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| author | Nikhil Raj <nikhil.raj@arm.com> | 2022-08-19 15:23:36 +0100 |
|---|---|---|
| committer | Nikhil Raj <nikhil.raj@arm.com> | 2022-08-19 15:23:36 +0100 |
| commit | 7bfd38a721360183f3392f9ab35db18a0dd7fef8 (patch) | |
| tree | 5b4da2f2e88636c939afbafa2571170297114e40 /22.08/_detection_post_process_test_impl_8hpp_source.xhtml | |
| parent | d5d43d82c0137e08553e44345c609cdd1a7931c7 (diff) | |
| download | armnn-7bfd38a721360183f3392f9ab35db18a0dd7fef8.tar.gz | |
Update Doxygen for 22.08 Release
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I4789fe868e0492839be1482e5cee3642ed90d756
Diffstat (limited to '22.08/_detection_post_process_test_impl_8hpp_source.xhtml')
| -rw-r--r-- | 22.08/_detection_post_process_test_impl_8hpp_source.xhtml | 150 |
1 files changed, 150 insertions, 0 deletions
diff --git a/22.08/_detection_post_process_test_impl_8hpp_source.xhtml b/22.08/_detection_post_process_test_impl_8hpp_source.xhtml new file mode 100644 index 0000000000..5dc66a32a5 --- /dev/null +++ b/22.08/_detection_post_process_test_impl_8hpp_source.xhtml @@ -0,0 +1,150 @@ +<!-- Copyright (c) 2020 ARM Limited. --> +<!-- --> +<!-- SPDX-License-Identifier: MIT --> +<!-- --> +<!-- HTML header for doxygen 1.8.13--> +<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> +<html xmlns="http://www.w3.org/1999/xhtml"> +<head> +<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> +<meta http-equiv="X-UA-Compatible" content="IE=9"/> +<meta name="generator" content="Doxygen 1.8.13"/> +<meta name="robots" content="NOINDEX, NOFOLLOW" /> +<meta name="viewport" content="width=device-width, initial-scale=1"/> +<title>ArmNN: src/backends/backendsCommon/test/layerTests/DetectionPostProcessTestImpl.hpp Source File</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="jquery.js"></script> +<script type="text/javascript" src="dynsections.js"></script> +<link href="navtree.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="resize.js"></script> +<script type="text/javascript" src="navtreedata.js"></script> +<script type="text/javascript" src="navtree.js"></script> +<script type="text/javascript"> + $(document).ready(initResizable); +</script> +<link href="search/search.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="search/searchdata.js"></script> +<script type="text/javascript" src="search/search.js"></script> +<script type="text/x-mathjax-config"> + MathJax.Hub.Config({ + extensions: ["tex2jax.js"], + jax: ["input/TeX","output/HTML-CSS"], +}); +</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +<link href="doxygen.css" rel="stylesheet" type="text/css" /> +<link href="stylesheet.css" rel="stylesheet" type="text/css"/> +</head> +<body> +<div id="top"><!-- do not remove this div, it is closed by doxygen! --> +<div id="titlearea"> +<table cellspacing="0" cellpadding="0"> + <tbody> + <tr style="height: 56px;"> + <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/> + <td style="padding-left: 0.5em;"> + <div id="projectname"> +  <span id="projectnumber">22.08</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.13 --> +<script type="text/javascript"> +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +$(function() { + initMenu('',true,false,'search.php','Search'); + $(document).ready(function() { init_search(); }); +}); +</script> +<div id="main-nav"></div> +</div><!-- top --> +<div id="side-nav" class="ui-resizable side-nav-resizable"> + <div id="nav-tree"> + <div id="nav-tree-contents"> + <div id="nav-sync" class="sync"></div> + </div> + </div> + <div id="splitbar" style="-moz-user-select:none;" + class="ui-resizable-handle"> + </div> +</div> +<script type="text/javascript"> +$(document).ready(function(){initNavTree('_detection_post_process_test_impl_8hpp_source.xhtml','');}); +</script> +<div id="doc-content"> +<!-- window showing the filter options --> +<div id="MSearchSelectWindow" + onmouseover="return searchBox.OnSearchSelectShow()" + onmouseout="return searchBox.OnSearchSelectHide()" + onkeydown="return searchBox.OnSearchSelectKey(event)"> +</div> + +<!-- iframe showing the search results (closed by default) --> +<div id="MSearchResultsWindow"> +<iframe src="javascript:void(0)" frameborder="0" + name="MSearchResults" id="MSearchResults"> +</iframe> +</div> + +<div class="header"> + <div class="headertitle"> +<div class="title">DetectionPostProcessTestImpl.hpp</div> </div> +</div><!--header--> +<div class="contents"> +<a href="_detection_post_process_test_impl_8hpp.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 © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> </div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include <<a class="code" href="_resolve_type_8hpp.xhtml">ResolveType.hpp</a>></span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> </div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <<a class="code" href="_types_8hpp.xhtml">armnn/Types.hpp</a>></span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> </div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="include_2armnn_2backends_2_tensor_handle_8hpp.xhtml">armnn/backends/TensorHandle.hpp</a>></span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include <<a class="code" href="_i_backend_internal_8hpp.xhtml">armnn/backends/IBackendInternal.hpp</a>></span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include <<a class="code" href="include_2armnn_2backends_2_workload_factory_8hpp.xhtml">armnn/backends/WorkloadFactory.hpp</a>></span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> </div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include <<a class="code" href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp.xhtml">armnnTestUtils/TensorCopyUtils.hpp</a>></span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="preprocessor">#include <<a class="code" href="_workload_factory_helper_8hpp.xhtml">backendsCommon/test/WorkloadFactoryHelper.hpp</a>></span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="preprocessor">#include <<a class="code" href="include_2armnn_test_utils_2_workload_test_utils_8hpp.xhtml">armnnTestUtils/WorkloadTestUtils.hpp</a>></span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> </div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="preprocessor">#include <<a class="code" href="include_2armnn_test_utils_2_tensor_helpers_8hpp.xhtml">armnnTestUtils/TensorHelpers.hpp</a>></span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> </div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="preprocessor">#include <doctest/doctest.h></span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> </div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="keyword">namespace</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</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="keyword">using</span> FloatData = std::vector<float>;</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="keyword">using</span> QuantData = std::pair<float, int32_t>;</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">struct </span>TestData</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">static</span> <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> s_BoxEncodingsShape;</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="keyword">static</span> <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> s_ScoresShape;</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="keyword">static</span> <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> s_AnchorsShape;</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> </div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="keyword">static</span> <span class="keyword">const</span> QuantData s_BoxEncodingsQuantData;</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keyword">static</span> <span class="keyword">const</span> QuantData s_ScoresQuantData;</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keyword">static</span> <span class="keyword">const</span> QuantData s_AnchorsQuantData;</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> </div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="keyword">static</span> <span class="keyword">const</span> FloatData s_BoxEncodings;</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keyword">static</span> <span class="keyword">const</span> FloatData s_Scores;</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="keyword">static</span> <span class="keyword">const</span> FloatData s_Anchors;</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> </div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="keyword">struct </span>RegularNmsExpectedResults</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> {</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keyword">static</span> <span class="keyword">const</span> FloatData s_DetectionBoxes;</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keyword">static</span> <span class="keyword">const</span> FloatData s_DetectionScores;</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keyword">static</span> <span class="keyword">const</span> FloatData s_DetectionClasses;</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keyword">static</span> <span class="keyword">const</span> FloatData s_NumDetections;</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> };</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> </div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="keyword">struct </span>FastNmsExpectedResults</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> {</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keyword">static</span> <span class="keyword">const</span> FloatData s_DetectionBoxes;</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keyword">static</span> <span class="keyword">const</span> FloatData s_DetectionScores;</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keyword">static</span> <span class="keyword">const</span> FloatData s_DetectionClasses;</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keyword">static</span> <span class="keyword">const</span> FloatData s_NumDetections;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> };</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> </div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> TestData::s_BoxEncodingsShape = { 1, 6, 4 };</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> TestData::s_ScoresShape = { 1, 6, 3 };</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> TestData::s_AnchorsShape = { 6, 4 };</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> </div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="keyword">const</span> QuantData TestData::s_BoxEncodingsQuantData = { 1.00f, 1 };</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="keyword">const</span> QuantData TestData::s_ScoresQuantData = { 0.01f, 0 };</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="keyword">const</span> QuantData TestData::s_AnchorsQuantData = { 0.50f, 0 };</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> <span class="keyword">const</span> FloatData TestData::s_BoxEncodings =</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>  0.0f, 0.0f, 0.0f, 0.0f,</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  0.0f, 1.0f, 0.0f, 0.0f,</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  0.0f, -1.0f, 0.0f, 0.0f,</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  0.0f, 0.0f, 0.0f, 0.0f,</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  0.0f, 1.0f, 0.0f, 0.0f,</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  0.0f, 0.0f, 0.0f, 0.0f</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> };</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> </div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="keyword">const</span> FloatData TestData::s_Scores =</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> {</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  0.0f, 0.90f, 0.80f,</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  0.0f, 0.75f, 0.72f,</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  0.0f, 0.60f, 0.50f,</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  0.0f, 0.93f, 0.95f,</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  0.0f, 0.50f, 0.40f,</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  0.0f, 0.30f, 0.20f</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> </div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> <span class="keyword">const</span> FloatData TestData::s_Anchors =</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> {</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  0.5f, 0.5f, 1.0f, 1.0f,</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  0.5f, 0.5f, 1.0f, 1.0f,</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  0.5f, 0.5f, 1.0f, 1.0f,</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  0.5f, 10.5f, 1.0f, 1.0f,</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  0.5f, 10.5f, 1.0f, 1.0f,</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  0.5f, 100.5f, 1.0f, 1.0f</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> </div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> <span class="keyword">const</span> FloatData RegularNmsExpectedResults::s_DetectionBoxes =</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> {</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  0.0f, 10.0f, 1.0f, 11.0f,</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  0.0f, 10.0f, 1.0f, 11.0f,</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  0.0f, 0.0f, 0.0f, 0.0f</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> };</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> </div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> <span class="keyword">const</span> FloatData RegularNmsExpectedResults::s_DetectionScores =</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> {</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  0.95f, 0.93f, 0.0f</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> };</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> </div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> <span class="keyword">const</span> FloatData RegularNmsExpectedResults::s_DetectionClasses =</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> {</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  1.0f, 0.0f, 0.0f</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> };</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> </div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> <span class="keyword">const</span> FloatData RegularNmsExpectedResults::s_NumDetections = { 2.0f };</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> </div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> <span class="keyword">const</span> FloatData FastNmsExpectedResults::s_DetectionBoxes =</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> {</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  0.0f, 10.0f, 1.0f, 11.0f,</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  0.0f, 0.0f, 1.0f, 1.0f,</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  0.0f, 100.0f, 1.0f, 101.0f</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> };</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> </div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> <span class="keyword">const</span> FloatData FastNmsExpectedResults::s_DetectionScores =</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> {</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  0.95f, 0.9f, 0.3f</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> </div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> <span class="keyword">const</span> FloatData FastNmsExpectedResults::s_DetectionClasses =</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> {</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  1.0f, 0.0f, 0.0f</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> };</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> </div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> <span class="keyword">const</span> FloatData FastNmsExpectedResults::s_NumDetections = { 3.0f };</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> </div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> } <span class="comment">// anonymous namespace</span></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> <span class="keyword">template</span><<span class="keyword">typename</span> FactoryType,</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> ArmnnType,</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="keyword">typename</span> T = <a class="code" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType<ArmnnType></a>></div><div class="line"><a name="l00141"></a><span class="lineno"><a class="line" href="_detection_post_process_test_impl_8hpp.xhtml#abcb5860eb1d6f41eabf48d985b51da3b"> 141</a></span> <span class="keywordtype">void</span> <a class="code" href="_detection_post_process_test_impl_8hpp.xhtml#abcb5860eb1d6f41eabf48d985b51da3b">DetectionPostProcessImpl</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& boxEncodingsInfo,</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& scoresInfo,</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& anchorsInfo,</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="keyword">const</span> std::vector<T>& boxEncodingsData,</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keyword">const</span> std::vector<T>& scoresData,</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keyword">const</span> std::vector<T>& anchorsData,</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keyword">const</span> std::vector<float>& expectedDetectionBoxes,</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keyword">const</span> std::vector<float>& expectedDetectionClasses,</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="keyword">const</span> std::vector<float>& expectedDetectionScores,</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="keyword">const</span> std::vector<float>& expectedNumDetections,</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="keywordtype">bool</span> useRegularNms)</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> {</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  std::unique_ptr<armnn::IProfiler> profiler = std::make_unique<armnn::IProfiler>();</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <a class="code" href="classarmnn_1_1_profiler_manager.xhtml#a93857080c2523bf3395e7aa7e6024d5c">armnn::ProfilerManager::GetInstance</a>().<a class="code" href="classarmnn_1_1_profiler_manager.xhtml#a7b1e3e5bf386004541be2b5b22443208">RegisterProfiler</a>(profiler.get());</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>  <span class="keyword">auto</span> memoryManager = WorkloadFactoryHelper<FactoryType>::GetMemoryManager();</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  FactoryType workloadFactory = WorkloadFactoryHelper<FactoryType>::GetFactory(memoryManager);</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keyword">auto</span> tensorHandleFactory = WorkloadFactoryHelper<FactoryType>::GetTensorHandleFactory(memoryManager);</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>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> detectionBoxesInfo({ 1, 3, 4 }, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> detectionClassesInfo({ 1, 3 }, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> detectionScoresInfo({ 1, 3 }, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> numDetectionInfo({ 1 }, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span> </div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  std::vector<float> actualDetectionBoxesOutput(detectionBoxesInfo.GetNumElements());</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  std::vector<float> actualDetectionClassesOutput(detectionClassesInfo.GetNumElements());</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  std::vector<float> actualDetectionScoresOutput(detectionScoresInfo.GetNumElements());</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  std::vector<float> actualNumDetectionOutput(numDetectionInfo.GetNumElements());</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> </div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="keyword">auto</span> boxedHandle = tensorHandleFactory.CreateTensorHandle(boxEncodingsInfo);</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="keyword">auto</span> scoreshandle = tensorHandleFactory.CreateTensorHandle(scoresInfo);</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keyword">auto</span> anchorsHandle = tensorHandleFactory.CreateTensorHandle(anchorsInfo);</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keyword">auto</span> outputBoxesHandle = tensorHandleFactory.CreateTensorHandle(detectionBoxesInfo);</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keyword">auto</span> classesHandle = tensorHandleFactory.CreateTensorHandle(detectionClassesInfo);</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="keyword">auto</span> outputScoresHandle = tensorHandleFactory.CreateTensorHandle(detectionScoresInfo);</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keyword">auto</span> numDetectionHandle = tensorHandleFactory.CreateTensorHandle(numDetectionInfo);</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span> </div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <a class="code" href="classarmnn_1_1_scoped_tensor_handle.xhtml">armnn::ScopedTensorHandle</a> anchorsTensor(anchorsInfo);</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <a class="code" href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp.xhtml#afaaca8c3f3a467d124bba44067d2afa8">AllocateAndCopyDataToITensorHandle</a>(&anchorsTensor, anchorsData.data());</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span> </div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <a class="code" href="structarmnn_1_1_detection_post_process_queue_descriptor.xhtml">armnn::DetectionPostProcessQueueDescriptor</a> data;</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  data.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7ed9bc7c26df67d274d5dd4cd83adf0f">m_UseRegularNms</a> = useRegularNms;</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  data.m_Parameters.m_MaxDetections = 3;</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  data.m_Parameters.m_MaxClassesPerDetection = 1;</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  data.m_Parameters.m_DetectionsPerClass =1;</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  data.m_Parameters.m_NmsScoreThreshold = 0.0;</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  data.m_Parameters.m_NmsIouThreshold = 0.5;</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  data.m_Parameters.m_NumClasses = 2;</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  data.m_Parameters.m_ScaleY = 10.0;</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  data.m_Parameters.m_ScaleX = 10.0;</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  data.m_Parameters.m_ScaleH = 5.0;</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  data.m_Parameters.m_ScaleW = 5.0;</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  data.m_Anchors = &anchorsTensor;</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span> </div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <a class="code" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> info;</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  AddInputToWorkload(data, info, boxEncodingsInfo, boxedHandle.get());</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  AddInputToWorkload(data, info, scoresInfo, scoreshandle.get());</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  AddOutputToWorkload(data, info, detectionBoxesInfo, outputBoxesHandle.get());</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  AddOutputToWorkload(data, info, detectionClassesInfo, classesHandle.get());</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  AddOutputToWorkload(data, info, detectionScoresInfo, outputScoresHandle.get());</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  AddOutputToWorkload(data, info, numDetectionInfo, numDetectionHandle.get());</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span> </div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateWorkload(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a">armnn::LayerType::DetectionPostProcess</a>,</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  data,</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  info);</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>  boxedHandle->Allocate();</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  scoreshandle->Allocate();</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  outputBoxesHandle->Allocate();</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  classesHandle->Allocate();</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  outputScoresHandle->Allocate();</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  numDetectionHandle->Allocate();</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span> </div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <a class="code" href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(boxedHandle.get(), boxEncodingsData.data());</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <a class="code" href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(scoreshandle.get(), scoresData.data());</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span> </div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  workload->Execute();</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span> </div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <a class="code" href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp.xhtml#ab5dfed8358e500ed523d78090ec78e88">CopyDataFromITensorHandle</a>(actualDetectionBoxesOutput.data(), outputBoxesHandle.get());</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <a class="code" href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp.xhtml#ab5dfed8358e500ed523d78090ec78e88">CopyDataFromITensorHandle</a>(actualDetectionClassesOutput.data(), classesHandle.get());</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <a class="code" href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp.xhtml#ab5dfed8358e500ed523d78090ec78e88">CopyDataFromITensorHandle</a>(actualDetectionScoresOutput.data(), outputScoresHandle.get());</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <a class="code" href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp.xhtml#ab5dfed8358e500ed523d78090ec78e88">CopyDataFromITensorHandle</a>(actualNumDetectionOutput.data(), numDetectionHandle.get());</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span> </div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="keyword">auto</span> result = <a class="code" href="include_2armnn_test_utils_2_tensor_helpers_8hpp.xhtml#a5fea88a1c3398e303fb83b6db155ff2d">CompareTensors</a>(actualDetectionBoxesOutput,</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  expectedDetectionBoxes,</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  outputBoxesHandle->GetShape(),</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  detectionBoxesInfo.GetShape());</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  CHECK_MESSAGE(result.m_Result, result.m_Message.str());</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>  result = <a class="code" href="include_2armnn_test_utils_2_tensor_helpers_8hpp.xhtml#a5fea88a1c3398e303fb83b6db155ff2d">CompareTensors</a>(actualDetectionClassesOutput,</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  expectedDetectionClasses,</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  classesHandle->GetShape(),</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  detectionClassesInfo.GetShape());</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  CHECK_MESSAGE(result.m_Result, result.m_Message.str());</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span> </div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  result = <a class="code" href="include_2armnn_test_utils_2_tensor_helpers_8hpp.xhtml#a5fea88a1c3398e303fb83b6db155ff2d">CompareTensors</a>(actualDetectionScoresOutput,</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  expectedDetectionScores,</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  outputScoresHandle->GetShape(),</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  detectionScoresInfo.GetShape());</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  CHECK_MESSAGE(result.m_Result, result.m_Message.str());</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span> </div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  result = <a class="code" href="include_2armnn_test_utils_2_tensor_helpers_8hpp.xhtml#a5fea88a1c3398e303fb83b6db155ff2d">CompareTensors</a>(actualNumDetectionOutput,</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  expectedNumDetections,</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  numDetectionHandle->GetShape(),</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  numDetectionInfo.GetShape());</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  CHECK_MESSAGE(result.m_Result, result.m_Message.str());</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> </div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span> <span class="keyword">template</span><armnn::DataType QuantizedType, <span class="keyword">typename</span> RawType = armnn::ResolveType<QuantizedType>></div><div class="line"><a name="l00250"></a><span class="lineno"><a class="line" href="_detection_post_process_test_impl_8hpp.xhtml#ae7a0cad618fa649079d11502ecdd7691"> 250</a></span> <span class="keywordtype">void</span> <a class="code" href="_detection_post_process_test_impl_8hpp.xhtml#ae7a0cad618fa649079d11502ecdd7691">QuantizeData</a>(RawType* quant, <span class="keyword">const</span> <span class="keywordtype">float</span>* dequant, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& info)</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="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>(); i++)</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  {</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  quant[i] = armnn::Quantize<RawType>(</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  dequant[i], info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>(), info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>());</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  }</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span> }</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span> </div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span> <span class="keyword">template</span><<span class="keyword">typename</span> FactoryType></div><div class="line"><a name="l00260"></a><span class="lineno"><a class="line" href="_detection_post_process_test_impl_8hpp.xhtml#a41f47226e626cee4e116cddb477aaffa"> 260</a></span> <span class="keywordtype">void</span> <a class="code" href="_detection_post_process_test_impl_8hpp.xhtml#a41f47226e626cee4e116cddb477aaffa">DetectionPostProcessRegularNmsFloatTest</a>()</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="keywordflow">return</span> DetectionPostProcessImpl<FactoryType, armnn::DataType::Float32>(</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(TestData::s_BoxEncodingsShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>),</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(TestData::s_ScoresShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>),</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(TestData::s_AnchorsShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>),</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  TestData::s_BoxEncodings,</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  TestData::s_Scores,</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  TestData::s_Anchors,</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  RegularNmsExpectedResults::s_DetectionBoxes,</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  RegularNmsExpectedResults::s_DetectionClasses,</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  RegularNmsExpectedResults::s_DetectionScores,</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  RegularNmsExpectedResults::s_NumDetections,</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keyword">true</span>);</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span> }</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span> </div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span> <span class="keyword">template</span><<span class="keyword">typename</span> FactoryType,</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> QuantizedType,</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <span class="keyword">typename</span> RawType = <a class="code" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType<QuantizedType></a>></div><div class="line"><a name="l00279"></a><span class="lineno"><a class="line" href="_detection_post_process_test_impl_8hpp.xhtml#a529a27be5db241fb01a7ee08286d2e0a"> 279</a></span> <span class="keywordtype">void</span> <a class="code" href="_detection_post_process_test_impl_8hpp.xhtml#a529a27be5db241fb01a7ee08286d2e0a">DetectionPostProcessRegularNmsQuantizedTest</a>()</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span> {</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> boxEncodingsInfo(TestData::s_BoxEncodingsShape, QuantizedType);</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> scoresInfo(TestData::s_ScoresShape, QuantizedType);</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> anchorsInfo(TestData::s_AnchorsShape, QuantizedType);</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span> </div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  boxEncodingsInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(TestData::s_BoxEncodingsQuantData.first);</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  boxEncodingsInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(TestData::s_BoxEncodingsQuantData.second);</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span> </div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  scoresInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(TestData::s_ScoresQuantData.first);</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  scoresInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(TestData::s_ScoresQuantData.second);</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>  anchorsInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(TestData::s_AnchorsQuantData.first);</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  anchorsInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(TestData::s_BoxEncodingsQuantData.second);</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span> </div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  std::vector<RawType> boxEncodingsData(TestData::s_BoxEncodingsShape.GetNumElements());</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  QuantizeData<QuantizedType>(boxEncodingsData.data(),</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  TestData::s_BoxEncodings.data(),</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  boxEncodingsInfo);</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>  std::vector<RawType> scoresData(TestData::s_ScoresShape.GetNumElements());</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  QuantizeData<QuantizedType>(scoresData.data(),</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  TestData::s_Scores.data(),</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  scoresInfo);</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>  std::vector<RawType> anchorsData(TestData::s_AnchorsShape.GetNumElements());</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  QuantizeData<QuantizedType>(anchorsData.data(),</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  TestData::s_Anchors.data(),</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  anchorsInfo);</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span> </div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <span class="keywordflow">return</span> DetectionPostProcessImpl<FactoryType, QuantizedType>(</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  boxEncodingsInfo,</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  scoresInfo,</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  anchorsInfo,</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  boxEncodingsData,</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  scoresData,</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  anchorsData,</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  RegularNmsExpectedResults::s_DetectionBoxes,</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  RegularNmsExpectedResults::s_DetectionClasses,</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  RegularNmsExpectedResults::s_DetectionScores,</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  RegularNmsExpectedResults::s_NumDetections,</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <span class="keyword">true</span>);</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> </div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span> <span class="keyword">template</span><<span class="keyword">typename</span> FactoryType></div><div class="line"><a name="l00324"></a><span class="lineno"><a class="line" href="_detection_post_process_test_impl_8hpp.xhtml#a53950727fa51d571f312789c72db09bc"> 324</a></span> <span class="keywordtype">void</span> <a class="code" href="_detection_post_process_test_impl_8hpp.xhtml#a53950727fa51d571f312789c72db09bc">DetectionPostProcessFastNmsFloatTest</a>()</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span> {</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <span class="keywordflow">return</span> DetectionPostProcessImpl<FactoryType, armnn::DataType::Float32>(</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(TestData::s_BoxEncodingsShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>),</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(TestData::s_ScoresShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>),</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(TestData::s_AnchorsShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>),</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  TestData::s_BoxEncodings,</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  TestData::s_Scores,</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  TestData::s_Anchors,</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  FastNmsExpectedResults::s_DetectionBoxes,</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  FastNmsExpectedResults::s_DetectionClasses,</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  FastNmsExpectedResults::s_DetectionScores,</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  FastNmsExpectedResults::s_NumDetections,</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  <span class="keyword">false</span>);</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span> }</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span> </div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span> <span class="keyword">template</span><<span class="keyword">typename</span> FactoryType,</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> QuantizedType,</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <span class="keyword">typename</span> RawType = <a class="code" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType<QuantizedType></a>></div><div class="line"><a name="l00343"></a><span class="lineno"><a class="line" href="_detection_post_process_test_impl_8hpp.xhtml#a496f3eb2f8ca9b1e688fbc716f77c448"> 343</a></span> <span class="keywordtype">void</span> <a class="code" href="_detection_post_process_test_impl_8hpp.xhtml#a496f3eb2f8ca9b1e688fbc716f77c448">DetectionPostProcessFastNmsQuantizedTest</a>()</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span> {</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> boxEncodingsInfo(TestData::s_BoxEncodingsShape, QuantizedType);</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> scoresInfo(TestData::s_ScoresShape, QuantizedType);</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> anchorsInfo(TestData::s_AnchorsShape, QuantizedType);</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span> </div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  boxEncodingsInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(TestData::s_BoxEncodingsQuantData.first);</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  boxEncodingsInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(TestData::s_BoxEncodingsQuantData.second);</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span> </div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  scoresInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(TestData::s_ScoresQuantData.first);</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  scoresInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(TestData::s_ScoresQuantData.second);</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span> </div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  anchorsInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(TestData::s_AnchorsQuantData.first);</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  anchorsInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(TestData::s_BoxEncodingsQuantData.second);</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span> </div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  std::vector<RawType> boxEncodingsData(TestData::s_BoxEncodingsShape.GetNumElements());</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  QuantizeData<QuantizedType>(boxEncodingsData.data(),</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  TestData::s_BoxEncodings.data(),</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  boxEncodingsInfo);</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span> </div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  std::vector<RawType> scoresData(TestData::s_ScoresShape.GetNumElements());</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  QuantizeData<QuantizedType>(scoresData.data(),</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  TestData::s_Scores.data(),</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  scoresInfo);</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span> </div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  std::vector<RawType> anchorsData(TestData::s_AnchorsShape.GetNumElements());</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  QuantizeData<QuantizedType>(anchorsData.data(),</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  TestData::s_Anchors.data(),</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  anchorsInfo);</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span> </div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  <span class="keywordflow">return</span> DetectionPostProcessImpl<FactoryType, QuantizedType>(</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  boxEncodingsInfo,</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  scoresInfo,</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  anchorsInfo,</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  boxEncodingsData,</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  scoresData,</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  anchorsData,</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  FastNmsExpectedResults::s_DetectionBoxes,</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  FastNmsExpectedResults::s_DetectionClasses,</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  FastNmsExpectedResults::s_DetectionScores,</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  FastNmsExpectedResults::s_NumDetections,</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  <span class="keyword">false</span>);</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span> }</div><div class="ttc" id="structarmnn_1_1_detection_post_process_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_queue_descriptor.xhtml">armnn::DetectionPostProcessQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00261">WorkloadData.hpp:261</a></div></div> +<div class="ttc" id="classarmnn_1_1_profiler_manager_xhtml_a93857080c2523bf3395e7aa7e6024d5c"><div class="ttname"><a href="classarmnn_1_1_profiler_manager.xhtml#a93857080c2523bf3395e7aa7e6024d5c">armnn::ProfilerManager::GetInstance</a></div><div class="ttdeci">static ProfilerManager & GetInstance()</div><div class="ttdef"><b>Definition:</b> <a href="_profiling_8cpp_source.xhtml#l00572">Profiling.cpp:572</a></div></div> +<div class="ttc" id="_i_backend_internal_8hpp_xhtml"><div class="ttname"><a href="_i_backend_internal_8hpp.xhtml">IBackendInternal.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div> +<div class="ttc" id="_detection_post_process_test_impl_8hpp_xhtml_ae7a0cad618fa649079d11502ecdd7691"><div class="ttname"><a href="_detection_post_process_test_impl_8hpp.xhtml#ae7a0cad618fa649079d11502ecdd7691">QuantizeData</a></div><div class="ttdeci">void QuantizeData(RawType *quant, const float *dequant, const armnn::TensorInfo &info)</div><div class="ttdef"><b>Definition:</b> <a href="_detection_post_process_test_impl_8hpp_source.xhtml#l00250">DetectionPostProcessTestImpl.hpp:250</a></div></div> +<div class="ttc" id="_detection_post_process_test_impl_8hpp_xhtml_abcb5860eb1d6f41eabf48d985b51da3b"><div class="ttname"><a href="_detection_post_process_test_impl_8hpp.xhtml#abcb5860eb1d6f41eabf48d985b51da3b">DetectionPostProcessImpl</a></div><div class="ttdeci">void DetectionPostProcessImpl(const armnn::TensorInfo &boxEncodingsInfo, const armnn::TensorInfo &scoresInfo, const armnn::TensorInfo &anchorsInfo, const std::vector< T > &boxEncodingsData, const std::vector< T > &scoresData, const std::vector< T > &anchorsData, const std::vector< float > &expectedDetectionBoxes, const std::vector< float > &expectedDetectionClasses, const std::vector< float > &expectedDetectionScores, const std::vector< float > &expectedNumDetections, bool useRegularNms)</div><div class="ttdef"><b>Definition:</b> <a href="_detection_post_process_test_impl_8hpp_source.xhtml#l00141">DetectionPostProcessTestImpl.hpp:141</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a0743ed5e860c316a20b68ca96301b411"><div class="ttname"><a href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a></div><div class="ttdeci">typename ResolveTypeImpl< DT >::Type ResolveType</div><div class="ttdef"><b>Definition:</b> <a href="_resolve_type_8hpp_source.xhtml#l00079">ResolveType.hpp:79</a></div></div> +<div class="ttc" id="_resolve_type_8hpp_xhtml"><div class="ttname"><a href="_resolve_type_8hpp.xhtml">ResolveType.hpp</a></div></div> +<div class="ttc" id="include_2armnn_2backends_2_workload_factory_8hpp_xhtml"><div class="ttname"><a href="include_2armnn_2backends_2_workload_factory_8hpp.xhtml">WorkloadFactory.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div> +<div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_xhtml_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00066">WorkloadData.hpp:66</a></div></div> +<div class="ttc" id="include_2armnn_test_utils_2_tensor_copy_utils_8hpp_xhtml_afaaca8c3f3a467d124bba44067d2afa8"><div class="ttname"><a href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp.xhtml#afaaca8c3f3a467d124bba44067d2afa8">AllocateAndCopyDataToITensorHandle</a></div><div class="ttdeci">void AllocateAndCopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00019">TensorCopyUtils.cpp:19</a></div></div> +<div class="ttc" id="_detection_post_process_test_impl_8hpp_xhtml_a41f47226e626cee4e116cddb477aaffa"><div class="ttname"><a href="_detection_post_process_test_impl_8hpp.xhtml#a41f47226e626cee4e116cddb477aaffa">DetectionPostProcessRegularNmsFloatTest</a></div><div class="ttdeci">void DetectionPostProcessRegularNmsFloatTest()</div><div class="ttdef"><b>Definition:</b> <a href="_detection_post_process_test_impl_8hpp_source.xhtml#l00260">DetectionPostProcessTestImpl.hpp:260</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a">armnn::LayerType::DetectionPostProcess</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00048">Types.hpp:48</a></div></div> +<div class="ttc" id="_detection_post_process_test_impl_8hpp_xhtml_a529a27be5db241fb01a7ee08286d2e0a"><div class="ttname"><a href="_detection_post_process_test_impl_8hpp.xhtml#a529a27be5db241fb01a7ee08286d2e0a">DetectionPostProcessRegularNmsQuantizedTest</a></div><div class="ttdeci">void DetectionPostProcessRegularNmsQuantizedTest()</div><div class="ttdef"><b>Definition:</b> <a href="_detection_post_process_test_impl_8hpp_source.xhtml#l00279">DetectionPostProcessTestImpl.hpp:279</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a770b51078da02f44a819e9f95d8058b5"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a770b51078da02f44a819e9f95d8058b5">armnn::TensorInfo::GetQuantizationOffset</a></div><div class="ttdeci">int32_t GetQuantizationOffset() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00478">Tensor.cpp:478</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a047ca888c43bd7fb5702853bf72410d0"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a047ca888c43bd7fb5702853bf72410d0">armnn::TensorInfo::GetQuantizationScale</a></div><div class="ttdeci">float GetQuantizationScale() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00461">Tensor.cpp:461</a></div></div> +<div class="ttc" id="_types_8hpp_xhtml"><div class="ttname"><a href="_types_8hpp.xhtml">Types.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_scoped_tensor_handle_xhtml"><div class="ttname"><a href="classarmnn_1_1_scoped_tensor_handle.xhtml">armnn::ScopedTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_tensor_handle_8hpp_source.xhtml#l00115">TensorHandle.hpp:115</a></div></div> +<div class="ttc" id="include_2armnn_test_utils_2_tensor_copy_utils_8hpp_xhtml_ab5dfed8358e500ed523d78090ec78e88"><div class="ttname"><a href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp.xhtml#ab5dfed8358e500ed523d78090ec78e88">CopyDataFromITensorHandle</a></div><div class="ttdeci">void CopyDataFromITensorHandle(void *mem, const armnn::ITensorHandle *tensorHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00014">TensorCopyUtils.cpp:14</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a685739c4eb65a580e075282cfe6787d6"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">armnn::TensorInfo::SetQuantizationScale</a></div><div class="ttdeci">void SetQuantizationScale(float scale)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00473">Tensor.cpp:473</a></div></div> +<div class="ttc" id="include_2armnn_2backends_2_tensor_handle_8hpp_xhtml"><div class="ttname"><a href="include_2armnn_2backends_2_tensor_handle_8hpp.xhtml">TensorHandle.hpp</a></div></div> +<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_a7ed9bc7c26df67d274d5dd4cd83adf0f"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a7ed9bc7c26df67d274d5dd4cd83adf0f">armnn::DetectionPostProcessDescriptor::m_UseRegularNms</a></div><div class="ttdeci">bool m_UseRegularNms</div><div class="ttdoc">Use Regular NMS. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00718">Descriptors.hpp:718</a></div></div> +<div class="ttc" id="_workload_factory_helper_8hpp_xhtml"><div class="ttname"><a href="_workload_factory_helper_8hpp.xhtml">WorkloadFactoryHelper.hpp</a></div></div> +<div class="ttc" id="include_2armnn_test_utils_2_tensor_helpers_8hpp_xhtml_a5fea88a1c3398e303fb83b6db155ff2d"><div class="ttname"><a href="include_2armnn_test_utils_2_tensor_helpers_8hpp.xhtml#a5fea88a1c3398e303fb83b6db155ff2d">CompareTensors</a></div><div class="ttdeci">armnn::PredicateResult CompareTensors(const std::vector< T > &actualData, const std::vector< T > &expectedData, const armnn::TensorShape &actualShape, const armnn::TensorShape &expectedShape, bool compareBoolean=false, bool isDynamic=false)</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_test_utils_2_tensor_helpers_8hpp_source.xhtml#l00073">TensorHelpers.hpp:73</a></div></div> +<div class="ttc" id="include_2armnn_test_utils_2_tensor_helpers_8hpp_xhtml"><div class="ttname"><a href="include_2armnn_test_utils_2_tensor_helpers_8hpp.xhtml">TensorHelpers.hpp</a></div></div> +<div class="ttc" id="_detection_post_process_test_impl_8hpp_xhtml_a496f3eb2f8ca9b1e688fbc716f77c448"><div class="ttname"><a href="_detection_post_process_test_impl_8hpp.xhtml#a496f3eb2f8ca9b1e688fbc716f77c448">DetectionPostProcessFastNmsQuantizedTest</a></div><div class="ttdeci">void DetectionPostProcessFastNmsQuantizedTest()</div><div class="ttdef"><b>Definition:</b> <a href="_detection_post_process_test_impl_8hpp_source.xhtml#l00343">DetectionPostProcessTestImpl.hpp:343</a></div></div> +<div class="ttc" id="classarmnn_1_1_profiler_manager_xhtml_a7b1e3e5bf386004541be2b5b22443208"><div class="ttname"><a href="classarmnn_1_1_profiler_manager.xhtml#a7b1e3e5bf386004541be2b5b22443208">armnn::ProfilerManager::RegisterProfiler</a></div><div class="ttdeci">void RegisterProfiler(IProfiler *profiler)</div><div class="ttdef"><b>Definition:</b> <a href="_profiling_8cpp_source.xhtml#l00579">Profiling.cpp:579</a></div></div> +<div class="ttc" id="include_2armnn_test_utils_2_tensor_copy_utils_8hpp_xhtml_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a></div><div class="ttdeci">void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00009">TensorCopyUtils.cpp:9</a></div></div> +<div class="ttc" id="_detection_post_process_test_impl_8hpp_xhtml_a53950727fa51d571f312789c72db09bc"><div class="ttname"><a href="_detection_post_process_test_impl_8hpp.xhtml#a53950727fa51d571f312789c72db09bc">DetectionPostProcessFastNmsFloatTest</a></div><div class="ttdeci">void DetectionPostProcessFastNmsFloatTest()</div><div class="ttdef"><b>Definition:</b> <a href="_detection_post_process_test_impl_8hpp_source.xhtml#l00324">DetectionPostProcessTestImpl.hpp:324</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="structarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about TensorInfos of a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a63cbc581012c957f9d68d224ddc3e43c"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">armnn::TensorInfo::SetQuantizationOffset</a></div><div class="ttdeci">void SetQuantizationOffset(int32_t offset)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00489">Tensor.cpp:489</a></div></div> +<div class="ttc" id="include_2armnn_test_utils_2_tensor_copy_utils_8hpp_xhtml"><div class="ttname"><a href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp.xhtml">TensorCopyUtils.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">armnn::TensorInfo::GetNumElements</a></div><div class="ttdeci">unsigned int GetNumElements() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00196">Tensor.hpp:196</a></div></div> +<div class="ttc" id="include_2armnn_test_utils_2_workload_test_utils_8hpp_xhtml"><div class="ttname"><a href="include_2armnn_test_utils_2_workload_test_utils_8hpp.xhtml">WorkloadTestUtils.hpp</a></div></div> +</div><!-- fragment --></div><!-- contents --> +</div><!-- doc-content --> +<!-- start footer part --> +<div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> + <ul> + <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.xhtml">backends</a></li><li 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