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102<div class="title">TensorHelpers.hpp File Reference</div> </div>
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105<div class="textblock"><code>#include &lt;<a class="el" href="_tensor_8hpp_source.xhtml">armnn/Tensor.hpp</a>&gt;</code><br />
106<code>#include &lt;<a class="el" href="_quantize_helper_8hpp_source.xhtml">QuantizeHelper.hpp</a>&gt;</code><br />
107<code>#include &lt;boost/assert.hpp&gt;</code><br />
108<code>#include &lt;boost/multi_array.hpp&gt;</code><br />
109<code>#include &lt;boost/numeric/conversion/cast.hpp&gt;</code><br />
110<code>#include &lt;boost/random/uniform_real_distribution.hpp&gt;</code><br />
111<code>#include &lt;boost/random/mersenne_twister.hpp&gt;</code><br />
112<code>#include &lt;boost/test/tools/floating_point_comparison.hpp&gt;</code><br />
113<code>#include &lt;boost/test/unit_test.hpp&gt;</code><br />
114<code>#include &lt;array&gt;</code><br />
115<code>#include &lt;cmath&gt;</code><br />
116<code>#include &lt;vector&gt;</code><br />
117</div>
118<p><a href="_tensor_helpers_8hpp_source.xhtml">Go to the source code of this file.</a></p>
119<table class="memberdecls">
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121Classes</h2></td></tr>
122<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="struct_selective_comparer.xhtml">SelectiveComparer&lt; T, isQuantized &gt;</a></td></tr>
123<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
124<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="struct_selective_comparer_3_01_t_00_01false_01_4.xhtml">SelectiveComparer&lt; T, false &gt;</a></td></tr>
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128Functions</h2></td></tr>
129<tr class="memitem:a833e7db5d5f7e93102e80de57a602cf7"><td class="memTemplParams" colspan="2">template&lt;typename T &gt; </td></tr>
130<tr class="memitem:a833e7db5d5f7e93102e80de57a602cf7"><td class="memTemplItemLeft" align="right" valign="top">bool&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_tensor_helpers_8hpp.xhtml#a833e7db5d5f7e93102e80de57a602cf7">SelectiveCompare</a> (T a, T b)</td></tr>
131<tr class="separator:a833e7db5d5f7e93102e80de57a602cf7"><td class="memSeparator" colspan="2">&#160;</td></tr>
132<tr class="memitem:a617427516e17888a138c16d3af503cfd"><td class="memTemplParams" colspan="2">template&lt;typename T &gt; </td></tr>
133<tr class="memitem:a617427516e17888a138c16d3af503cfd"><td class="memTemplItemLeft" align="right" valign="top">bool&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_tensor_helpers_8hpp.xhtml#a617427516e17888a138c16d3af503cfd">SelectiveCompareBoolean</a> (T a, T b)</td></tr>
134<tr class="separator:a617427516e17888a138c16d3af503cfd"><td class="memSeparator" colspan="2">&#160;</td></tr>
135<tr class="memitem:a0b8fbb443d2cf34a41f6aaae934e3dcb"><td class="memTemplParams" colspan="2">template&lt;typename T , std::size_t n&gt; </td></tr>
136<tr class="memitem:a0b8fbb443d2cf34a41f6aaae934e3dcb"><td class="memTemplItemLeft" align="right" valign="top">boost::test_tools::predicate_result&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_tensor_helpers_8hpp.xhtml#a0b8fbb443d2cf34a41f6aaae934e3dcb">CompareTensors</a> (const boost::multi_array&lt; T, n &gt; &amp;a, const boost::multi_array&lt; T, n &gt; &amp;b, bool compareBoolean=<a class="el" href="_ref_layer_tests_8cpp.xhtml#af3b727ae5a13ff472892ab8bda2eb1b5">false</a>)</td></tr>
137<tr class="separator:a0b8fbb443d2cf34a41f6aaae934e3dcb"><td class="memSeparator" colspan="2">&#160;</td></tr>
138<tr class="memitem:a9c063a8b0e52737d20184cd36dcf483e"><td class="memTemplParams" colspan="2">template&lt;typename T , std::size_t n&gt; </td></tr>
139<tr class="memitem:a9c063a8b0e52737d20184cd36dcf483e"><td class="memTemplItemLeft" align="right" valign="top">boost::multi_array&lt; T, n &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_tensor_helpers_8hpp.xhtml#a9c063a8b0e52737d20184cd36dcf483e">MakeTensor</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> &amp;tensorInfo)</td></tr>
140<tr class="separator:a9c063a8b0e52737d20184cd36dcf483e"><td class="memSeparator" colspan="2">&#160;</td></tr>
141<tr class="memitem:aca9db6ac279d665c182b8bc1be743d4b"><td class="memTemplParams" colspan="2">template&lt;typename T , std::size_t n&gt; </td></tr>
142<tr class="memitem:aca9db6ac279d665c182b8bc1be743d4b"><td class="memTemplItemLeft" align="right" valign="top">boost::multi_array&lt; T, n &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_tensor_helpers_8hpp.xhtml#aca9db6ac279d665c182b8bc1be743d4b">MakeTensor</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> &amp;tensorInfo, const std::vector&lt; T &gt; &amp;flat)</td></tr>
143<tr class="separator:aca9db6ac279d665c182b8bc1be743d4b"><td class="memSeparator" colspan="2">&#160;</td></tr>
144<tr class="memitem:a1268c19758dd636d0da80d16d2a4f2f4"><td class="memTemplParams" colspan="2">template&lt;typename T , std::size_t n&gt; </td></tr>
145<tr class="memitem:a1268c19758dd636d0da80d16d2a4f2f4"><td class="memTemplItemLeft" align="right" valign="top">boost::multi_array&lt; T, n &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_tensor_helpers_8hpp.xhtml#a1268c19758dd636d0da80d16d2a4f2f4">MakeRandomTensor</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> &amp;tensorInfo, unsigned int seed, float min=-10.0f, float max=10.0f)</td></tr>
146<tr class="separator:a1268c19758dd636d0da80d16d2a4f2f4"><td class="memSeparator" colspan="2">&#160;</td></tr>
147</table><table class="memberdecls">
148<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="var-members"></a>
149Variables</h2></td></tr>
150<tr class="memitem:a1ed60e4e5a0ec57f6483904e11fbd781"><td class="memItemLeft" align="right" valign="top">constexpr float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_tensor_helpers_8hpp.xhtml#a1ed60e4e5a0ec57f6483904e11fbd781">g_FloatCloseToZeroTolerance</a> = 1.0e-6f</td></tr>
151<tr class="separator:a1ed60e4e5a0ec57f6483904e11fbd781"><td class="memSeparator" colspan="2">&#160;</td></tr>
152</table>
153<h2 class="groupheader">Function Documentation</h2>
154<a id="a0b8fbb443d2cf34a41f6aaae934e3dcb"></a>
155<h2 class="memtitle"><span class="permalink"><a href="#a0b8fbb443d2cf34a41f6aaae934e3dcb">&#9670;&nbsp;</a></span>CompareTensors()</h2>
156
157<div class="memitem">
158<div class="memproto">
159 <table class="memname">
160 <tr>
161 <td class="memname">boost::test_tools::predicate_result CompareTensors </td>
162 <td>(</td>
163 <td class="paramtype">const boost::multi_array&lt; T, n &gt; &amp;&#160;</td>
164 <td class="paramname"><em>a</em>, </td>
165 </tr>
166 <tr>
167 <td class="paramkey"></td>
168 <td></td>
169 <td class="paramtype">const boost::multi_array&lt; T, n &gt; &amp;&#160;</td>
170 <td class="paramname"><em>b</em>, </td>
171 </tr>
172 <tr>
173 <td class="paramkey"></td>
174 <td></td>
175 <td class="paramtype">bool&#160;</td>
176 <td class="paramname"><em>compareBoolean</em> = <code><a class="el" href="_ref_layer_tests_8cpp.xhtml#af3b727ae5a13ff472892ab8bda2eb1b5">false</a></code>&#160;</td>
177 </tr>
178 <tr>
179 <td></td>
180 <td>)</td>
181 <td></td><td></td>
182 </tr>
183 </table>
184</div><div class="memdoc">
185
186<p class="definition">Definition at line <a class="el" href="_tensor_helpers_8hpp_source.xhtml#l00075">75</a> of file <a class="el" href="_tensor_helpers_8hpp_source.xhtml">TensorHelpers.hpp</a>.</p>
187
188<p class="reference">References <a class="el" href="_tensor_helpers_8hpp_source.xhtml#l00063">SelectiveCompare()</a>, and <a class="el" href="_tensor_helpers_8hpp_source.xhtml#l00069">SelectiveCompareBoolean()</a>.</p>
189
190<p class="reference">Referenced by <a class="el" href="_mem_copy_tests_8cpp_source.xhtml#l00047">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_unit_tests_8hpp_source.xhtml#l00036">CompareTestResultIfSupported()</a>, <a class="el" href="_detection_post_process_test_impl_8hpp_source.xhtml#l00139">DetectionPostProcessImpl()</a>, <a class="el" href="_parser_prototxt_fixture_8hpp_source.xhtml#l00187">ParserPrototxtFixture&lt; armnnOnnxParser::IOnnxParser &gt;::RunTest()</a>, <a class="el" href="_parser_flatbuffers_serialize_fixture_8hpp_source.xhtml#l00202">ParserFlatbuffersSerializeFixture::RunTest()</a>, and <a class="el" href="_parser_flatbuffers_fixture_8hpp_source.xhtml#l00250">ParserFlatbuffersFixture::RunTest()</a>.</p>
191<div class="fragment"><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160;{</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; <span class="comment">// Checks they are same shape.</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i=0; i&lt;n; i++)</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; {</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; <span class="keywordflow">if</span> (a.shape()[i] != b.shape()[i])</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; {</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; boost::test_tools::predicate_result res(<span class="keyword">false</span>);</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; res.message() &lt;&lt; <span class="stringliteral">&quot;Different shapes [&quot;</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; &lt;&lt; a.shape()[i]</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; &lt;&lt; <span class="stringliteral">&quot;!=&quot;</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; &lt;&lt; b.shape()[i]</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; &lt;&lt; <span class="stringliteral">&quot;]&quot;</span>;</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; <span class="keywordflow">return</span> res;</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; }</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; }</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160;</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; <span class="comment">// Now compares element-wise.</span></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="comment">// Fun iteration over n dimensions.</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; std::array&lt;unsigned int, n&gt; indices;</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; n; i++)</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; {</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; indices[i] = 0;</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; std::stringstream errorString;</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; <span class="keywordtype">int</span> numFailedElements = 0;</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; constexpr <span class="keywordtype">int</span> maxReportedDifferences = 3;</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; <span class="keywordflow">while</span> (<span class="keyword">true</span>)</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; {</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; <span class="keywordtype">bool</span> comparison;</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; <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="l00111"></a><span class="lineno"> 111</span>&#160; <span class="keywordflow">if</span>(compareBoolean)</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; comparison = <a class="code" href="_tensor_helpers_8hpp.xhtml#a617427516e17888a138c16d3af503cfd">SelectiveCompareBoolean</a>(a(indices), b(indices));</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="keywordflow">else</span></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; comparison = <a class="code" href="_tensor_helpers_8hpp.xhtml#a833e7db5d5f7e93102e80de57a602cf7">SelectiveCompare</a>(a(indices), b(indices));</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; }</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160;</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; <span class="keywordflow">if</span> (!comparison)</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; ++numFailedElements;</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; <span class="keywordflow">if</span> (numFailedElements &lt;= maxReportedDifferences)</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; <span class="keywordflow">if</span> (numFailedElements &gt;= 2)</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; {</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; errorString &lt;&lt; <span class="stringliteral">&quot;, &quot;</span>;</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; }</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; errorString &lt;&lt; <span class="stringliteral">&quot;[&quot;</span>;</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; n; ++i)</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; {</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; errorString &lt;&lt; indices[i];</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; <span class="keywordflow">if</span> (i != n - 1)</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; errorString &lt;&lt; <span class="stringliteral">&quot;,&quot;</span>;</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; }</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; }</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; errorString &lt;&lt; <span class="stringliteral">&quot;]&quot;</span>;</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160;</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; errorString &lt;&lt; <span class="stringliteral">&quot; (&quot;</span> &lt;&lt; +a(indices) &lt;&lt; <span class="stringliteral">&quot; != &quot;</span> &lt;&lt; +b(indices) &lt;&lt; <span class="stringliteral">&quot;)&quot;</span>;</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; }</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; }</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160;</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; ++indices[n - 1];</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i=n-1; i&gt;0; i--)</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; {</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; <span class="keywordflow">if</span> (indices[i] == a.shape()[i])</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; {</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; indices[i] = 0;</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; ++indices[i - 1];</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; }</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;</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; <span class="keywordflow">if</span> (indices[0] == a.shape()[0])</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="keywordflow">break</span>;</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; }</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; }</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; boost::test_tools::predicate_result comparisonResult(<span class="keyword">true</span>);</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; <span class="keywordflow">if</span> (numFailedElements &gt; 0)</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; {</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; comparisonResult = <span class="keyword">false</span>;</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; comparisonResult.message() &lt;&lt; numFailedElements &lt;&lt; <span class="stringliteral">&quot; different values at: &quot;</span>;</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; <span class="keywordflow">if</span> (numFailedElements &gt; maxReportedDifferences)</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; {</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; errorString &lt;&lt; <span class="stringliteral">&quot;, ... (and &quot;</span> &lt;&lt; (numFailedElements - maxReportedDifferences) &lt;&lt; <span class="stringliteral">&quot; other differences)&quot;</span>;</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; }</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; comparisonResult.message() &lt;&lt; errorString.str();</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; }</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160;</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; <span class="keywordflow">return</span> comparisonResult;</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160;}</div><div class="ttc" id="_tensor_helpers_8hpp_xhtml_a617427516e17888a138c16d3af503cfd"><div class="ttname"><a href="_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="_tensor_helpers_8hpp_source.xhtml#l00069">TensorHelpers.hpp:69</a></div></div>
192<div class="ttc" id="_tensor_helpers_8hpp_xhtml_a833e7db5d5f7e93102e80de57a602cf7"><div class="ttname"><a href="_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="_tensor_helpers_8hpp_source.xhtml#l00063">TensorHelpers.hpp:63</a></div></div>
193</div><!-- fragment -->
194</div>
195</div>
196<a id="a1268c19758dd636d0da80d16d2a4f2f4"></a>
197<h2 class="memtitle"><span class="permalink"><a href="#a1268c19758dd636d0da80d16d2a4f2f4">&#9670;&nbsp;</a></span>MakeRandomTensor()</h2>
198
199<div class="memitem">
200<div class="memproto">
201 <table class="memname">
202 <tr>
203 <td class="memname">boost::multi_array&lt;T, n&gt; MakeRandomTensor </td>
204 <td>(</td>
205 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> &amp;&#160;</td>
206 <td class="paramname"><em>tensorInfo</em>, </td>
207 </tr>
208 <tr>
209 <td class="paramkey"></td>
210 <td></td>
211 <td class="paramtype">unsigned int&#160;</td>
212 <td class="paramname"><em>seed</em>, </td>
213 </tr>
214 <tr>
215 <td class="paramkey"></td>
216 <td></td>
217 <td class="paramtype">float&#160;</td>
218 <td class="paramname"><em>min</em> = <code>-10.0f</code>, </td>
219 </tr>
220 <tr>
221 <td class="paramkey"></td>
222 <td></td>
223 <td class="paramtype">float&#160;</td>
224 <td class="paramname"><em>max</em> = <code>10.0f</code>&#160;</td>
225 </tr>
226 <tr>
227 <td></td>
228 <td>)</td>
229 <td></td><td></td>
230 </tr>
231 </table>
232</div><div class="memdoc">
233
234<p class="definition">Definition at line <a class="el" href="_tensor_helpers_8hpp_source.xhtml#l00223">223</a> of file <a class="el" href="_tensor_helpers_8hpp_source.xhtml">TensorHelpers.hpp</a>.</p>
235
236<p class="reference">References <a class="el" href="_tensor_8hpp_source.xhtml#l00093">TensorInfo::GetNumElements()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00264">TensorInfo::GetQuantizationOffset()</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00247">TensorInfo::GetQuantizationScale()</a>.</p>
237<div class="fragment"><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160;{</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160; boost::random::mt19937 gen(seed);</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160; boost::random::uniform_real_distribution&lt;float&gt; dist(min, max);</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160;</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; std::vector&lt;float&gt; init(tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>());</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; init.size(); i++)</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160; {</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160; init[i] = dist(gen);</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;</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160; <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="l00238"></a><span class="lineno"> 238</span>&#160; <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="l00239"></a><span class="lineno"> 239</span>&#160;</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160; <span class="keywordflow">return</span> MakeTensor&lt;T, n&gt;(tensorInfo, armnnUtils::QuantizedVector&lt;T&gt;(init, qScale, qOffset));</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160;}</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#l00264">Tensor.cpp:264</a></div></div>
238<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#l00247">Tensor.cpp:247</a></div></div>
239<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#l00093">Tensor.hpp:93</a></div></div>
240</div><!-- fragment -->
241</div>
242</div>
243<a id="a9c063a8b0e52737d20184cd36dcf483e"></a>
244<h2 class="memtitle"><span class="permalink"><a href="#a9c063a8b0e52737d20184cd36dcf483e">&#9670;&nbsp;</a></span>MakeTensor() <span class="overload">[1/2]</span></h2>
245
246<div class="memitem">
247<div class="memproto">
248 <table class="memname">
249 <tr>
250 <td class="memname">boost::multi_array&lt;T, n&gt; MakeTensor </td>
251 <td>(</td>
252 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> &amp;&#160;</td>
253 <td class="paramname"><em>tensorInfo</em></td><td>)</td>
254 <td></td>
255 </tr>
256 </table>
257</div><div class="memdoc">
258
259<p class="definition">Definition at line <a class="el" href="_tensor_helpers_8hpp_source.xhtml#l00179">179</a> of file <a class="el" href="_tensor_helpers_8hpp_source.xhtml">TensorHelpers.hpp</a>.</p>
260
261<p class="reference">References <a class="el" href="_tensor_8hpp_source.xhtml#l00088">TensorInfo::GetShape()</a>.</p>
262<div class="fragment"><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160;{</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160; std::array&lt;unsigned int, n&gt; shape;</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; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; n; i++)</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; {</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; shape[i] = tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[i];</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; }</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160;</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160; <span class="keywordflow">return</span> boost::multi_array&lt;T, n&gt;(shape);</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape &amp; GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00088">Tensor.hpp:88</a></div></div>
263</div><!-- fragment -->
264</div>
265</div>
266<a id="aca9db6ac279d665c182b8bc1be743d4b"></a>
267<h2 class="memtitle"><span class="permalink"><a href="#aca9db6ac279d665c182b8bc1be743d4b">&#9670;&nbsp;</a></span>MakeTensor() <span class="overload">[2/2]</span></h2>
268
269<div class="memitem">
270<div class="memproto">
271 <table class="memname">
272 <tr>
273 <td class="memname">boost::multi_array&lt;T, n&gt; MakeTensor </td>
274 <td>(</td>
275 <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> &amp;&#160;</td>
276 <td class="paramname"><em>tensorInfo</em>, </td>
277 </tr>
278 <tr>
279 <td class="paramkey"></td>
280 <td></td>
281 <td class="paramtype">const std::vector&lt; T &gt; &amp;&#160;</td>
282 <td class="paramname"><em>flat</em>&#160;</td>
283 </tr>
284 <tr>
285 <td></td>
286 <td>)</td>
287 <td></td><td></td>
288 </tr>
289 </table>
290</div><div class="memdoc">
291
292<p class="definition">Definition at line <a class="el" href="_tensor_helpers_8hpp_source.xhtml#l00193">193</a> of file <a class="el" href="_tensor_helpers_8hpp_source.xhtml">TensorHelpers.hpp</a>.</p>
293
294<p class="reference">References <a class="el" href="_tensor_8hpp_source.xhtml#l00092">TensorInfo::GetNumDimensions()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00093">TensorInfo::GetNumElements()</a>, and <a class="el" href="_tensor_8hpp_source.xhtml#l00088">TensorInfo::GetShape()</a>.</p>
295<div class="fragment"><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160;{</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160; BOOST_ASSERT_MSG(flat.size() == tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>(), <span class="stringliteral">&quot;Wrong number of components supplied to tensor&quot;</span>);</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160;</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160; std::array&lt;unsigned int, n&gt; shape;</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160;</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; <span class="comment">// NOTE: tensorInfo.GetNumDimensions() might be different from n</span></div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> returnDimensions = <span class="keyword">static_cast&lt;</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">&gt;</span>(n);</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> actualDimensions = tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160;</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> paddedDimensions =</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160; returnDimensions &gt; actualDimensions ? returnDimensions - actualDimensions : 0u;</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160;</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0u; i &lt; returnDimensions; i++)</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; {</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160; <span class="keywordflow">if</span> (i &lt; paddedDimensions)</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160; {</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160; shape[i] = 1u;</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160; }</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160; <span class="keywordflow">else</span></div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160; {</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160; shape[i] = tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[i - paddedDimensions];</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; }</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; }</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160;</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160; boost::const_multi_array_ref&lt;T, n&gt; arrayRef(&amp;flat[0], shape);</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160; <span class="keywordflow">return</span> boost::multi_array&lt;T, n&gt;(arrayRef);</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape &amp; GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00088">Tensor.hpp:88</a></div></div>
296<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00092">Tensor.hpp:92</a></div></div>
297<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#l00093">Tensor.hpp:93</a></div></div>
298</div><!-- fragment -->
299</div>
300</div>
301<a id="a833e7db5d5f7e93102e80de57a602cf7"></a>
302<h2 class="memtitle"><span class="permalink"><a href="#a833e7db5d5f7e93102e80de57a602cf7">&#9670;&nbsp;</a></span>SelectiveCompare()</h2>
303
304<div class="memitem">
305<div class="memproto">
306 <table class="memname">
307 <tr>
308 <td class="memname">bool SelectiveCompare </td>
309 <td>(</td>
310 <td class="paramtype">T&#160;</td>
311 <td class="paramname"><em>a</em>, </td>
312 </tr>
313 <tr>
314 <td class="paramkey"></td>
315 <td></td>
316 <td class="paramtype">T&#160;</td>
317 <td class="paramname"><em>b</em>&#160;</td>
318 </tr>
319 <tr>
320 <td></td>
321 <td>)</td>
322 <td></td><td></td>
323 </tr>
324 </table>
325</div><div class="memdoc">
326
327<p class="definition">Definition at line <a class="el" href="_tensor_helpers_8hpp_source.xhtml#l00063">63</a> of file <a class="el" href="_tensor_helpers_8hpp_source.xhtml">TensorHelpers.hpp</a>.</p>
328
329<p class="reference">References <a class="el" href="_tensor_helpers_8hpp_source.xhtml#l00028">SelectiveComparer&lt; T, isQuantized &gt;::Compare()</a>.</p>
330
331<p class="reference">Referenced by <a class="el" href="_tensor_helpers_8hpp_source.xhtml#l00075">CompareTensors()</a>.</p>
332<div class="fragment"><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160;{</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; <span class="keywordflow">return</span> <a class="code" href="struct_selective_comparer.xhtml">SelectiveComparer&lt;T, armnn::IsQuantizedType&lt;T&gt;</a>()&gt;::Compare(a, b);</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160;};</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="_tensor_helpers_8hpp_source.xhtml#l00026">TensorHelpers.hpp:26</a></div></div>
333</div><!-- fragment -->
334</div>
335</div>
336<a id="a617427516e17888a138c16d3af503cfd"></a>
337<h2 class="memtitle"><span class="permalink"><a href="#a617427516e17888a138c16d3af503cfd">&#9670;&nbsp;</a></span>SelectiveCompareBoolean()</h2>
338
339<div class="memitem">
340<div class="memproto">
341 <table class="memname">
342 <tr>
343 <td class="memname">bool SelectiveCompareBoolean </td>
344 <td>(</td>
345 <td class="paramtype">T&#160;</td>
346 <td class="paramname"><em>a</em>, </td>
347 </tr>
348 <tr>
349 <td class="paramkey"></td>
350 <td></td>
351 <td class="paramtype">T&#160;</td>
352 <td class="paramname"><em>b</em>&#160;</td>
353 </tr>
354 <tr>
355 <td></td>
356 <td>)</td>
357 <td></td><td></td>
358 </tr>
359 </table>
360</div><div class="memdoc">
361
362<p class="definition">Definition at line <a class="el" href="_tensor_helpers_8hpp_source.xhtml#l00069">69</a> of file <a class="el" href="_tensor_helpers_8hpp_source.xhtml">TensorHelpers.hpp</a>.</p>
363
364<p class="reference">Referenced by <a class="el" href="_tensor_helpers_8hpp_source.xhtml#l00075">CompareTensors()</a>.</p>
365<div class="fragment"><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160;{</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; <span class="keywordflow">return</span> (((a == 0) &amp;&amp; (b == 0)) || ((a != 0) &amp;&amp; (b != 0)));</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160;};</div></div><!-- fragment -->
366</div>
367</div>
368<h2 class="groupheader">Variable Documentation</h2>
369<a id="a1ed60e4e5a0ec57f6483904e11fbd781"></a>
370<h2 class="memtitle"><span class="permalink"><a href="#a1ed60e4e5a0ec57f6483904e11fbd781">&#9670;&nbsp;</a></span>g_FloatCloseToZeroTolerance</h2>
371
372<div class="memitem">
373<div class="memproto">
374 <table class="memname">
375 <tr>
376 <td class="memname">constexpr float g_FloatCloseToZeroTolerance = 1.0e-6f</td>
377 </tr>
378 </table>
379</div><div class="memdoc">
380
381<p class="definition">Definition at line <a class="el" href="_tensor_helpers_8hpp_source.xhtml#l00023">23</a> of file <a class="el" href="_tensor_helpers_8hpp_source.xhtml">TensorHelpers.hpp</a>.</p>
382
383<p class="reference">Referenced by <a class="el" href="_tensor_helpers_8hpp_source.xhtml#l00038">SelectiveComparer&lt; T, false &gt;::Compare()</a>.</p>
384
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