IVGCVSW-3726 Upload ArmNN Doxygen files * Upload current ArmNN Doxygen files Signed-off-by: Ryan OShea <Ryan.OShea2@arm.com> Change-Id: I8989ed16ee40a99a4495b100bd009cf3e24a7285

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author: Ryan OShea <Ryan.OShea2@arm.com> Fri Mar 13 16:26:19 2020 +0000
committer: Ryan OShea <Ryan.OShea2@arm.com> Fri Mar 13 16:26:19 2020 +0000
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parent: 78b26f024641e763c7252198339c83bad8c0982f [diff] [blame]
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+<a href="_detection_post_process_test_impl_8hpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;</div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_resolve_type_8hpp.html">ResolveType.hpp</a>&gt;</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;</div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_types_8hpp.html">armnn/Types.hpp</a>&gt;</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;</div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_cpu_tensor_handle_8hpp.html">backendsCommon/CpuTensorHandle.hpp</a>&gt;</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="include_2armnn_2backends_2_i_backend_internal_8hpp.html">armnn/backends/IBackendInternal.hpp</a>&gt;</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_workload_factory_8hpp.html">backendsCommon/WorkloadFactory.hpp</a>&gt;</span></div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;</div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_tensor_copy_utils_8hpp.html">backendsCommon/test/TensorCopyUtils.hpp</a>&gt;</span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_workload_factory_helper_8hpp.html">backendsCommon/test/WorkloadFactoryHelper.hpp</a>&gt;</span></div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_workload_test_utils_8hpp.html">backendsCommon/test/WorkloadTestUtils.hpp</a>&gt;</span></div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;</div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_tensor_helpers_8hpp.html">test/TensorHelpers.hpp</a>&gt;</span></div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;</div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="keyword">namespace</span></div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;{</div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;</div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="keyword">using</span> FloatData = std::vector&lt;float&gt;;</div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="keyword">using</span> QuantData = std::pair&lt;float, int32_t&gt;;</div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="keyword">struct </span>TestData</div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;{</div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;    <span class="keyword">static</span> <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> s_BoxEncodingsShape;</div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;    <span class="keyword">static</span> <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> s_ScoresShape;</div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;    <span class="keyword">static</span> <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> s_AnchorsShape;</div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;</div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;    <span class="keyword">static</span> <span class="keyword">const</span> QuantData s_BoxEncodingsQuantData;</div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;    <span class="keyword">static</span> <span class="keyword">const</span> QuantData s_ScoresQuantData;</div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;    <span class="keyword">static</span> <span class="keyword">const</span> QuantData s_AnchorsQuantData;</div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;    <span class="keyword">static</span> <span class="keyword">const</span> FloatData s_BoxEncodings;</div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;    <span class="keyword">static</span> <span class="keyword">const</span> FloatData s_Scores;</div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;    <span class="keyword">static</span> <span class="keyword">const</span> FloatData s_Anchors;</div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;};</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;<span class="keyword">struct </span>RegularNmsExpectedResults</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;{</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;    <span class="keyword">static</span> <span class="keyword">const</span> FloatData s_DetectionBoxes;</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;    <span class="keyword">static</span> <span class="keyword">const</span> FloatData s_DetectionScores;</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;    <span class="keyword">static</span> <span class="keyword">const</span> FloatData s_DetectionClasses;</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;    <span class="keyword">static</span> <span class="keyword">const</span> FloatData s_NumDetections;</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;};</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;<span class="keyword">struct </span>FastNmsExpectedResults</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;{</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;    <span class="keyword">static</span> <span class="keyword">const</span> FloatData s_DetectionBoxes;</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;    <span class="keyword">static</span> <span class="keyword">const</span> FloatData s_DetectionScores;</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;    <span class="keyword">static</span> <span class="keyword">const</span> FloatData s_DetectionClasses;</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;    <span class="keyword">static</span> <span class="keyword">const</span> FloatData s_NumDetections;</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;};</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> TestData::s_BoxEncodingsShape = { 1, 6, 4 };</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> TestData::s_ScoresShape       = { 1, 6, 3 };</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> TestData::s_AnchorsShape      = { 6, 4 };</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;<span class="keyword">const</span> QuantData TestData::s_BoxEncodingsQuantData = { 1.00f, 1 };</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;<span class="keyword">const</span> QuantData TestData::s_ScoresQuantData       = { 0.01f, 0 };</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;<span class="keyword">const</span> QuantData TestData::s_AnchorsQuantData      = { 0.50f, 0 };</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;<span class="keyword">const</span> FloatData TestData::s_BoxEncodings =</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;{</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;    0.0f,  0.0f, 0.0f, 0.0f,</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;    0.0f,  1.0f, 0.0f, 0.0f,</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;    0.0f, -1.0f, 0.0f, 0.0f,</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;    0.0f,  0.0f, 0.0f, 0.0f,</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;    0.0f,  1.0f, 0.0f, 0.0f,</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;    0.0f,  0.0f, 0.0f, 0.0f</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;};</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;<span class="keyword">const</span> FloatData TestData::s_Scores =</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;{</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;    0.0f, 0.90f, 0.80f,</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;    0.0f, 0.75f, 0.72f,</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;    0.0f, 0.60f, 0.50f,</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;    0.0f, 0.93f, 0.95f,</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;    0.0f, 0.50f, 0.40f,</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;    0.0f, 0.30f, 0.20f</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;};</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;<span class="keyword">const</span> FloatData TestData::s_Anchors =</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;{</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;    0.5f,   0.5f, 1.0f, 1.0f,</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;    0.5f,   0.5f, 1.0f, 1.0f,</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;    0.5f,   0.5f, 1.0f, 1.0f,</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;    0.5f,  10.5f, 1.0f, 1.0f,</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;    0.5f,  10.5f, 1.0f, 1.0f,</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;    0.5f, 100.5f, 1.0f, 1.0f</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;};</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;<span class="keyword">const</span> FloatData RegularNmsExpectedResults::s_DetectionBoxes =</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;{</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;    0.0f, 10.0f, 1.0f, 11.0f,</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;    0.0f, 10.0f, 1.0f, 11.0f,</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;    0.0f,  0.0f, 0.0f,  0.0f</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;};</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;</div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;<span class="keyword">const</span> FloatData RegularNmsExpectedResults::s_DetectionScores =</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;{</div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;    0.95f, 0.93f, 0.0f</div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;};</div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;<span class="keyword">const</span> FloatData RegularNmsExpectedResults::s_DetectionClasses =</div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;{</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;    1.0f, 0.0f, 0.0f</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;};</div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;<span class="keyword">const</span> FloatData RegularNmsExpectedResults::s_NumDetections = { 2.0f };</div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;</div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;<span class="keyword">const</span> FloatData FastNmsExpectedResults::s_DetectionBoxes =</div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;{</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;    0.0f,  10.0f, 1.0f,  11.0f,</div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;    0.0f,   0.0f, 1.0f,   1.0f,</div><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;    0.0f, 100.0f, 1.0f, 101.0f</div><div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;};</div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;</div><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;<span class="keyword">const</span> FloatData FastNmsExpectedResults::s_DetectionScores =</div><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;{</div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;    0.95f, 0.9f, 0.3f</div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;};</div><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;</div><div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;<span class="keyword">const</span> FloatData FastNmsExpectedResults::s_DetectionClasses =</div><div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;{</div><div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;    1.0f, 0.0f, 0.0f</div><div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;};</div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;</div><div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;<span class="keyword">const</span> FloatData FastNmsExpectedResults::s_NumDetections = { 3.0f };</div><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;</div><div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;} <span class="comment">// anonymous namespace</span></div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;</div><div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> <a class="code" href="_cl_layer_tests_8cpp.html#a255d08081b372809a176b588529296aa">FactoryType</a>,</div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;         <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> ArmnnType,</div><div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;         <span class="keyword">typename</span> T = <a class="code" href="namespacearmnn.html#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType&lt;ArmnnType&gt;</a>&gt;</div><div class="line"><a name="l00139"></a><span class="lineno"><a class="line" href="_detection_post_process_test_impl_8hpp.html#abcb5860eb1d6f41eabf48d985b51da3b">  139</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="_detection_post_process_test_impl_8hpp.html#abcb5860eb1d6f41eabf48d985b51da3b">DetectionPostProcessImpl</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>&amp; boxEncodingsInfo,</div><div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;                              <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>&amp; <a class="code" href="_neon_end_to_end_tests_8cpp.html#a64c1dd1b6dd60be9f4a16db9c8f427a5">scoresInfo</a>,</div><div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;                              <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>&amp; <a class="code" href="_neon_end_to_end_tests_8cpp.html#a358cb7cd3c0647b25be049fd734b8c22">anchorsInfo</a>,</div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;                              <span class="keyword">const</span> std::vector&lt;T&gt;&amp; boxEncodingsData,</div><div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;                              <span class="keyword">const</span> std::vector&lt;T&gt;&amp; scoresData,</div><div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;                              <span class="keyword">const</span> std::vector&lt;T&gt;&amp; anchorsData,</div><div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;                              <span class="keyword">const</span> std::vector&lt;float&gt;&amp; expectedDetectionBoxes,</div><div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;                              <span class="keyword">const</span> std::vector&lt;float&gt;&amp; expectedDetectionClasses,</div><div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;                              <span class="keyword">const</span> std::vector&lt;float&gt;&amp; expectedDetectionScores,</div><div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;                              <span class="keyword">const</span> std::vector&lt;float&gt;&amp; expectedNumDetections,</div><div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;                              <span class="keywordtype">bool</span> useRegularNms)</div><div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;{</div><div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;    std::unique_ptr&lt;armnn::Profiler&gt; profiler = std::make_unique&lt;armnn::Profiler&gt;();</div><div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;    <a class="code" href="classarmnn_1_1_profiler_manager.html#a93857080c2523bf3395e7aa7e6024d5c">armnn::ProfilerManager::GetInstance</a>().<a class="code" href="classarmnn_1_1_profiler_manager.html#a029a40ab5d837b3d4f5d3900ceb6a8f9">RegisterProfiler</a>(profiler.get());</div><div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;</div><div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;    <span class="keyword">auto</span> memoryManager = WorkloadFactoryHelper&lt;FactoryType&gt;::GetMemoryManager();</div><div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;    <a class="code" href="_cl_layer_tests_8cpp.html#a255d08081b372809a176b588529296aa">FactoryType</a> workloadFactory = WorkloadFactoryHelper&lt;FactoryType&gt;::GetFactory(memoryManager);</div><div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;</div><div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;    <span class="keyword">auto</span> <a class="code" href="_neon_end_to_end_tests_8cpp.html#ada422a73ac4e68bcb1b1b1f0b44028d9">boxEncodings</a> = MakeTensor&lt;T, 3&gt;(boxEncodingsInfo, boxEncodingsData);</div><div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;    <span class="keyword">auto</span> <a class="code" href="_neon_end_to_end_tests_8cpp.html#a0348e6bb67ace72535bd105219bb6237">scores</a> = MakeTensor&lt;T, 3&gt;(<a class="code" href="_neon_end_to_end_tests_8cpp.html#a64c1dd1b6dd60be9f4a16db9c8f427a5">scoresInfo</a>, scoresData);</div><div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;    <span class="keyword">auto</span> <a class="code" href="_neon_end_to_end_tests_8cpp.html#ac0981848e4ae57729f14f72bd4caa9f8">anchors</a> = MakeTensor&lt;T, 2&gt;(<a class="code" href="_neon_end_to_end_tests_8cpp.html#a358cb7cd3c0647b25be049fd734b8c22">anchorsInfo</a>, anchorsData);</div><div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;</div><div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> detectionBoxesInfo({ 1, 3, 4 }, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> detectionScoresInfo({ 1, 3 }, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> detectionClassesInfo({ 1, 3 }, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> numDetectionInfo({ 1 }, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;</div><div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;    <a class="code" href="struct_layer_test_result.html">LayerTestResult&lt;float, 3&gt;</a> detectionBoxesResult(detectionBoxesInfo);</div><div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;    detectionBoxesResult.outputExpected = MakeTensor&lt;float, 3&gt;(detectionBoxesInfo, expectedDetectionBoxes);</div><div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;    <a class="code" href="struct_layer_test_result.html">LayerTestResult&lt;float, 2&gt;</a> detectionClassesResult(detectionClassesInfo);</div><div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160; 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   std::unique_ptr&lt;armnn::ITensorHandle&gt; outputScoresHandle = workloadFactory.CreateTensorHandle(detectionScoresInfo);</div><div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;    std::unique_ptr&lt;armnn::ITensorHandle&gt; numDetectionHandle = workloadFactory.CreateTensorHandle(numDetectionInfo);</div><div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;</div><div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;    <a class="code" href="classarmnn_1_1_scoped_cpu_tensor_handle.html">armnn::ScopedCpuTensorHandle</a> anchorsTensor(anchorsInfo);</div><div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;    <a class="code" href="_tensor_copy_utils_8cpp.html#afaaca8c3f3a467d124bba44067d2afa8">AllocateAndCopyDataToITensorHandle</a>(&amp;anchorsTensor, &amp;anchors[0][0]);</div><div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;</div><div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160; 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   data.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.html#a7e2f87544b8bc7e497e1dec8d3ca4055">m_DetectionsPerClass</a> =1;</div><div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;    data.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.html#a4392dd6b4862cc9cf95ae8f1001ba592">m_NmsScoreThreshold</a> = 0.0;</div><div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;    data.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.html#a53c8a7f33a40e1e240256bcfcf41b101">m_NmsIouThreshold</a> = 0.5;</div><div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;    data.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.html#a3a04b0ccee4bb2f21721ee5045e83df4">m_NumClasses</a> = 2;</div><div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;    data.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.html#a7a2156ec7d9c012ce00bbcc6afcb9028">m_ScaleY</a> = 10.0;</div><div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;    data.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.html#ae64523937ea910030ad66fee6fddd51f">m_ScaleX</a> = 10.0;</div><div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;    data.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.html#aa61510cbd529870182e918ac6e8b9d72">m_ScaleH</a> = 5.0;</div><div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;    data.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.html#ab509802c659de19929f18bad14a35c58">m_ScaleW</a> = 5.0;</div><div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;    data.<a class="code" href="structarmnn_1_1_detection_post_process_queue_descriptor.html#a6e2a2a531bc3637a9bac63f0f98b8de2">m_Anchors</a> = &amp;anchorsTensor;</div><div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;</div><div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160; 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   <a class="code" href="_tensor_copy_utils_8cpp.html#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(boxedHandle.get(), <a class="code" href="_neon_end_to_end_tests_8cpp.html#ada422a73ac4e68bcb1b1b1f0b44028d9">boxEncodings</a>.origin());</div><div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;    <a class="code" href="_tensor_copy_utils_8cpp.html#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(scoreshandle.get(), scores.origin());</div><div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;</div><div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;    workload-&gt;Execute();</div><div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;</div><div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;    <a class="code" href="_tensor_copy_utils_8cpp.html#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(detectionBoxesResult.output.origin(), outputBoxesHandle.get());</div><div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;    <a class="code" href="_tensor_copy_utils_8cpp.html#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(detectionClassesResult.output.origin(), classesHandle.get());</div><div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;    <a class="code" href="_tensor_copy_utils_8cpp.html#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(detectionScoresResult.output.origin(), outputScoresHandle.get());</div><div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;    <a class="code" href="_tensor_copy_utils_8cpp.html#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(numDetectionsResult.output.origin(), numDetectionHandle.get());</div><div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;</div><div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;    BOOST_TEST(<a class="code" href="_tensor_helpers_8hpp.html#a0b8fbb443d2cf34a41f6aaae934e3dcb">CompareTensors</a>(detectionBoxesResult.output, detectionBoxesResult.outputExpected));</div><div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;    BOOST_TEST(<a class="code" href="_tensor_helpers_8hpp.html#a0b8fbb443d2cf34a41f6aaae934e3dcb">CompareTensors</a>(detectionClassesResult.output, detectionClassesResult.outputExpected));</div><div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;    BOOST_TEST(<a class="code" href="_tensor_helpers_8hpp.html#a0b8fbb443d2cf34a41f6aaae934e3dcb">CompareTensors</a>(detectionScoresResult.output, detectionScoresResult.outputExpected));</div><div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;    BOOST_TEST(<a class="code" href="_tensor_helpers_8hpp.html#a0b8fbb443d2cf34a41f6aaae934e3dcb">CompareTensors</a>(numDetectionsResult.output, numDetectionsResult.outputExpected));</div><div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;}</div><div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;</div><div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;<span class="keyword">template</span>&lt;armnn::DataType QuantizedType, <span class="keyword">typename</span> RawType = armnn::ResolveType&lt;QuantizedType&gt;&gt;</div><div class="line"><a name="l00234"></a><span class="lineno"><a class="line" href="_detection_post_process_test_impl_8hpp.html#ae7a0cad618fa649079d11502ecdd7691">  234</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="_detection_post_process_test_impl_8hpp.html#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.html">armnn::TensorInfo</a>&amp; info)</div><div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;{</div><div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; info.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>(); i++)</div><div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;    {</div><div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;        quant[i] = armnn::Quantize&lt;RawType&gt;(</div><div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;            dequant[i], info.<a class="code" href="classarmnn_1_1_tensor_info.html#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>(), info.<a class="code" href="classarmnn_1_1_tensor_info.html#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>());</div><div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;    }</div><div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;}</div><div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;</div><div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> FactoryType&gt;</div><div class="line"><a name="l00244"></a><span class="lineno"><a class="line" href="_detection_post_process_test_impl_8hpp.html#a41f47226e626cee4e116cddb477aaffa">  244</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="_detection_post_process_test_impl_8hpp.html#a41f47226e626cee4e116cddb477aaffa">DetectionPostProcessRegularNmsFloatTest</a>()</div><div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;{</div><div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;    <span class="keywordflow">return</span> DetectionPostProcessImpl&lt;FactoryType, armnn::DataType::Float32&gt;(</div><div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;        <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(TestData::s_BoxEncodingsShape, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>),</div><div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;        <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(TestData::s_ScoresShape, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>),</div><div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;        <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(TestData::s_AnchorsShape, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>),</div><div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;        TestData::s_BoxEncodings,</div><div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160;        TestData::s_Scores,</div><div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;        TestData::s_Anchors,</div><div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;        RegularNmsExpectedResults::s_DetectionBoxes,</div><div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;        RegularNmsExpectedResults::s_DetectionClasses,</div><div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160;        RegularNmsExpectedResults::s_DetectionScores,</div><div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160;        RegularNmsExpectedResults::s_NumDetections,</div><div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;        <span class="keyword">true</span>);</div><div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160;}</div><div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160;</div><div class="line"><a name="l00260"></a><span class="lineno">  260</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> <a class="code" href="_cl_layer_tests_8cpp.html#a255d08081b372809a176b588529296aa">FactoryType</a>,</div><div class="line"><a name="l00261"></a><span class="lineno">  261</span>&#160;         <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> QuantizedType,</div><div class="line"><a name="l00262"></a><span class="lineno">  262</span>&#160;         <span class="keyword">typename</span> RawType = <a class="code" href="namespacearmnn.html#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType&lt;QuantizedType&gt;</a>&gt;</div><div class="line"><a name="l00263"></a><span class="lineno"><a class="line" href="_detection_post_process_test_impl_8hpp.html#a529a27be5db241fb01a7ee08286d2e0a">  263</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="_detection_post_process_test_impl_8hpp.html#a529a27be5db241fb01a7ee08286d2e0a">DetectionPostProcessRegularNmsQuantizedTest</a>()</div><div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;{</div><div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> boxEncodingsInfo(TestData::s_BoxEncodingsShape, QuantizedType);</div><div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> <a class="code" href="_neon_end_to_end_tests_8cpp.html#a64c1dd1b6dd60be9f4a16db9c8f427a5">scoresInfo</a>(TestData::s_ScoresShape, QuantizedType);</div><div class="line"><a name="l00267"></a><span class="lineno">  267</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> <a class="code" href="_neon_end_to_end_tests_8cpp.html#a358cb7cd3c0647b25be049fd734b8c22">anchorsInfo</a>(TestData::s_AnchorsShape, QuantizedType);</div><div class="line"><a name="l00268"></a><span class="lineno">  268</span>&#160;</div><div class="line"><a name="l00269"></a><span class="lineno">  269</span>&#160;    boxEncodingsInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(TestData::s_BoxEncodingsQuantData.first);</div><div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;    boxEncodingsInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(TestData::s_BoxEncodingsQuantData.second);</div><div class="line"><a name="l00271"></a><span class="lineno">  271</span>&#160;</div><div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160; 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                               TestData::s_Scores.data(),</div><div class="line"><a name="l00286"></a><span class="lineno">  286</span>&#160;                                <a class="code" href="_neon_end_to_end_tests_8cpp.html#a64c1dd1b6dd60be9f4a16db9c8f427a5">scoresInfo</a>);</div><div class="line"><a name="l00287"></a><span class="lineno">  287</span>&#160;</div><div class="line"><a name="l00288"></a><span class="lineno">  288</span>&#160;    std::vector&lt;RawType&gt; anchorsData(TestData::s_AnchorsShape.GetNumElements());</div><div class="line"><a name="l00289"></a><span class="lineno">  289</span>&#160;    QuantizeData&lt;QuantizedType&gt;(anchorsData.data(),</div><div class="line"><a name="l00290"></a><span class="lineno">  290</span>&#160;                                TestData::s_Anchors.data(),</div><div class="line"><a name="l00291"></a><span class="lineno">  291</span>&#160;                                <a class="code" href="_neon_end_to_end_tests_8cpp.html#a358cb7cd3c0647b25be049fd734b8c22">anchorsInfo</a>);</div><div class="line"><a name="l00292"></a><span class="lineno">  292</span>&#160;</div><div class="line"><a name="l00293"></a><span class="lineno">  293</span>&#160; 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       RegularNmsExpectedResults::s_DetectionBoxes,</div><div class="line"><a name="l00301"></a><span class="lineno">  301</span>&#160;        RegularNmsExpectedResults::s_DetectionClasses,</div><div class="line"><a name="l00302"></a><span class="lineno">  302</span>&#160;        RegularNmsExpectedResults::s_DetectionScores,</div><div class="line"><a name="l00303"></a><span class="lineno">  303</span>&#160;        RegularNmsExpectedResults::s_NumDetections,</div><div class="line"><a name="l00304"></a><span class="lineno">  304</span>&#160;        <span class="keyword">true</span>);</div><div class="line"><a name="l00305"></a><span class="lineno">  305</span>&#160;}</div><div class="line"><a name="l00306"></a><span class="lineno">  306</span>&#160;</div><div class="line"><a name="l00307"></a><span class="lineno">  307</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> FactoryType&gt;</div><div class="line"><a name="l00308"></a><span class="lineno"><a class="line" href="_detection_post_process_test_impl_8hpp.html#a53950727fa51d571f312789c72db09bc">  308</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="_detection_post_process_test_impl_8hpp.html#a53950727fa51d571f312789c72db09bc">DetectionPostProcessFastNmsFloatTest</a>()</div><div class="line"><a name="l00309"></a><span class="lineno">  309</span>&#160;{</div><div class="line"><a name="l00310"></a><span class="lineno">  310</span>&#160;    <span class="keywordflow">return</span> DetectionPostProcessImpl&lt;FactoryType, armnn::DataType::Float32&gt;(</div><div class="line"><a name="l00311"></a><span class="lineno">  311</span>&#160;        <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(TestData::s_BoxEncodingsShape, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>),</div><div class="line"><a name="l00312"></a><span class="lineno">  312</span>&#160;        <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(TestData::s_ScoresShape, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>),</div><div class="line"><a name="l00313"></a><span class="lineno">  313</span>&#160;        <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(TestData::s_AnchorsShape, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>),</div><div class="line"><a name="l00314"></a><span class="lineno">  314</span>&#160;        TestData::s_BoxEncodings,</div><div class="line"><a name="l00315"></a><span class="lineno">  315</span>&#160;        TestData::s_Scores,</div><div class="line"><a name="l00316"></a><span class="lineno">  316</span>&#160;        TestData::s_Anchors,</div><div class="line"><a name="l00317"></a><span class="lineno">  317</span>&#160;        FastNmsExpectedResults::s_DetectionBoxes,</div><div class="line"><a name="l00318"></a><span class="lineno">  318</span>&#160;        FastNmsExpectedResults::s_DetectionClasses,</div><div class="line"><a name="l00319"></a><span class="lineno">  319</span>&#160;        FastNmsExpectedResults::s_DetectionScores,</div><div class="line"><a name="l00320"></a><span class="lineno">  320</span>&#160;        FastNmsExpectedResults::s_NumDetections,</div><div class="line"><a name="l00321"></a><span class="lineno">  321</span>&#160;        <span class="keyword">false</span>);</div><div class="line"><a name="l00322"></a><span class="lineno">  322</span>&#160;}</div><div class="line"><a name="l00323"></a><span class="lineno">  323</span>&#160;</div><div class="line"><a name="l00324"></a><span class="lineno">  324</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> <a class="code" href="_cl_layer_tests_8cpp.html#a255d08081b372809a176b588529296aa">FactoryType</a>,</div><div class="line"><a name="l00325"></a><span class="lineno">  325</span>&#160;         <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> QuantizedType,</div><div class="line"><a name="l00326"></a><span class="lineno">  326</span>&#160;         <span class="keyword">typename</span> RawType = <a class="code" href="namespacearmnn.html#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType&lt;QuantizedType&gt;</a>&gt;</div><div class="line"><a name="l00327"></a><span class="lineno"><a class="line" href="_detection_post_process_test_impl_8hpp.html#a496f3eb2f8ca9b1e688fbc716f77c448">  327</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="_detection_post_process_test_impl_8hpp.html#a496f3eb2f8ca9b1e688fbc716f77c448">DetectionPostProcessFastNmsQuantizedTest</a>()</div><div class="line"><a name="l00328"></a><span class="lineno">  328</span>&#160;{</div><div class="line"><a name="l00329"></a><span class="lineno">  329</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> boxEncodingsInfo(TestData::s_BoxEncodingsShape, QuantizedType);</div><div class="line"><a name="l00330"></a><span class="lineno">  330</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> <a class="code" href="_neon_end_to_end_tests_8cpp.html#a64c1dd1b6dd60be9f4a16db9c8f427a5">scoresInfo</a>(TestData::s_ScoresShape, QuantizedType);</div><div class="line"><a name="l00331"></a><span class="lineno">  331</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> <a class="code" href="_neon_end_to_end_tests_8cpp.html#a358cb7cd3c0647b25be049fd734b8c22">anchorsInfo</a>(TestData::s_AnchorsShape, QuantizedType);</div><div class="line"><a name="l00332"></a><span class="lineno">  332</span>&#160;</div><div class="line"><a name="l00333"></a><span class="lineno">  333</span>&#160;    boxEncodingsInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(TestData::s_BoxEncodingsQuantData.first);</div><div class="line"><a name="l00334"></a><span class="lineno">  334</span>&#160;    boxEncodingsInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(TestData::s_BoxEncodingsQuantData.second);</div><div class="line"><a name="l00335"></a><span class="lineno">  335</span>&#160;</div><div class="line"><a name="l00336"></a><span class="lineno">  336</span>&#160;    scoresInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(TestData::s_ScoresQuantData.first);</div><div class="line"><a name="l00337"></a><span class="lineno">  337</span>&#160;    scoresInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(TestData::s_ScoresQuantData.second);</div><div class="line"><a name="l00338"></a><span class="lineno">  338</span>&#160;</div><div class="line"><a name="l00339"></a><span class="lineno">  339</span>&#160;    anchorsInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(TestData::s_AnchorsQuantData.first);</div><div class="line"><a name="l00340"></a><span class="lineno">  340</span>&#160;    anchorsInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(TestData::s_BoxEncodingsQuantData.second);</div><div class="line"><a name="l00341"></a><span class="lineno">  341</span>&#160;</div><div class="line"><a name="l00342"></a><span class="lineno">  342</span>&#160;    std::vector&lt;RawType&gt; boxEncodingsData(TestData::s_BoxEncodingsShape.GetNumElements());</div><div class="line"><a name="l00343"></a><span class="lineno">  343</span>&#160;    QuantizeData&lt;QuantizedType&gt;(boxEncodingsData.data(),</div><div class="line"><a name="l00344"></a><span class="lineno">  344</span>&#160;                                TestData::s_BoxEncodings.data(),</div><div class="line"><a name="l00345"></a><span class="lineno">  345</span>&#160;                                boxEncodingsInfo);</div><div class="line"><a name="l00346"></a><span class="lineno">  346</span>&#160;</div><div class="line"><a name="l00347"></a><span class="lineno">  347</span>&#160;    std::vector&lt;RawType&gt; scoresData(TestData::s_ScoresShape.GetNumElements());</div><div class="line"><a name="l00348"></a><span class="lineno">  348</span>&#160;    QuantizeData&lt;QuantizedType&gt;(scoresData.data(),</div><div class="line"><a name="l00349"></a><span class="lineno">  349</span>&#160;                                TestData::s_Scores.data(),</div><div class="line"><a name="l00350"></a><span class="lineno">  350</span>&#160;                                <a class="code" href="_neon_end_to_end_tests_8cpp.html#a64c1dd1b6dd60be9f4a16db9c8f427a5">scoresInfo</a>);</div><div class="line"><a name="l00351"></a><span class="lineno">  351</span>&#160;</div><div class="line"><a name="l00352"></a><span class="lineno">  352</span>&#160;    std::vector&lt;RawType&gt; anchorsData(TestData::s_AnchorsShape.GetNumElements());</div><div class="line"><a name="l00353"></a><span class="lineno">  353</span>&#160;    QuantizeData&lt;QuantizedType&gt;(anchorsData.data(),</div><div class="line"><a name="l00354"></a><span class="lineno">  354</span>&#160;                                TestData::s_Anchors.data(),</div><div class="line"><a name="l00355"></a><span class="lineno">  355</span>&#160;                                <a class="code" href="_neon_end_to_end_tests_8cpp.html#a358cb7cd3c0647b25be049fd734b8c22">anchorsInfo</a>);</div><div class="line"><a name="l00356"></a><span class="lineno">  356</span>&#160;</div><div class="line"><a name="l00357"></a><span class="lineno">  357</span>&#160;    <span class="keywordflow">return</span> DetectionPostProcessImpl&lt;FactoryType, QuantizedType&gt;(</div><div class="line"><a name="l00358"></a><span class="lineno">  358</span>&#160;        boxEncodingsInfo,</div><div class="line"><a name="l00359"></a><span class="lineno">  359</span>&#160;        <a class="code" href="_neon_end_to_end_tests_8cpp.html#a64c1dd1b6dd60be9f4a16db9c8f427a5">scoresInfo</a>,</div><div class="line"><a name="l00360"></a><span class="lineno">  360</span>&#160;        <a class="code" href="_neon_end_to_end_tests_8cpp.html#a358cb7cd3c0647b25be049fd734b8c22">anchorsInfo</a>,</div><div class="line"><a name="l00361"></a><span class="lineno">  361</span>&#160;        boxEncodingsData,</div><div class="line"><a name="l00362"></a><span class="lineno">  362</span>&#160;        scoresData,</div><div class="line"><a name="l00363"></a><span class="lineno">  363</span>&#160;        anchorsData,</div><div class="line"><a name="l00364"></a><span class="lineno">  364</span>&#160;        FastNmsExpectedResults::s_DetectionBoxes,</div><div class="line"><a name="l00365"></a><span class="lineno">  365</span>&#160;        FastNmsExpectedResults::s_DetectionClasses,</div><div class="line"><a name="l00366"></a><span class="lineno">  366</span>&#160;        FastNmsExpectedResults::s_DetectionScores,</div><div class="line"><a name="l00367"></a><span class="lineno">  367</span>&#160;        FastNmsExpectedResults::s_NumDetections,</div><div class="line"><a name="l00368"></a><span class="lineno">  368</span>&#160;        <span class="keyword">false</span>);</div><div class="line"><a name="l00369"></a><span class="lineno">  369</span>&#160;}</div><div class="ttc" id="_tensor_copy_utils_8cpp_html_afaaca8c3f3a467d124bba44067d2afa8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.html#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.html#l00019">TensorCopyUtils.cpp:19</a></div></div>
+<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_html_ae64523937ea910030ad66fee6fddd51f"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.html#ae64523937ea910030ad66fee6fddd51f">armnn::DetectionPostProcessDescriptor::m_ScaleX</a></div><div class="ttdeci">float m_ScaleX</div><div class="ttdoc">Center size encoding scale x. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00541">Descriptors.hpp:541</a></div></div>
+<div class="ttc" id="_workload_factory_8hpp_html"><div class="ttname"><a href="_workload_factory_8hpp.html">WorkloadFactory.hpp</a></div></div>
+<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_html_a9ae2c9796692ebeafe19a4d3f09c8ea8"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.html#a9ae2c9796692ebeafe19a4d3f09c8ea8">armnn::DetectionPostProcessDescriptor::m_MaxClassesPerDetection</a></div><div class="ttdeci">uint32_t m_MaxClassesPerDetection</div><div class="ttdoc">Maximum numbers of classes per detection, used in Fast NMS. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00529">Descriptors.hpp:529</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_info_html_a770b51078da02f44a819e9f95d8058b5"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#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.html#l00264">Tensor.cpp:264</a></div></div>
+<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_html_a3a04b0ccee4bb2f21721ee5045e83df4"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.html#a3a04b0ccee4bb2f21721ee5045e83df4">armnn::DetectionPostProcessDescriptor::m_NumClasses</a></div><div class="ttdeci">uint32_t m_NumClasses</div><div class="ttdoc">Number of classes. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00537">Descriptors.hpp:537</a></div></div>
+<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_html_ab509802c659de19929f18bad14a35c58"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.html#ab509802c659de19929f18bad14a35c58">armnn::DetectionPostProcessDescriptor::m_ScaleW</a></div><div class="ttdeci">float m_ScaleW</div><div class="ttdoc">Center size encoding scale weight. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00545">Descriptors.hpp:545</a></div></div>
+<div class="ttc" id="_tensor_copy_utils_8cpp_html_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.html#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.html#l00009">TensorCopyUtils.cpp:9</a></div></div>
+<div class="ttc" id="_detection_post_process_test_impl_8hpp_html_a53950727fa51d571f312789c72db09bc"><div class="ttname"><a href="_detection_post_process_test_impl_8hpp.html#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.html#l00308">DetectionPostProcessTestImpl.hpp:308</a></div></div>
+<div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_html_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00049">WorkloadData.hpp:49</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div>
+<div class="ttc" id="structarmnn_1_1_detection_post_process_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_queue_descriptor.html">armnn::DetectionPostProcessQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00197">WorkloadData.hpp:197</a></div></div>
+<div class="ttc" id="struct_layer_test_result_html"><div class="ttname"><a href="struct_layer_test_result.html">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.html#l00029">LayerTestResult.hpp:29</a></div></div>
+<div class="ttc" id="_tensor_copy_utils_8cpp_html_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.html#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a></div><div class="ttdeci">void CopyDataFromITensorHandle(void *memory, const armnn::ITensorHandle *tensorHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.html#l00014">TensorCopyUtils.cpp:14</a></div></div>
+<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_html_a7a2156ec7d9c012ce00bbcc6afcb9028"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.html#a7a2156ec7d9c012ce00bbcc6afcb9028">armnn::DetectionPostProcessDescriptor::m_ScaleY</a></div><div class="ttdeci">float m_ScaleY</div><div class="ttdoc">Center size encoding scale y. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00543">Descriptors.hpp:543</a></div></div>
+<div class="ttc" id="structarmnn_1_1_workload_info_html"><div class="ttname"><a href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.html#l00016">WorkloadInfo.hpp:16</a></div></div>
+<div class="ttc" id="namespacearmnn_html_a0743ed5e860c316a20b68ca96301b411"><div class="ttname"><a href="namespacearmnn.html#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a></div><div class="ttdeci">typename ResolveTypeImpl&lt; DT &gt;::Type ResolveType</div><div class="ttdef"><b>Definition:</b> <a href="_resolve_type_8hpp_source.html#l00066">ResolveType.hpp:66</a></div></div>
+<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
+<div class="ttc" id="_resolve_type_8hpp_html"><div class="ttname"><a href="_resolve_type_8hpp.html">ResolveType.hpp</a></div></div>
+<div class="ttc" id="_detection_post_process_test_impl_8hpp_html_ae7a0cad618fa649079d11502ecdd7691"><div class="ttname"><a href="_detection_post_process_test_impl_8hpp.html#ae7a0cad618fa649079d11502ecdd7691">QuantizeData</a></div><div class="ttdeci">void QuantizeData(RawType *quant, const float *dequant, const armnn::TensorInfo &amp;info)</div><div class="ttdef"><b>Definition:</b> <a href="_detection_post_process_test_impl_8hpp_source.html#l00234">DetectionPostProcessTestImpl.hpp:234</a></div></div>
+<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_html_a7ed9bc7c26df67d274d5dd4cd83adf0f"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.html#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.html#l00539">Descriptors.hpp:539</a></div></div>
+<div class="ttc" id="_neon_end_to_end_tests_8cpp_html_a64c1dd1b6dd60be9f4a16db9c8f427a5"><div class="ttname"><a href="_neon_end_to_end_tests_8cpp.html#a64c1dd1b6dd60be9f4a16db9c8f427a5">scoresInfo</a></div><div class="ttdeci">armnn::TensorInfo scoresInfo({ 1, 6, 3 }, armnn::DataType::Float32)</div></div>
+<div class="ttc" id="_neon_end_to_end_tests_8cpp_html_a0348e6bb67ace72535bd105219bb6237"><div class="ttname"><a href="_neon_end_to_end_tests_8cpp.html#a0348e6bb67ace72535bd105219bb6237">scores</a></div><div class="ttdeci">std::vector&lt; float &gt; scores({ 0.0f, 0.9f, 0.8f, 0.0f, 0.75f, 0.72f, 0.0f, 0.6f, 0.5f, 0.0f, 0.93f, 0.95f, 0.0f, 0.5f, 0.4f, 0.0f, 0.3f, 0.2f })</div></div>
+<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_html_a53c8a7f33a40e1e240256bcfcf41b101"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.html#a53c8a7f33a40e1e240256bcfcf41b101">armnn::DetectionPostProcessDescriptor::m_NmsIouThreshold</a></div><div class="ttdeci">float m_NmsIouThreshold</div><div class="ttdoc">Intersection over union threshold. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00535">Descriptors.hpp:535</a></div></div>
+<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_html_a7e2f87544b8bc7e497e1dec8d3ca4055"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.html#a7e2f87544b8bc7e497e1dec8d3ca4055">armnn::DetectionPostProcessDescriptor::m_DetectionsPerClass</a></div><div class="ttdeci">uint32_t m_DetectionsPerClass</div><div class="ttdoc">Detections per classes, used in Regular NMS. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00531">Descriptors.hpp:531</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_info_html_a685739c4eb65a580e075282cfe6787d6"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#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.html#l00259">Tensor.cpp:259</a></div></div>
+<div class="ttc" id="_detection_post_process_test_impl_8hpp_html_a529a27be5db241fb01a7ee08286d2e0a"><div class="ttname"><a href="_detection_post_process_test_impl_8hpp.html#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.html#l00263">DetectionPostProcessTestImpl.hpp:263</a></div></div>
+<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_html_a4392dd6b4862cc9cf95ae8f1001ba592"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.html#a4392dd6b4862cc9cf95ae8f1001ba592">armnn::DetectionPostProcessDescriptor::m_NmsScoreThreshold</a></div><div class="ttdeci">float m_NmsScoreThreshold</div><div class="ttdoc">NMS score threshold. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00533">Descriptors.hpp:533</a></div></div>
+<div class="ttc" id="_types_8hpp_html"><div class="ttname"><a href="_types_8hpp.html">Types.hpp</a></div></div>
+<div class="ttc" id="_neon_end_to_end_tests_8cpp_html_ada422a73ac4e68bcb1b1b1f0b44028d9"><div class="ttname"><a href="_neon_end_to_end_tests_8cpp.html#ada422a73ac4e68bcb1b1b1f0b44028d9">boxEncodings</a></div><div class="ttdeci">std::vector&lt; float &gt; boxEncodings({ 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 1.0f, 0.0f, 0.0f, 0.0f, -1.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 1.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f })</div></div>
+<div class="ttc" id="_detection_post_process_test_impl_8hpp_html_abcb5860eb1d6f41eabf48d985b51da3b"><div class="ttname"><a href="_detection_post_process_test_impl_8hpp.html#abcb5860eb1d6f41eabf48d985b51da3b">DetectionPostProcessImpl</a></div><div class="ttdeci">void DetectionPostProcessImpl(const armnn::TensorInfo &amp;boxEncodingsInfo, const armnn::TensorInfo &amp;scoresInfo, const armnn::TensorInfo &amp;anchorsInfo, const std::vector&lt; T &gt; &amp;boxEncodingsData, const std::vector&lt; T &gt; &amp;scoresData, const std::vector&lt; T &gt; &amp;anchorsData, const std::vector&lt; float &gt; &amp;expectedDetectionBoxes, const std::vector&lt; float &gt; &amp;expectedDetectionClasses, const std::vector&lt; float &gt; &amp;expectedDetectionScores, const std::vector&lt; float &gt; &amp;expectedNumDetections, bool useRegularNms)</div><div class="ttdef"><b>Definition:</b> <a href="_detection_post_process_test_impl_8hpp_source.html#l00139">DetectionPostProcessTestImpl.hpp:139</a></div></div>
+<div class="ttc" id="_workload_test_utils_8hpp_html"><div class="ttname"><a href="_workload_test_utils_8hpp.html">WorkloadTestUtils.hpp</a></div></div>
+<div class="ttc" id="_cl_layer_tests_8cpp_html_a255d08081b372809a176b588529296aa"><div class="ttname"><a href="_cl_layer_tests_8cpp.html#a255d08081b372809a176b588529296aa">FactoryType</a></div><div class="ttdeci">ClWorkloadFactory FactoryType</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_tests_8cpp_source.html#l00031">ClLayerTests.cpp:31</a></div></div>
+<div class="ttc" id="include_2armnn_2backends_2_i_backend_internal_8hpp_html"><div class="ttname"><a href="include_2armnn_2backends_2_i_backend_internal_8hpp.html">IBackendInternal.hpp</a></div></div>
+<div class="ttc" id="_cpu_tensor_handle_8hpp_html"><div class="ttname"><a href="_cpu_tensor_handle_8hpp.html">CpuTensorHandle.hpp</a></div></div>
+<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00032">Types.hpp:32</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div>
+<div class="ttc" id="classarmnn_1_1_profiler_manager_html_a029a40ab5d837b3d4f5d3900ceb6a8f9"><div class="ttname"><a href="classarmnn_1_1_profiler_manager.html#a029a40ab5d837b3d4f5d3900ceb6a8f9">armnn::ProfilerManager::RegisterProfiler</a></div><div class="ttdeci">void RegisterProfiler(Profiler *profiler)</div><div class="ttdef"><b>Definition:</b> <a href="_profiling_8cpp_source.html#l00493">Profiling.cpp:493</a></div></div>
+<div class="ttc" id="_neon_end_to_end_tests_8cpp_html_ac0981848e4ae57729f14f72bd4caa9f8"><div class="ttname"><a href="_neon_end_to_end_tests_8cpp.html#ac0981848e4ae57729f14f72bd4caa9f8">anchors</a></div><div class="ttdeci">std::vector&lt; float &gt; anchors({ 0.5f, 0.5f, 1.0f, 1.0f, 0.5f, 0.5f, 1.0f, 1.0f, 0.5f, 0.5f, 1.0f, 1.0f, 0.5f, 10.5f, 1.0f, 1.0f, 0.5f, 10.5f, 1.0f, 1.0f, 0.5f, 100.5f, 1.0f, 1.0f })</div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_info_html_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#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.html#l00093">Tensor.hpp:93</a></div></div>
+<div class="ttc" id="structarmnn_1_1_detection_post_process_queue_descriptor_html_a6e2a2a531bc3637a9bac63f0f98b8de2"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_queue_descriptor.html#a6e2a2a531bc3637a9bac63f0f98b8de2">armnn::DetectionPostProcessQueueDescriptor::m_Anchors</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_Anchors</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00204">WorkloadData.hpp:204</a></div></div>
+<div class="ttc" id="_detection_post_process_test_impl_8hpp_html_a41f47226e626cee4e116cddb477aaffa"><div class="ttname"><a href="_detection_post_process_test_impl_8hpp.html#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.html#l00244">DetectionPostProcessTestImpl.hpp:244</a></div></div>
+<div class="ttc" id="_neon_end_to_end_tests_8cpp_html_a358cb7cd3c0647b25be049fd734b8c22"><div class="ttname"><a href="_neon_end_to_end_tests_8cpp.html#a358cb7cd3c0647b25be049fd734b8c22">anchorsInfo</a></div><div class="ttdeci">armnn::TensorInfo anchorsInfo({ 6, 4 }, armnn::DataType::Float32)</div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_info_html_a63cbc581012c957f9d68d224ddc3e43c"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#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.html#l00275">Tensor.cpp:275</a></div></div>
+<div class="ttc" id="_detection_post_process_test_impl_8hpp_html_a496f3eb2f8ca9b1e688fbc716f77c448"><div class="ttname"><a href="_detection_post_process_test_impl_8hpp.html#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.html#l00327">DetectionPostProcessTestImpl.hpp:327</a></div></div>
+<div class="ttc" id="classarmnn_1_1_profiler_manager_html_a93857080c2523bf3395e7aa7e6024d5c"><div class="ttname"><a href="classarmnn_1_1_profiler_manager.html#a93857080c2523bf3395e7aa7e6024d5c">armnn::ProfilerManager::GetInstance</a></div><div class="ttdeci">static ProfilerManager &amp; GetInstance()</div><div class="ttdef"><b>Definition:</b> <a href="_profiling_8cpp_source.html#l00486">Profiling.cpp:486</a></div></div>
+<div class="ttc" id="classarmnn_1_1_scoped_cpu_tensor_handle_html"><div class="ttname"><a href="classarmnn_1_1_scoped_cpu_tensor_handle.html">armnn::ScopedCpuTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.html#l00106">CpuTensorHandle.hpp:106</a></div></div>
+<div class="ttc" id="_tensor_copy_utils_8hpp_html"><div class="ttname"><a href="_tensor_copy_utils_8hpp.html">TensorCopyUtils.hpp</a></div></div>
+<div class="ttc" id="_tensor_helpers_8hpp_html_a0b8fbb443d2cf34a41f6aaae934e3dcb"><div class="ttname"><a href="_tensor_helpers_8hpp.html#a0b8fbb443d2cf34a41f6aaae934e3dcb">CompareTensors</a></div><div class="ttdeci">boost::test_tools::predicate_result CompareTensors(const boost::multi_array&lt; T, n &gt; &amp;a, const boost::multi_array&lt; T, n &gt; &amp;b, bool compareBoolean=false)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_helpers_8hpp_source.html#l00075">TensorHelpers.hpp:75</a></div></div>
+<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_html_aa61510cbd529870182e918ac6e8b9d72"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.html#aa61510cbd529870182e918ac6e8b9d72">armnn::DetectionPostProcessDescriptor::m_ScaleH</a></div><div class="ttdeci">float m_ScaleH</div><div class="ttdoc">Center size encoding scale height. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00547">Descriptors.hpp:547</a></div></div>
+<div class="ttc" id="_tensor_helpers_8hpp_html"><div class="ttname"><a href="_tensor_helpers_8hpp.html">TensorHelpers.hpp</a></div></div>
+<div class="ttc" id="_workload_factory_helper_8hpp_html"><div class="ttname"><a href="_workload_factory_helper_8hpp.html">WorkloadFactoryHelper.hpp</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_info_html_a047ca888c43bd7fb5702853bf72410d0"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a047ca888c43bd7fb5702853bf72410d0">armnn::TensorInfo::GetQuantizationScale</a></div><div class="ttdeci">float GetQuantizationScale() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00247">Tensor.cpp:247</a></div></div>
+<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_html_ae72089bcab60ac175557f4241b16a014"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.html#ae72089bcab60ac175557f4241b16a014">armnn::DetectionPostProcessDescriptor::m_MaxDetections</a></div><div class="ttdeci">uint32_t m_MaxDetections</div><div class="ttdoc">Maximum numbers of detections. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00527">Descriptors.hpp:527</a></div></div>
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commit	de36e4a9c299028e792c3a5bd99ad0816d806077	[log] [tgz]
author	Ryan OShea <Ryan.OShea2@arm.com>	Fri Mar 13 16:26:19 2020 +0000
committer	Ryan OShea <Ryan.OShea2@arm.com>	Fri Mar 13 16:26:19 2020 +0000
tree	6c71d89db68da1033bb422253cee2970580ed692
parent	78b26f024641e763c7252198339c83bad8c0982f [diff] [blame]