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86<div class="title">DepthwiseConvolution2D.cpp File Reference</div> </div>
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89<div class="textblock"><code>#include &lt;boost/test/unit_test.hpp&gt;</code><br />
90<code>#include &quot;<a class="el" href="_parser_flatbuffers_fixture_8hpp_source.html">ParserFlatbuffersFixture.hpp</a>&quot;</code><br />
91<code>#include &quot;<a class="el" href="_tf_lite_parser_8hpp_source.html">../TfLiteParser.hpp</a>&quot;</code><br />
92<code>#include &lt;string&gt;</code><br />
93<code>#include &lt;iostream&gt;</code><br />
94</div>
95<p><a href="armnn_tf_lite_parser_2test_2_depthwise_convolution2_d_8cpp_source.html">Go to the source code of this file.</a></p>
96<table class="memberdecls">
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98Functions</h2></td></tr>
99<tr class="memitem:af53fa33ced6d7398ff45034555f163aa"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="armnn_tf_lite_parser_2test_2_depthwise_convolution2_d_8cpp.html#af53fa33ced6d7398ff45034555f163aa">BOOST_FIXTURE_TEST_CASE</a> (ParseDepthwiseConv2DSame, DepthwiseConvolution2dSameFixture)</td></tr>
100<tr class="separator:af53fa33ced6d7398ff45034555f163aa"><td class="memSeparator" colspan="2">&#160;</td></tr>
101<tr class="memitem:a6e7cc099f8ebc8db20852ca41f9600e0"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="armnn_tf_lite_parser_2test_2_depthwise_convolution2_d_8cpp.html#a6e7cc099f8ebc8db20852ca41f9600e0">BOOST_FIXTURE_TEST_CASE</a> (ParseDepthwiseConv2DValid, DepthwiseConvolution2dValidFixture)</td></tr>
102<tr class="separator:a6e7cc099f8ebc8db20852ca41f9600e0"><td class="memSeparator" colspan="2">&#160;</td></tr>
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104<tr class="separator:afc6740eb06761e5194dda25370e5b85e"><td class="memSeparator" colspan="2">&#160;</td></tr>
105</table>
106<h2 class="groupheader">Function Documentation</h2>
107<a id="af53fa33ced6d7398ff45034555f163aa"></a>
108<h2 class="memtitle"><span class="permalink"><a href="#af53fa33ced6d7398ff45034555f163aa">&#9670;&nbsp;</a></span>BOOST_FIXTURE_TEST_CASE() <span class="overload">[1/3]</span></h2>
109
110<div class="memitem">
111<div class="memproto">
112 <table class="memname">
113 <tr>
114 <td class="memname">BOOST_FIXTURE_TEST_CASE </td>
115 <td>(</td>
116 <td class="paramtype">ParseDepthwiseConv2DSame&#160;</td>
117 <td class="paramname">, </td>
118 </tr>
119 <tr>
120 <td class="paramkey"></td>
121 <td></td>
122 <td class="paramtype">DepthwiseConvolution2dSameFixture&#160;</td>
123 <td class="paramname">&#160;</td>
124 </tr>
125 <tr>
126 <td></td>
127 <td>)</td>
128 <td></td><td></td>
129 </tr>
130 </table>
131</div><div class="memdoc">
132
133<p class="definition">Definition at line <a class="el" href="armnn_tf_lite_parser_2test_2_depthwise_convolution2_d_8cpp_source.html#l00134">134</a> of file <a class="el" href="armnn_tf_lite_parser_2test_2_depthwise_convolution2_d_8cpp_source.html">DepthwiseConvolution2D.cpp</a>.</p>
134<div class="fragment"><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; RunTest&lt;4, armnn::DataType::QAsymmU8&gt;(</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; 0,</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; { 0, 1, 2,</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; 3, 4, 5,</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; 6, 7, 8 },</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; <span class="comment">// the expected values were generated using the example python implementation at</span></div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; <span class="comment">// https://eli.thegreenplace.net/2018/depthwise-separable-convolutions-for-machine-learning/</span></div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; <span class="comment">// divide the expected values by the output scale, as it is not 1.0</span></div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; { 14/2, 35/2, 38/2,</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; 57/2, 120/2, 111/2,</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; 110/2, 197/2, 158/2 });</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160;}</div></div><!-- fragment -->
135</div>
136</div>
137<a id="a6e7cc099f8ebc8db20852ca41f9600e0"></a>
138<h2 class="memtitle"><span class="permalink"><a href="#a6e7cc099f8ebc8db20852ca41f9600e0">&#9670;&nbsp;</a></span>BOOST_FIXTURE_TEST_CASE() <span class="overload">[2/3]</span></h2>
139
140<div class="memitem">
141<div class="memproto">
142 <table class="memname">
143 <tr>
144 <td class="memname">BOOST_FIXTURE_TEST_CASE </td>
145 <td>(</td>
146 <td class="paramtype">ParseDepthwiseConv2DValid&#160;</td>
147 <td class="paramname">, </td>
148 </tr>
149 <tr>
150 <td class="paramkey"></td>
151 <td></td>
152 <td class="paramtype">DepthwiseConvolution2dValidFixture&#160;</td>
153 <td class="paramname">&#160;</td>
154 </tr>
155 <tr>
156 <td></td>
157 <td>)</td>
158 <td></td><td></td>
159 </tr>
160 </table>
161</div><div class="memdoc">
162
163<p class="definition">Definition at line <a class="el" href="armnn_tf_lite_parser_2test_2_depthwise_convolution2_d_8cpp_source.html#l00161">161</a> of file <a class="el" href="armnn_tf_lite_parser_2test_2_depthwise_convolution2_d_8cpp_source.html">DepthwiseConvolution2D.cpp</a>.</p>
164<div class="fragment"><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160;{</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; RunTest&lt;4, armnn::DataType::QAsymmU8&gt;(</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; 0,</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; { 0, 1, 2,</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; 3, 4, 5,</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; 6, 7, 8 },</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; <span class="comment">// divide the expected values by the output scale, as it is not 1.0</span></div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; { 120/2 });</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160;}</div></div><!-- fragment -->
165</div>
166</div>
167<a id="afc6740eb06761e5194dda25370e5b85e"></a>
168<h2 class="memtitle"><span class="permalink"><a href="#afc6740eb06761e5194dda25370e5b85e">&#9670;&nbsp;</a></span>BOOST_FIXTURE_TEST_CASE() <span class="overload">[3/3]</span></h2>
169
170<div class="memitem">
171<div class="memproto">
172 <table class="memname">
173 <tr>
174 <td class="memname">BOOST_FIXTURE_TEST_CASE </td>
175 <td>(</td>
176 <td class="paramtype">ParseDepthwiseConv2DSameBias&#160;</td>
177 <td class="paramname">, </td>
178 </tr>
179 <tr>
180 <td class="paramkey"></td>
181 <td></td>
182 <td class="paramtype">DepthwiseConvolution2dSameBiasFixture&#160;</td>
183 <td class="paramname">&#160;</td>
184 </tr>
185 <tr>
186 <td></td>
187 <td>)</td>
188 <td></td><td></td>
189 </tr>
190 </table>
191</div><div class="memdoc">
192
193<p class="definition">Definition at line <a class="el" href="armnn_tf_lite_parser_2test_2_depthwise_convolution2_d_8cpp_source.html#l00186">186</a> of file <a class="el" href="armnn_tf_lite_parser_2test_2_depthwise_convolution2_d_8cpp_source.html">DepthwiseConvolution2D.cpp</a>.</p>
194
195<p class="reference">References <a class="el" href="_profiler_tests_8cpp.html#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END()</a>.</p>
196<div class="fragment"><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; RunTest&lt;4, armnn::DataType::QAsymmU8&gt;(</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160; 0,</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160; { 0, 1, 2,</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160; 3, 4, 5,</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; 6, 7, 8 },</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; <span class="comment">// divide the expected values by the output scale, as it is not 1.0</span></div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; { ( 14+10)/2, ( 35+10)/2, ( 38+10)/2,</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160; ( 57+10)/2, (120+10)/2, (111+10)/2,</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160; (110+10)/2, (197+10)/2, (158+10)/2 });</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160;}</div></div><!-- fragment -->
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