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| author | Nikhil Raj <nikhil.raj@arm.com> | 2022-03-08 20:01:38 +0000 |
|---|---|---|
| committer | Nikhil Raj <nikhil.raj@arm.com> | 2022-03-09 12:26:14 +0000 |
| commit | f4019872c1134c6fcc1d6993e5746f55c1e79208 (patch) | |
| tree | b07ea8bdd70d696adfa3814344e210ea67be1e8c /22.02/include_2armnn_test_utils_2_tensor_helpers_8hpp.xhtml | |
| parent | 0d75c02b21b919b81035205f3914ee273b93b30c (diff) | |
| download | armnn-f4019872c1134c6fcc1d6993e5746f55c1e79208.tar.gz | |
IVGCVSW-6819 Fix the directory structure and broken link to latest docu
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I05b559d15faf92c76ff536719693b361316be4f3
Diffstat (limited to '22.02/include_2armnn_test_utils_2_tensor_helpers_8hpp.xhtml')
| -rw-r--r-- | 22.02/include_2armnn_test_utils_2_tensor_helpers_8hpp.xhtml | 355 |
1 files changed, 355 insertions, 0 deletions
diff --git a/22.02/include_2armnn_test_utils_2_tensor_helpers_8hpp.xhtml b/22.02/include_2armnn_test_utils_2_tensor_helpers_8hpp.xhtml new file mode 100644 index 0000000000..4393ab513d --- /dev/null +++ b/22.02/include_2armnn_test_utils_2_tensor_helpers_8hpp.xhtml @@ -0,0 +1,355 @@ +<!-- 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: include/armnnTestUtils/TensorHelpers.hpp File Reference</title> +<link href="tabs.css" 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href="#nested-classes">Classes</a> | +<a href="#func-members">Functions</a> | +<a href="#var-members">Variables</a> </div> + <div class="headertitle"> +<div class="title">TensorHelpers.hpp File Reference</div> </div> +</div><!--header--> +<div class="contents"> +<div class="textblock"><code>#include <<a class="el" href="include_2armnn_test_utils_2_predicate_result_8hpp_source.xhtml">armnnTestUtils/PredicateResult.hpp</a>></code><br /> +<code>#include <<a class="el" href="_tensor_8hpp_source.xhtml">armnn/Tensor.hpp</a>></code><br /> +<code>#include <<a class="el" href="_assert_8hpp_source.xhtml">armnn/utility/Assert.hpp</a>></code><br /> +<code>#include <<a class="el" href="_floating_point_comparison_8hpp_source.xhtml">armnnUtils/FloatingPointComparison.hpp</a>></code><br /> +<code>#include <<a class="el" href="_quantize_helper_8hpp_source.xhtml">armnnUtils/QuantizeHelper.hpp</a>></code><br /> +<code>#include <doctest/doctest.h></code><br /> +<code>#include <array></code><br /> +<code>#include <cmath></code><br /> +<code>#include <random></code><br /> +<code>#include <vector></code><br /> +</div> +<p><a href="include_2armnn_test_utils_2_tensor_helpers_8hpp_source.xhtml">Go to the source code of this file.</a></p> +<table class="memberdecls"> +<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="nested-classes"></a> +Classes</h2></td></tr> +<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct  </td><td class="memItemRight" valign="bottom"><a class="el" href="struct_selective_comparer.xhtml">SelectiveComparer< T, isQuantized ></a></td></tr> +<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct  </td><td class="memItemRight" valign="bottom"><a class="el" href="struct_selective_comparer_3_01_t_00_01false_01_4.xhtml">SelectiveComparer< T, false ></a></td></tr> +<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> +</table><table class="memberdecls"> +<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a> +Functions</h2></td></tr> +<tr class="memitem:a833e7db5d5f7e93102e80de57a602cf7"><td class="memTemplParams" colspan="2">template<typename T > </td></tr> +<tr class="memitem:a833e7db5d5f7e93102e80de57a602cf7"><td class="memTemplItemLeft" align="right" valign="top">bool </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="include_2armnn_test_utils_2_tensor_helpers_8hpp.xhtml#a833e7db5d5f7e93102e80de57a602cf7">SelectiveCompare</a> (T a, T b)</td></tr> +<tr class="separator:a833e7db5d5f7e93102e80de57a602cf7"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a617427516e17888a138c16d3af503cfd"><td class="memTemplParams" colspan="2">template<typename T > </td></tr> +<tr class="memitem:a617427516e17888a138c16d3af503cfd"><td class="memTemplItemLeft" align="right" valign="top">bool </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="include_2armnn_test_utils_2_tensor_helpers_8hpp.xhtml#a617427516e17888a138c16d3af503cfd">SelectiveCompareBoolean</a> (T a, T b)</td></tr> +<tr class="separator:a617427516e17888a138c16d3af503cfd"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a5fea88a1c3398e303fb83b6db155ff2d"><td class="memTemplParams" colspan="2">template<typename T > </td></tr> +<tr class="memitem:a5fea88a1c3398e303fb83b6db155ff2d"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_predicate_result.xhtml">armnn::PredicateResult</a> </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="include_2armnn_test_utils_2_tensor_helpers_8hpp.xhtml#a5fea88a1c3398e303fb83b6db155ff2d">CompareTensors</a> (const std::vector< T > &actualData, const std::vector< T > &expectedData, const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> &actualShape, const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> &expectedShape, bool compareBoolean=false, bool isDynamic=false)</td></tr> +<tr class="separator:a5fea88a1c3398e303fb83b6db155ff2d"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:abdda5547ba6afc4fb7f6521d3bfef95d"><td class="memTemplParams" colspan="2">template<typename T > </td></tr> +<tr class="memitem:abdda5547ba6afc4fb7f6521d3bfef95d"><td class="memTemplItemLeft" align="right" valign="top">std::vector< T > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="include_2armnn_test_utils_2_tensor_helpers_8hpp.xhtml#abdda5547ba6afc4fb7f6521d3bfef95d">MakeRandomTensor</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> &tensorInfo, unsigned int seed, float min=-10.0f, float max=10.0f)</td></tr> +<tr class="separator:abdda5547ba6afc4fb7f6521d3bfef95d"><td class="memSeparator" colspan="2"> </td></tr> +</table><table class="memberdecls"> +<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="var-members"></a> +Variables</h2></td></tr> +<tr class="memitem:a1ed60e4e5a0ec57f6483904e11fbd781"><td class="memItemLeft" align="right" valign="top">constexpr float </td><td class="memItemRight" valign="bottom"><a class="el" href="include_2armnn_test_utils_2_tensor_helpers_8hpp.xhtml#a1ed60e4e5a0ec57f6483904e11fbd781">g_FloatCloseToZeroTolerance</a> = 1.0e-6f</td></tr> +<tr class="separator:a1ed60e4e5a0ec57f6483904e11fbd781"><td class="memSeparator" colspan="2"> </td></tr> +</table> +<h2 class="groupheader">Function Documentation</h2> +<a id="a5fea88a1c3398e303fb83b6db155ff2d"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a5fea88a1c3398e303fb83b6db155ff2d">◆ </a></span>CompareTensors()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="classarmnn_1_1_predicate_result.xhtml">armnn::PredicateResult</a> CompareTensors </td> + <td>(</td> + <td class="paramtype">const std::vector< T > & </td> + <td class="paramname"><em>actualData</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::vector< T > & </td> + <td class="paramname"><em>expectedData</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> & </td> + <td class="paramname"><em>actualShape</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> & </td> + <td class="paramname"><em>expectedShape</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">bool </td> + <td class="paramname"><em>compareBoolean</em> = <code>false</code>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">bool </td> + <td class="paramname"><em>isDynamic</em> = <code>false</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="include_2armnn_test_utils_2_tensor_helpers_8hpp_source.xhtml#l00073">73</a> of file <a class="el" href="include_2armnn_test_utils_2_tensor_helpers_8hpp_source.xhtml">TensorHelpers.hpp</a>.</p> + +<p class="reference">References <a class="el" href="_tensor_8cpp_source.xhtml#l00174">TensorShape::GetNumDimensions()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00181">TensorShape::GetNumElements()</a>, <a class="el" href="include_2armnn_test_utils_2_predicate_result_8hpp_source.xhtml#l00029">PredicateResult::Message()</a>, <a class="el" href="include_2armnn_test_utils_2_tensor_helpers_8hpp_source.xhtml#l00061">SelectiveCompare()</a>, <a class="el" href="include_2armnn_test_utils_2_tensor_helpers_8hpp_source.xhtml#l00067">SelectiveCompareBoolean()</a>, and <a class="el" href="include_2armnn_test_utils_2_predicate_result_8hpp_source.xhtml#l00024">PredicateResult::SetResult()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="est_utils_2_unit_tests_8hpp_source.xhtml#l00043">CompareTestResultIfSupported()</a>, <a class="el" href="_detection_post_process_test_impl_8hpp_source.xhtml#l00141">DetectionPostProcessImpl()</a>, <a class="el" href="_parser_prototxt_fixture_8hpp_source.xhtml#l00203">ParserPrototxtFixture< TParser >::RunTest()</a>, <a class="el" href="_parser_flatbuffers_serialize_fixture_8hpp_source.xhtml#l00202">ParserFlatbuffersSerializeFixture::RunTest()</a>, <a class="el" href="_parser_flatbuffers_fixture_8hpp_source.xhtml#l00339">ParserFlatbuffersFixture::RunTest()</a>, <a class="el" href="_mem_copy_tests_8cpp_source.xhtml#l00089">TEST_CASE_FIXTURE()</a>, and <a class="el" href="_cl_mem_copy_tests_8cpp_source.xhtml#l00036">TEST_SUITE()</a>.</p> +<div class="fragment"><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>  <span class="keywordflow">if</span> (actualData.size() != expectedData.size())</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  {</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <a class="code" href="classarmnn_1_1_predicate_result.xhtml">armnn::PredicateResult</a> res(<span class="keyword">false</span>);</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  res.Message() << <span class="stringliteral">"Different data size ["</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  << actualData.size()</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  << <span class="stringliteral">"!="</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  << expectedData.size()</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  << <span class="stringliteral">"]"</span>;</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordflow">return</span> res;</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> </div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="keywordflow">if</span> (actualShape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() != expectedShape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>())</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  {</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <a class="code" href="classarmnn_1_1_predicate_result.xhtml">armnn::PredicateResult</a> res(<span class="keyword">false</span>);</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  res.Message() << <span class="stringliteral">"Different number of dimensions ["</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  << actualShape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>()</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  << <span class="stringliteral">"!="</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  << expectedShape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>()</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  << <span class="stringliteral">"]"</span>;</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keywordflow">return</span> res;</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  }</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> </div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keywordflow">if</span> (actualShape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>() != expectedShape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>())</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>  <a class="code" href="classarmnn_1_1_predicate_result.xhtml">armnn::PredicateResult</a> res(<span class="keyword">false</span>);</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  res.Message() << <span class="stringliteral">"Different number of elements ["</span></div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  << actualShape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>()</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  << <span class="stringliteral">"!="</span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  << expectedShape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>()</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  << <span class="stringliteral">"]"</span>;</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keywordflow">return</span> res;</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> </div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numberOfDimensions = actualShape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</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="keywordflow">if</span> (!isDynamic)</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="comment">// Checks they are same shape.</span></div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < numberOfDimensions; ++i)</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  {</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="keywordflow">if</span> (actualShape[i] != expectedShape[i])</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  {</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <a class="code" href="classarmnn_1_1_predicate_result.xhtml">armnn::PredicateResult</a> res(<span class="keyword">false</span>);</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  res.Message() << <span class="stringliteral">"Different shapes ["</span></div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  << actualShape[i]</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  << <span class="stringliteral">"!="</span></div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  << expectedShape[i]</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  << <span class="stringliteral">"]"</span>;</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keywordflow">return</span> res;</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  }</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  }</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  }</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> </div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="comment">// Fun iteration over n dimensions.</span></div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  std::vector<unsigned int> indices;</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < numberOfDimensions; i++)</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  {</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  indices.emplace_back(0);</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  }</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> </div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  std::stringstream errorString;</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keywordtype">int</span> numFailedElements = 0;</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  constexpr <span class="keywordtype">int</span> maxReportedDifferences = 3;</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> index = 0;</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span> </div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="comment">// Compare data element by element.</span></div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keywordflow">while</span> (<span class="keyword">true</span>)</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  {</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keywordtype">bool</span> comparison;</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="comment">// As true for uint8_t is non-zero (1-255) we must have a dedicated compare for Booleans.</span></div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="keywordflow">if</span>(compareBoolean)</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  {</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  comparison = <a class="code" href="include_2armnn_test_utils_2_tensor_helpers_8hpp.xhtml#a617427516e17888a138c16d3af503cfd">SelectiveCompareBoolean</a>(actualData[index], expectedData[index]);</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  }</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="keywordflow">else</span></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>  comparison = <a class="code" href="include_2armnn_test_utils_2_tensor_helpers_8hpp.xhtml#a833e7db5d5f7e93102e80de57a602cf7">SelectiveCompare</a>(actualData[index], expectedData[index]);</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  }</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> </div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="keywordflow">if</span> (!comparison)</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  {</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  ++numFailedElements;</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span> </div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="keywordflow">if</span> (numFailedElements <= maxReportedDifferences)</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>  <span class="keywordflow">if</span> (numFailedElements >= 2)</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  {</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  errorString << <span class="stringliteral">", "</span>;</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  }</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  errorString << <span class="stringliteral">"["</span>;</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < numberOfDimensions; ++i)</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  {</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  errorString << indices[i];</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keywordflow">if</span> (i != numberOfDimensions - 1)</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  {</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  errorString << <span class="stringliteral">","</span>;</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  }</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  }</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  errorString << <span class="stringliteral">"]"</span>;</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span> </div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  errorString << <span class="stringliteral">" ("</span> << +actualData[index] << <span class="stringliteral">" != "</span> << +expectedData[index] << <span class="stringliteral">")"</span>;</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  }</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  }</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span> </div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  ++indices[numberOfDimensions - 1];</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i=numberOfDimensions-1; i>0; i--)</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  {</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="keywordflow">if</span> (indices[i] == actualShape[i])</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  {</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  indices[i] = 0;</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  ++indices[i - 1];</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  }</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  }</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <span class="keywordflow">if</span> (indices[0] == actualShape[0])</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>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  }</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span> </div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  index++;</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  }</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span> </div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <a class="code" href="classarmnn_1_1_predicate_result.xhtml">armnn::PredicateResult</a> comparisonResult(<span class="keyword">true</span>);</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <span class="keywordflow">if</span> (numFailedElements > 0)</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  {</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  comparisonResult.SetResult(<span class="keyword">false</span>);</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  comparisonResult.Message() << numFailedElements << <span class="stringliteral">" different values at: "</span>;</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="keywordflow">if</span> (numFailedElements > maxReportedDifferences)</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  {</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  errorString << <span class="stringliteral">", ... (and "</span> << (numFailedElements - maxReportedDifferences) << <span class="stringliteral">" other differences)"</span>;</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  }</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  comparisonResult.Message() << errorString.str();</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  }</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span> </div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="keywordflow">return</span> comparisonResult;</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">armnn::TensorShape::GetNumElements</a></div><div class="ttdeci">unsigned int GetNumElements() const</div><div class="ttdoc">Function that calculates the tensor elements by multiplying all dimension size which are Specified...</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00181">Tensor.cpp:181</a></div></div> +<div class="ttc" id="classarmnn_1_1_predicate_result_xhtml"><div class="ttname"><a href="classarmnn_1_1_predicate_result.xhtml">armnn::PredicateResult</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_test_utils_2_predicate_result_8hpp_source.xhtml#l00012">PredicateResult.hpp:12</a></div></div> +<div class="ttc" id="include_2armnn_test_utils_2_tensor_helpers_8hpp_xhtml_a617427516e17888a138c16d3af503cfd"><div class="ttname"><a href="include_2armnn_test_utils_2_tensor_helpers_8hpp.xhtml#a617427516e17888a138c16d3af503cfd">SelectiveCompareBoolean</a></div><div class="ttdeci">bool SelectiveCompareBoolean(T a, T b)</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_test_utils_2_tensor_helpers_8hpp_source.xhtml#l00067">TensorHelpers.hpp:67</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorShape::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdoc">Function that returns the tensor rank. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00174">Tensor.cpp:174</a></div></div> +<div class="ttc" id="include_2armnn_test_utils_2_tensor_helpers_8hpp_xhtml_a833e7db5d5f7e93102e80de57a602cf7"><div class="ttname"><a href="include_2armnn_test_utils_2_tensor_helpers_8hpp.xhtml#a833e7db5d5f7e93102e80de57a602cf7">SelectiveCompare</a></div><div class="ttdeci">bool SelectiveCompare(T a, T b)</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_test_utils_2_tensor_helpers_8hpp_source.xhtml#l00061">TensorHelpers.hpp:61</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="abdda5547ba6afc4fb7f6521d3bfef95d"></a> +<h2 class="memtitle"><span class="permalink"><a href="#abdda5547ba6afc4fb7f6521d3bfef95d">◆ </a></span>MakeRandomTensor()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">std::vector<T> MakeRandomTensor </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> & </td> + <td class="paramname"><em>tensorInfo</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">unsigned int </td> + <td class="paramname"><em>seed</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>min</em> = <code>-10.0f</code>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>max</em> = <code>10.0f</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="include_2armnn_test_utils_2_tensor_helpers_8hpp_source.xhtml#l00217">217</a> of file <a class="el" href="include_2armnn_test_utils_2_tensor_helpers_8hpp_source.xhtml">TensorHelpers.hpp</a>.</p> + +<p class="reference">References <a class="el" href="_tensor_8hpp_source.xhtml#l00196">TensorInfo::GetNumElements()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00480">TensorInfo::GetQuantizationOffset()</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00463">TensorInfo::GetQuantizationScale()</a>.</p> +<div class="fragment"><div class="line"><a name="l00221"></a><span class="lineno"> 221</span> {</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  std::mt19937 gen(seed);</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  std::uniform_real_distribution<float> dist(min, max);</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span> </div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  std::vector<float> init(tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>());</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < init.size(); i++)</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  {</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  init[i] = dist(gen);</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  }</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span> </div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> qScale = tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>();</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keyword">const</span> int32_t qOffset = tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>();</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span> </div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="keywordflow">return</span> armnnUtils::QuantizedVector<T>(init, qScale, qOffset);</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span> }</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#l00480">Tensor.cpp:480</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#l00463">Tensor.cpp:463</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><!-- fragment --> +</div> +</div> +<a id="a833e7db5d5f7e93102e80de57a602cf7"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a833e7db5d5f7e93102e80de57a602cf7">◆ </a></span>SelectiveCompare()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool SelectiveCompare </td> + <td>(</td> + <td class="paramtype">T </td> + <td class="paramname"><em>a</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">T </td> + <td class="paramname"><em>b</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="include_2armnn_test_utils_2_tensor_helpers_8hpp_source.xhtml#l00061">61</a> of file <a class="el" href="include_2armnn_test_utils_2_tensor_helpers_8hpp_source.xhtml">TensorHelpers.hpp</a>.</p> + +<p class="reference">References <a class="el" href="include_2armnn_test_utils_2_tensor_helpers_8hpp_source.xhtml#l00027">SelectiveComparer< T, isQuantized >::Compare()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="include_2armnn_test_utils_2_tensor_helpers_8hpp_source.xhtml#l00073">CompareTensors()</a>.</p> +<div class="fragment"><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> {</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordflow">return</span> <a class="code" href="struct_selective_comparer.xhtml">SelectiveComparer<T, armnn::IsQuantizedType<T></a>()>::<a class="code" href="armnn_test_utils_2_common_test_utils_8hpp.xhtml#ae828f1d70436f4ad1e74a5c4ecf96929">Compare</a>(a, b);</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> };</div><div class="ttc" id="armnn_test_utils_2_common_test_utils_8hpp_xhtml_ae828f1d70436f4ad1e74a5c4ecf96929"><div class="ttname"><a href="armnn_test_utils_2_common_test_utils_8hpp.xhtml#ae828f1d70436f4ad1e74a5c4ecf96929">Compare</a></div><div class="ttdeci">bool Compare(T a, T b, float tolerance=0.000001f)</div><div class="ttdef"><b>Definition:</b> <a href="armnn_test_utils_2_common_test_utils_8hpp_source.xhtml#l00058">CommonTestUtils.hpp:58</a></div></div> +<div class="ttc" id="struct_selective_comparer_xhtml"><div class="ttname"><a href="struct_selective_comparer.xhtml">SelectiveComparer</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_test_utils_2_tensor_helpers_8hpp_source.xhtml#l00025">TensorHelpers.hpp:25</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a617427516e17888a138c16d3af503cfd"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a617427516e17888a138c16d3af503cfd">◆ </a></span>SelectiveCompareBoolean()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool SelectiveCompareBoolean </td> + <td>(</td> + <td class="paramtype">T </td> + <td class="paramname"><em>a</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">T </td> + <td class="paramname"><em>b</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="include_2armnn_test_utils_2_tensor_helpers_8hpp_source.xhtml#l00067">67</a> of file <a class="el" href="include_2armnn_test_utils_2_tensor_helpers_8hpp_source.xhtml">TensorHelpers.hpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="include_2armnn_test_utils_2_tensor_helpers_8hpp_source.xhtml#l00073">CompareTensors()</a>.</p> +<div class="fragment"><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> {</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keywordflow">return</span> (((a == 0) && (b == 0)) || ((a != 0) && (b != 0)));</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> };</div></div><!-- fragment --> +</div> +</div> +<h2 class="groupheader">Variable Documentation</h2> +<a id="a1ed60e4e5a0ec57f6483904e11fbd781"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a1ed60e4e5a0ec57f6483904e11fbd781">◆ </a></span>g_FloatCloseToZeroTolerance</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">constexpr float g_FloatCloseToZeroTolerance = 1.0e-6f</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="include_2armnn_test_utils_2_tensor_helpers_8hpp_source.xhtml#l00022">22</a> of file <a class="el" href="include_2armnn_test_utils_2_tensor_helpers_8hpp_source.xhtml">TensorHelpers.hpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="include_2armnn_test_utils_2_tensor_helpers_8hpp_source.xhtml#l00037">SelectiveComparer< T, false >::Compare()</a>.</p> + +</div> +</div> +</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_d44c64559bbebec7f509842c48db8b23.xhtml">include</a></li><li class="navelem"><a class="el" href="dir_63bab6e14293bb0757c6313c233a04b6.xhtml">armnnTestUtils</a></li><li class="navelem"><a class="el" href="include_2armnn_test_utils_2_tensor_helpers_8hpp.xhtml">TensorHelpers.hpp</a></li> + <li class="footer">Generated on Wed Mar 9 2022 12:01:01 for ArmNN by + <a href="http://www.doxygen.org/index.html"> + <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li> + </ul> +</div> +</body> +</html> |