976f5c2cb8f3ecd016a588454">tile</a>.shape()[1];</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span> </div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <span class="comment">// Fill the tile with zeros</span></div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1643f4cb252152ed8ffc0df84744ad5d">std::fill</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a3744347976f5c2cb8f3ecd016a588454">tile</a>.data() + 0, (<a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a3744347976f5c2cb8f3ecd016a588454">tile</a>.data() + (w_tile * h_tile)), static_cast<T>(0));</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span> </div><div class="line"><a name="l00243"></a><span class="lineno"> 243</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="l00244"></a><span class="lineno"> 244</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="l00245"></a><span class="lineno"> 245</span>  {</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</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="l00247"></a><span class="lineno"> 247</span>  {</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <a class="code" href="_error_8h.xhtml#a7cf8d8b669b8f7b05680230be30d60f4">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="l00249"></a><span class="lineno"> 249</span>  }</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  }</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span> </div><div class="line"><a name="l00252"></a><span class="lineno"> 252</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="l00253"></a><span class="lineno"> 253</span>  <span class="comment">// we start calculating the input address with x = 0 and y = 0</span></div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> start_coord = coord;</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  start_coord[0] = 0;</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  start_coord[1] = 0;</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span> </div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="comment">// Get input and roi pointers</span></div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="keyword">auto</span> in_ptr = static_cast<const T *>(in(start_coord));</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <span class="keyword">auto</span> roi_ptr = static_cast<T *>(<a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a3744347976f5c2cb8f3ecd016a588454">tile</a>.data());</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span> </div><div class="line"><a name="l00262"></a><span class="lineno"> 262</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="l00263"></a><span class="lineno"> 263</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="l00264"></a><span class="lineno"> 264</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="l00265"></a><span class="lineno"> 265</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="l00266"></a><span class="lineno"> 266</span> </div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="comment">// Number of elements to copy per row</span></div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> n = x_in_end - x_in_start;</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>  <span class="comment">// Starting coordinates for the ROI</span></div><div class="line"><a name="l00271"></a><span class="lineno"> 271</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="l00272"></a><span class="lineno"> 272</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="l00273"></a><span class="lineno"> 273</span> </div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <span class="comment">// Update input pointer</span></div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  in_ptr += x_in_start;</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</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="l00277"></a><span class="lineno"> 277</span> </div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <span class="comment">// Update ROI pointer</span></div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  roi_ptr += x_tile_start;</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  roi_ptr += (y_tile_start * <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a3744347976f5c2cb8f3ecd016a588454">tile</a>.shape()[0]);</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="keywordflow">for</span>(<span class="keywordtype">int</span> y = y_in_start; y < y_in_end; ++y)</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  {</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  <span class="comment">// Copy per row</span></div><div class="line"><a name="l00285"></a><span class="lineno"> 285</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="l00286"></a><span class="lineno"> 286</span> </div><div class="line"><a name="l00287"></a><span class="lineno"> 287</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="l00288"></a><span class="lineno"> 288</span>  roi_ptr += <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a3744347976f5c2cb8f3ecd016a588454">tile</a>.shape()[0];</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> </div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00293"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#af1e0de8172e8e875f08d040d03b164a5"> 293</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> &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="l00294"></a><span class="lineno"> 294</span> {</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</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#a80a5f2d6e3a697c9aad893a3b4242615">num_dimensions</a>() != <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>.num_dimensions());</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</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="l00297"></a><span class="lineno"> 297</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>.num_dimensions() > 2);</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span> </div><div class="line"><a name="l00299"></a><span class="lineno"> 299</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="l00300"></a><span class="lineno"> 300</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="l00301"></a><span class="lineno"> 301</span>  {</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <span class="keywordflow">if</span>(anchor[d] < 0 || ((anchor[d] + <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>[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="l00303"></a><span class="lineno"> 303</span>  {</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <a class="code" href="_error_8h.xhtml#a7cf8d8b669b8f7b05680230be30d60f4">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"anchor[d] < 0 || (anchor[d] + shape[d]) > in.shape()[d]"</span>);</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  }</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  }</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span> </div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <span class="comment">// Get input pointer</span></div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <span class="keyword">auto</span> in_ptr = static_cast<T *>(in(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="l00310"></a><span class="lineno"> 310</span> </div><div class="line"><a name="l00311"></a><span class="lineno"> 311</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="l00312"></a><span class="lineno"> 312</span> </div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> y = 0; y < <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>[1]; ++y)</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  {</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1643f4cb252152ed8ffc0df84744ad5d">std::fill</a>(in_ptr, in_ptr + <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>[0], 0);</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  in_ptr += n;</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  }</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span> }</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span> </div><div class="line"><a name="l00320"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#a55866d648f6da2a3aaf3965bd1685868"> 320</a></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="l00321"></a><span class="lineno"> 321</span> {</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <a class="code" href="_error_8h.xhtml#a0b0eb3235749a2909dc5a101afe59a1b">ARM_COMPUTE_ERROR_ON_MSG</a>(min > max, <span class="stringliteral">"min must be lower equal than max"</span>);</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span> </div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> min_bound = <a class="code" href="namespacearm__compute.xhtml#a25591070cf041aff512719050c39e5ee">quantize_qasymm8</a>(min, quant_info.<a class="code" href="classarm__compute_1_1_quantization_info.xhtml#a706fc156bcd4c45441bcaad05884b57d">uniform</a>());</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> max_bound = <a class="code" href="namespacearm__compute.xhtml#a25591070cf041aff512719050c39e5ee">quantize_qasymm8</a>(max, quant_info.<a class="code" href="classarm__compute_1_1_quantization_info.xhtml#a706fc156bcd4c45441bcaad05884b57d">uniform</a>());</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <span class="keywordflow">return</span> std::pair<int, int> { min_bound, max_bound };</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span> }</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span> </div><div class="line"><a name="l00329"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae7075ff9f78b0d90bbe428f1406d669b"> 329</a></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)</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span> {</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <a class="code" href="_error_8h.xhtml#a0b0eb3235749a2909dc5a101afe59a1b">ARM_COMPUTE_ERROR_ON_MSG</a>(min > max, <span class="stringliteral">"min must be lower equal than max"</span>);</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span> </div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> min_bound = <a class="code" href="namespacearm__compute.xhtml#adcbb8a7cd81427846571f9bef039f953">quantize_qsymm8_per_channel</a>(min, quant_info, channel_id);</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> max_bound = <a class="code" href="namespacearm__compute.xhtml#adcbb8a7cd81427846571f9bef039f953">quantize_qsymm8_per_channel</a>(max, quant_info, channel_id);</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  <span class="keywordflow">return</span> std::pair<int, int> { min_bound, max_bound };</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span> }</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span> </div><div class="line"><a name="l00338"></a><span class="lineno"> 338</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> &in, <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="l00339"></a><span class="lineno"> 339</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<half></a> &in, <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<half></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="l00340"></a><span class="lineno"> 340</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<int></a> &in, <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<int></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="l00341"></a><span class="lineno"> 341</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<short></a> &in, <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<short></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="l00342"></a><span class="lineno"> 342</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<char></a> &in, <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<char></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="l00343"></a><span class="lineno"> 343</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="l00344"></a><span class="lineno"> 344</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<half></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="l00345"></a><span class="lineno"> 345</span> <span class="keyword">template</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<float></a> &in, <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<float></a> &out);</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span> <span class="keyword">template</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<half></a> &in, <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<half></a> &out);</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span> <span class="keyword">template</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<int></a> &in, <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<int></a> &out);</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span> <span class="keyword">template</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<short></a> &in, <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<short></a> &out);</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span> <span class="keyword">template</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<char></a> &in, <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<char></a> &out);</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span> <span class="keyword">template</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<float></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#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>, <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<float></a> &out);</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span> <span class="keyword">template</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<half></a> &a, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<half></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<half></a> &out);</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span> </div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span> } <span class="comment">// namespace validation</span></div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span> } <span class="comment">// namespace test</span></div><div class="line"><a name="l00355"></a><span class="lineno"> 355</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="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#l00320">Helpers.cpp:320</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_abd9a9e4bfba3b2e6a35099618122d38e"><div class="ttname"><a href="namespacearm__compute.xhtml#abd9a9e4bfba3b2e6a35099618122d38e">arm_compute::quantize_qsymm16</a></div><div class="ttdeci">int16_t quantize_qsymm16(float value, const UniformQuantizationInfo &qinfo, RoundingPolicy rounding_policy=RoundingPolicy::TO_NEAREST_UP)</div><div class="ttdoc">Quantize a value given a 16-bit symmetric quantization scheme.</div><div class="ttdef"><b>Definition:</b> <a href="_quantization_info_8h_source.xhtml#l00363">QuantizationInfo.h:363</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_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a3ca8a4ea8f992df3b462bc7b24d097c6"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a3ca8a4ea8f992df3b462bc7b24d097c6">arm_compute::DataType::QSYMM16</a></div><div class="ttdoc">quantized, symmetric fixed-point 16-bit number</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="namespacearm__compute_xhtml_a34725aa0412e6cc99193ceb6c8a8e439"><div class="ttname"><a href="namespacearm__compute.xhtml#a34725aa0412e6cc99193ceb6c8a8e439">arm_compute::dequantize_qasymm8</a></div><div class="ttdeci">float dequantize_qasymm8(uint8_t value, const UniformQuantizationInfo &qinfo)</div><div class="ttdoc">Dequantize a value given a 8-bit asymmetric quantization scheme.</div><div class="ttdef"><b>Definition:</b> <a href="_quantization_info_8h_source.xhtml#l00275">QuantizationInfo.h:275</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_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> |
| <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#l00293">Helpers.cpp:293</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="_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#l00466">Error.h:466</a></div></div> |
| <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> |
| <div class="ttc" id="structarm__compute_1_1_uniform_quantization_info_xhtml"><div class="ttname"><a href="structarm__compute_1_1_uniform_quantization_info.xhtml">arm_compute::UniformQuantizationInfo</a></div><div class="ttdoc">Quantization info when assuming per layer quantization.</div><div class="ttdef"><b>Definition:</b> <a href="_quantization_info_8h_source.xhtml#l00040">QuantizationInfo.h:40</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a3b989c6b5398b3b9538ad103a324205e"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a3b989c6b5398b3b9538ad103a324205e">arm_compute::DataType::QASYMM16</a></div><div class="ttdoc">quantized, asymmetric fixed-point 16-bit number</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#l00214">Helpers.cpp:214</a></div></div> |
| <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#l00321">SimpleTensor.h:321</a></div></div> |
| <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> |
| <div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">Copyright (c) 2017-2019 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="namespacearm__compute_1_1test_1_1validation_xhtml_afb235a6bd76fadef5b7da574ee88fe8b"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#afb235a6bd76fadef5b7da574ee88fe8b">arm_compute::test::validation::int_dist</a></div><div class="ttdeci">std::uniform_int_distribution< uint32_t > int_dist(0, 15)</div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a85310967abb447a1cb1167ba8f73eab0"><div class="ttname"><a href="namespacearm__compute.xhtml#a85310967abb447a1cb1167ba8f73eab0">arm_compute::dequantize_qasymm16</a></div><div class="ttdeci">float dequantize_qasymm16(uint16_t value, const UniformQuantizationInfo &qinfo)</div><div class="ttdoc">Dequantize a value given a 16-bit asymmetric quantization scheme.</div><div class="ttdef"><b>Definition:</b> <a href="_quantization_info_8h_source.xhtml#l00428">QuantizationInfo.h:428</a></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#l00067">QuantizationInfo.h:67</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="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="namespacearm__compute_1_1test_1_1validation_xhtml_a1643f4cb252152ed8ffc0df84744ad5d"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a1643f4cb252152ed8ffc0df84744ad5d">arm_compute::test::validation::fill</a></div><div class="ttdeci">library fill(src, distribution, 0)</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="namespacearm__compute_xhtml_aae8583b382eaea109164f2f3e16380b1"><div class="ttname"><a href="namespacearm__compute.xhtml#aae8583b382eaea109164f2f3e16380b1">arm_compute::dequantize_qsymm16</a></div><div class="ttdeci">float dequantize_qsymm16(int16_t value, const UniformQuantizationInfo &qinfo)</div><div class="ttdoc">Dequantize a value given a 16-bit symmetric quantization scheme.</div><div class="ttdef"><b>Definition:</b> <a href="_quantization_info_8h_source.xhtml#l00377">QuantizationInfo.h:377</a></div></div> |
| <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 unsigned</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="_error_8h_xhtml_a0b0eb3235749a2909dc5a101afe59a1b"><div class="ttname"><a href="_error_8h.xhtml#a0b0eb3235749a2909dc5a101afe59a1b">ARM_COMPUTE_ERROR_ON_MSG</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_MSG(cond, msg)</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00456">Error.h:456</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_coordinates_xhtml"><div class="ttname"><a href="classarm__compute_1_1_coordinates.xhtml">arm_compute::Coordinates</a></div><div class="ttdoc">Coordinates of an item.</div><div class="ttdef"><b>Definition:</b> <a href="_coordinates_8h_source.xhtml#l00037">Coordinates.h:37</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_quantization_info_xhtml_a706fc156bcd4c45441bcaad05884b57d"><div class="ttname"><a href="classarm__compute_1_1_quantization_info.xhtml#a706fc156bcd4c45441bcaad05884b57d">arm_compute::QuantizationInfo::uniform</a></div><div class="ttdeci">UniformQuantizationInfo uniform() const</div><div class="ttdoc">Return per layer quantization info.</div><div class="ttdef"><b>Definition:</b> <a href="_quantization_info_8h_source.xhtml#l00146">QuantizationInfo.h:146</a></div></div> |
| <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_absolute_difference_8cpp_source.xhtml#l00102">AbsoluteDifference.cpp:102</a></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="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_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#l00136">Helpers.cpp:136</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#l00162">Helpers.cpp:162</a></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_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#l00233">Helpers.cpp:233</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_adcbb8a7cd81427846571f9bef039f953"><div class="ttname"><a href="namespacearm__compute.xhtml#adcbb8a7cd81427846571f9bef039f953">arm_compute::quantize_qsymm8_per_channel</a></div><div class="ttdeci">int8_t quantize_qsymm8_per_channel(float value, const QuantizationInfo &qinfo, size_t channel_id=0)</div><div class="ttdoc">Quantize a value given a 8-bit symmetric per channel quantization scheme.</div><div class="ttdef"><b>Definition:</b> <a href="_quantization_info_8h_source.xhtml#l00261">QuantizationInfo.h:261</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ad85d7becf0c6e3cffbc255489808e219"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ad85d7becf0c6e3cffbc255489808e219">arm_compute::test::validation::qinfo</a></div><div class="ttdeci">const QuantizationInfo qinfo</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_im2_col_8cpp_source.xhtml#l00150">Im2Col.cpp:150</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a80a5f2d6e3a697c9aad893a3b4242615"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a80a5f2d6e3a697c9aad893a3b4242615">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> |
| <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 8-bit asymmetric quantized simple tensor into float using tensor quantization information.</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_helpers_8cpp_source.xhtml#l00111">Helpers.cpp:111</a></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#l00329">Helpers.cpp:329</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a683cf9b1a237f2d8326735a1c5e881ed"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a683cf9b1a237f2d8326735a1c5e881ed">arm_compute::test::validation::matrix_multiply</a></div><div class="ttdeci">void matrix_multiply(const SimpleTensor< 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#l00188">Helpers.cpp:188</a></div></div> |
| <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> |
| <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> |
| <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> |
| <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#l00477">Types.h:477</a></div></div> |
| <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> |
| <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#l00175">Helpers.cpp:175</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a3fcdebf0b2654721ecdfa39b6bbd542d"><div class="ttname"><a href="namespacearm__compute.xhtml#a3fcdebf0b2654721ecdfa39b6bbd542d">arm_compute::quantize_qasymm16</a></div><div class="ttdeci">uint16_t quantize_qasymm16(float value, const UniformQuantizationInfo &qinfo, RoundingPolicy rounding_policy=RoundingPolicy::TO_NEAREST_UP)</div><div class="ttdoc">Quantize a value given a 16-bit asymmetric quantization scheme.</div><div class="ttdef"><b>Definition:</b> <a href="_quantization_info_8h_source.xhtml#l00414">QuantizationInfo.h:414</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> |
| <div class="ttc" id="namespacearm__compute_xhtml_a25591070cf041aff512719050c39e5ee"><div class="ttname"><a href="namespacearm__compute.xhtml#a25591070cf041aff512719050c39e5ee">arm_compute::quantize_qasymm8</a></div><div class="ttdeci">uint8_t quantize_qasymm8(float value, const UniformQuantizationInfo &qinfo, RoundingPolicy rounding_policy=RoundingPolicy::TO_NEAREST_UP)</div><div class="ttdoc">Quantize a value given a 8-bit asymmetric quantization scheme.</div><div class="ttdef"><b>Definition:</b> <a href="_quantization_info_8h_source.xhtml#l00216">QuantizationInfo.h:216</a></div></div> |
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