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103<div class="textblock"><code>#include &quot;<a class="el" href="_i_tf_parser_8hpp_source.xhtml">armnnTfParser/ITfParser.hpp</a>&quot;</code><br />
104<code>#include &quot;<a class="el" href="_parser_prototxt_fixture_8hpp_source.xhtml">ParserPrototxtFixture.hpp</a>&quot;</code><br />
105<code>#include &quot;<a class="el" href="_graph_utils_8hpp_source.xhtml">test/GraphUtils.hpp</a>&quot;</code><br />
106<code>#include &lt;<a class="el" href="_polymorphic_downcast_8hpp_source.xhtml">armnn/utility/PolymorphicDowncast.hpp</a>&gt;</code><br />
107<code>#include &lt;boost/test/unit_test.hpp&gt;</code><br />
108</div>
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114<tr class="separator:aca9c806a9c2cf6fa453c4110ecb79af9"><td class="memSeparator" colspan="2">&#160;</td></tr>
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130 <td class="memname">BOOST_FIXTURE_TEST_CASE </td>
131 <td>(</td>
132 <td class="paramtype">AssertSimpleTest&#160;</td>
133 <td class="paramname">, </td>
134 </tr>
135 <tr>
136 <td class="paramkey"></td>
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138 <td class="paramtype">AssertSimpleFixture&#160;</td>
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148
149<p class="definition">Definition at line <a class="el" href="_assert_8cpp_source.xhtml#l00095">95</a> of file <a class="el" href="_assert_8cpp_source.xhtml">Assert.cpp</a>.</p>
150
151<p class="reference">References <a class="el" href="_parser_prototxt_fixture_8hpp_source.xhtml#l00086">ParserPrototxtFixture&lt; TParser &gt;::SetupSingleInputSingleOutput()</a>.</p>
152<div class="fragment"><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160;{</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; SetupSingleInputSingleOutput({ 1, 1, 1, 4 }, <span class="stringliteral">&quot;Placeholder&quot;</span>, <span class="stringliteral">&quot;Add&quot;</span>);</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; RunTest&lt;4&gt;({ 1.0f, 2.0f, 3.0f, 4.0f }, { 2.0f, 4.0f, 6.0f, 8.0f });</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160;}</div></div><!-- fragment -->
153</div>
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155<a id="ac27dc1cabf754208dae88e0879dd6515"></a>
156<h2 class="memtitle"><span class="permalink"><a href="#ac27dc1cabf754208dae88e0879dd6515">&#9670;&nbsp;</a></span>BOOST_FIXTURE_TEST_CASE() <span class="overload">[2/4]</span></h2>
157
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162 <td class="memname">BOOST_FIXTURE_TEST_CASE </td>
163 <td>(</td>
164 <td class="paramtype">AssertSimpleGraphStructureTest&#160;</td>
165 <td class="paramname">, </td>
166 </tr>
167 <tr>
168 <td class="paramkey"></td>
169 <td></td>
170 <td class="paramtype">AssertSimpleFixture&#160;</td>
171 <td class="paramname">&#160;</td>
172 </tr>
173 <tr>
174 <td></td>
175 <td>)</td>
176 <td></td><td></td>
177 </tr>
178 </table>
179</div><div class="memdoc">
180
181<p class="definition">Definition at line <a class="el" href="_assert_8cpp_source.xhtml#l00101">101</a> of file <a class="el" href="_assert_8cpp_source.xhtml">Assert.cpp</a>.</p>
182
183<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::Addition</a>, <a class="el" href="_graph_utils_8cpp_source.xhtml#l00034">CheckNumberOfInputSlot()</a>, <a class="el" href="_graph_utils_8cpp_source.xhtml#l00039">CheckNumberOfOutputSlot()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_graph_utils_8cpp_source.xhtml#l00022">GetFirstLayerWithName()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00259">Layer::GetType()</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::Input</a>, <a class="el" href="_graph_utils_8cpp_source.xhtml#l00044">IsConnected()</a>, and <a class="el" href="_parser_prototxt_fixture_8hpp_source.xhtml#l00158">ParserPrototxtFixture&lt; TParser &gt;::SetupOptimizedNetwork()</a>.</p>
184<div class="fragment"><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">auto</span> optimized = SetupOptimizedNetwork({ { <span class="stringliteral">&quot;Placeholder&quot;</span>, { 1, 1, 1, 4 } } }, { <span class="stringliteral">&quot;Add&quot;</span> });</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; <span class="keyword">auto</span> optimizedNetwork = armnn::PolymorphicDowncast&lt;armnn::OptimizedNetwork*&gt;(optimized.get());</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; <span class="keyword">auto</span> graph = optimizedNetwork-&gt;GetGraph();</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; BOOST_TEST((graph.GetNumInputs() == 1));</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; BOOST_TEST((graph.GetNumOutputs() == 1));</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; BOOST_TEST((graph.GetNumLayers() == 3));</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; <a class="code" href="classarmnn_1_1_layer.xhtml">armnn::Layer</a>* inputLayer = <a class="code" href="_graph_utils_8cpp.xhtml#a5f17e02e0054dac0a691685a0464ed36">GetFirstLayerWithName</a>(graph, <span class="stringliteral">&quot;Placeholder&quot;</span>);</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; BOOST_TEST((inputLayer-&gt;<a class="code" href="classarmnn_1_1_layer.xhtml#aaef29472862381822654ab6cbf7cba2a">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::LayerType::Input</a>));</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#a4c04337db4d5f380219a005657a8223b">CheckNumberOfInputSlot</a>(inputLayer, 0));</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#aada2e27f100807f5786eecb03390ba58">CheckNumberOfOutputSlot</a>(inputLayer, 1));</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; <a class="code" href="classarmnn_1_1_layer.xhtml">armnn::Layer</a>* addLayer = <a class="code" href="_graph_utils_8cpp.xhtml#a5f17e02e0054dac0a691685a0464ed36">GetFirstLayerWithName</a>(graph, <span class="stringliteral">&quot;Add&quot;</span>);</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; BOOST_TEST((addLayer-&gt;<a class="code" href="classarmnn_1_1_layer.xhtml#aaef29472862381822654ab6cbf7cba2a">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::LayerType::Addition</a>));</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#a4c04337db4d5f380219a005657a8223b">CheckNumberOfInputSlot</a>(addLayer, 2));</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#aada2e27f100807f5786eecb03390ba58">CheckNumberOfOutputSlot</a>(addLayer, 1));</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; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> tensorInfo(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1, 1, 1, 4}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#afd518dba3d52728670459e4ad3bed5e1">IsConnected</a>(inputLayer, addLayer, 0, 0, tensorInfo));</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#afd518dba3d52728670459e4ad3bed5e1">IsConnected</a>(inputLayer, addLayer, 0, 1, tensorInfo));</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">for</span> (<span class="keyword">auto</span>&amp;&amp; outputLayer : graph.GetOutputLayers())</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; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#afd518dba3d52728670459e4ad3bed5e1">IsConnected</a>(addLayer, const_cast&lt;armnn::OutputLayer*&gt;(outputLayer), 0, 0, tensorInfo));</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;}</div><div class="ttc" id="_graph_utils_8cpp_xhtml_a5f17e02e0054dac0a691685a0464ed36"><div class="ttname"><a href="_graph_utils_8cpp.xhtml#a5f17e02e0054dac0a691685a0464ed36">GetFirstLayerWithName</a></div><div class="ttdeci">armnn::Layer * GetFirstLayerWithName(armnn::Graph &amp;graph, const std::string &amp;name)</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.xhtml#l00022">GraphUtils.cpp:22</a></div></div>
185<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div>
186<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div>
187<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::LayerType::Addition</a></div></div>
188<div class="ttc" id="_graph_utils_8cpp_xhtml_afd518dba3d52728670459e4ad3bed5e1"><div class="ttname"><a href="_graph_utils_8cpp.xhtml#afd518dba3d52728670459e4ad3bed5e1">IsConnected</a></div><div class="ttdeci">bool IsConnected(armnn::Layer *srcLayer, armnn::Layer *destLayer, unsigned int srcSlot, unsigned int destSlot, const armnn::TensorInfo &amp;expectedTensorInfo)</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.xhtml#l00044">GraphUtils.cpp:44</a></div></div>
189<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::LayerType::Input</a></div></div>
190<div class="ttc" id="classarmnn_1_1_layer_xhtml_aaef29472862381822654ab6cbf7cba2a"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#aaef29472862381822654ab6cbf7cba2a">armnn::Layer::GetType</a></div><div class="ttdeci">LayerType GetType() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00259">Layer.hpp:259</a></div></div>
191<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
192<div class="ttc" id="_graph_utils_8cpp_xhtml_a4c04337db4d5f380219a005657a8223b"><div class="ttname"><a href="_graph_utils_8cpp.xhtml#a4c04337db4d5f380219a005657a8223b">CheckNumberOfInputSlot</a></div><div class="ttdeci">bool CheckNumberOfInputSlot(armnn::Layer *layer, unsigned int num)</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.xhtml#l00034">GraphUtils.cpp:34</a></div></div>
193<div class="ttc" id="_graph_utils_8cpp_xhtml_aada2e27f100807f5786eecb03390ba58"><div class="ttname"><a href="_graph_utils_8cpp.xhtml#aada2e27f100807f5786eecb03390ba58">CheckNumberOfOutputSlot</a></div><div class="ttdeci">bool CheckNumberOfOutputSlot(armnn::Layer *layer, unsigned int num)</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.xhtml#l00039">GraphUtils.cpp:39</a></div></div>
194<div class="ttc" id="classarmnn_1_1_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml">armnn::Layer</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00209">Layer.hpp:209</a></div></div>
195</div><!-- fragment -->
196</div>
197</div>
198<a id="a79cb077a071f8d5232e2e902d562becd"></a>
199<h2 class="memtitle"><span class="permalink"><a href="#a79cb077a071f8d5232e2e902d562becd">&#9670;&nbsp;</a></span>BOOST_FIXTURE_TEST_CASE() <span class="overload">[3/4]</span></h2>
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205 <td class="memname">BOOST_FIXTURE_TEST_CASE </td>
206 <td>(</td>
207 <td class="paramtype">AssertTest&#160;</td>
208 <td class="paramname">, </td>
209 </tr>
210 <tr>
211 <td class="paramkey"></td>
212 <td></td>
213 <td class="paramtype">AssertFixture&#160;</td>
214 <td class="paramname">&#160;</td>
215 </tr>
216 <tr>
217 <td></td>
218 <td>)</td>
219 <td></td><td></td>
220 </tr>
221 </table>
222</div><div class="memdoc">
223
224<p class="definition">Definition at line <a class="el" href="_assert_8cpp_source.xhtml#l00239">239</a> of file <a class="el" href="_assert_8cpp_source.xhtml">Assert.cpp</a>.</p>
225<div class="fragment"><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; Setup({ { <span class="stringliteral">&quot;Input0&quot;</span>, { 1, 1, 2, 2 } },</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160; { <span class="stringliteral">&quot;Input1&quot;</span>, { 1, 1, 2, 2 } } },</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160; { <span class="stringliteral">&quot;Output&quot;</span> });</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160;</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160; RunTest&lt;4&gt;({ { <span class="stringliteral">&quot;Input0&quot;</span>, { 4.0f, 3.0f,</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>&#160; 2.0f, 1.0f } },</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160;</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160; { <span class="stringliteral">&quot;Input1&quot;</span>, { 1.0f, 2.0f,</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160; 3.0f, 4.0f } } },</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160;</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160; { { <span class="stringliteral">&quot;Output&quot;</span>, { 7.0f, 4.0f,</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>&#160; 1.0f, -2.0f } } });</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160;}</div></div><!-- fragment -->
226</div>
227</div>
228<a id="a1645128a338ac44257fe852d11ea968b"></a>
229<h2 class="memtitle"><span class="permalink"><a href="#a1645128a338ac44257fe852d11ea968b">&#9670;&nbsp;</a></span>BOOST_FIXTURE_TEST_CASE() <span class="overload">[4/4]</span></h2>
230
231<div class="memitem">
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233 <table class="memname">
234 <tr>
235 <td class="memname">BOOST_FIXTURE_TEST_CASE </td>
236 <td>(</td>
237 <td class="paramtype">AssertGraphStructureTest&#160;</td>
238 <td class="paramname">, </td>
239 </tr>
240 <tr>
241 <td class="paramkey"></td>
242 <td></td>
243 <td class="paramtype">AssertFixture&#160;</td>
244 <td class="paramname">&#160;</td>
245 </tr>
246 <tr>
247 <td></td>
248 <td>)</td>
249 <td></td><td></td>
250 </tr>
251 </table>
252</div><div class="memdoc">
253
254<p class="definition">Definition at line <a class="el" href="_assert_8cpp_source.xhtml#l00255">255</a> of file <a class="el" href="_assert_8cpp_source.xhtml">Assert.cpp</a>.</p>
255
256<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::Addition</a>, <a class="el" href="_profiler_tests_8cpp.xhtml#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END()</a>, <a class="el" href="_graph_utils_8cpp_source.xhtml#l00034">CheckNumberOfInputSlot()</a>, <a class="el" href="_graph_utils_8cpp_source.xhtml#l00039">CheckNumberOfOutputSlot()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_graph_utils_8cpp_source.xhtml#l00022">GetFirstLayerWithName()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00259">Layer::GetType()</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::Input</a>, <a class="el" href="_graph_utils_8cpp_source.xhtml#l00044">IsConnected()</a>, and <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">armnn::Subtraction</a>.</p>
257<div class="fragment"><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>&#160;{</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>&#160; <span class="keyword">auto</span> optimized = SetupOptimizedNetwork({ { <span class="stringliteral">&quot;Input0&quot;</span>, { 1, 1, 2, 2 } },</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>&#160; { <span class="stringliteral">&quot;Input1&quot;</span>, { 1, 1, 2, 2 } } },</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>&#160; { <span class="stringliteral">&quot;Output&quot;</span> });</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>&#160;</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>&#160; <span class="keyword">auto</span> optimizedNetwork = armnn::PolymorphicDowncast&lt;armnn::OptimizedNetwork*&gt;(optimized.get());</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>&#160; <span class="keyword">auto</span> graph = optimizedNetwork-&gt;GetGraph();</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>&#160;</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>&#160; BOOST_TEST((graph.GetNumInputs() == 2));</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>&#160; BOOST_TEST((graph.GetNumOutputs() == 1));</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>&#160; BOOST_TEST((graph.GetNumLayers() == 5));</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>&#160;</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>&#160; <a class="code" href="classarmnn_1_1_layer.xhtml">armnn::Layer</a>* inputLayer0 = <a class="code" href="_graph_utils_8cpp.xhtml#a5f17e02e0054dac0a691685a0464ed36">GetFirstLayerWithName</a>(graph, <span class="stringliteral">&quot;Input0&quot;</span>);</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>&#160; BOOST_TEST((inputLayer0-&gt;<a class="code" href="classarmnn_1_1_layer.xhtml#aaef29472862381822654ab6cbf7cba2a">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::LayerType::Input</a>));</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>&#160; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#a4c04337db4d5f380219a005657a8223b">CheckNumberOfInputSlot</a>(inputLayer0, 0));</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>&#160; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#aada2e27f100807f5786eecb03390ba58">CheckNumberOfOutputSlot</a>(inputLayer0, 1));</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>&#160;</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>&#160; <a class="code" href="classarmnn_1_1_layer.xhtml">armnn::Layer</a>* inputLayer1 = <a class="code" href="_graph_utils_8cpp.xhtml#a5f17e02e0054dac0a691685a0464ed36">GetFirstLayerWithName</a>(graph, <span class="stringliteral">&quot;Input1&quot;</span>);</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>&#160; BOOST_TEST((inputLayer1-&gt;<a class="code" href="classarmnn_1_1_layer.xhtml#aaef29472862381822654ab6cbf7cba2a">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::LayerType::Input</a>));</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>&#160; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#a4c04337db4d5f380219a005657a8223b">CheckNumberOfInputSlot</a>(inputLayer1, 0));</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>&#160; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#aada2e27f100807f5786eecb03390ba58">CheckNumberOfOutputSlot</a>(inputLayer1, 1));</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>&#160;</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>&#160; <a class="code" href="classarmnn_1_1_layer.xhtml">armnn::Layer</a>* subLayer = <a class="code" href="_graph_utils_8cpp.xhtml#a5f17e02e0054dac0a691685a0464ed36">GetFirstLayerWithName</a>(graph, <span class="stringliteral">&quot;Sub&quot;</span>);</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>&#160; BOOST_TEST((subLayer-&gt;<a class="code" href="classarmnn_1_1_layer.xhtml#aaef29472862381822654ab6cbf7cba2a">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">armnn::LayerType::Subtraction</a>));</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>&#160; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#a4c04337db4d5f380219a005657a8223b">CheckNumberOfInputSlot</a>(subLayer, 2));</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>&#160; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#aada2e27f100807f5786eecb03390ba58">CheckNumberOfOutputSlot</a>(subLayer, 1));</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>&#160;</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>&#160; <a class="code" href="classarmnn_1_1_layer.xhtml">armnn::Layer</a>* addLayer = <a class="code" href="_graph_utils_8cpp.xhtml#a5f17e02e0054dac0a691685a0464ed36">GetFirstLayerWithName</a>(graph, <span class="stringliteral">&quot;Output&quot;</span>);</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>&#160; BOOST_TEST((addLayer-&gt;<a class="code" href="classarmnn_1_1_layer.xhtml#aaef29472862381822654ab6cbf7cba2a">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::LayerType::Addition</a>));</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>&#160; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#a4c04337db4d5f380219a005657a8223b">CheckNumberOfInputSlot</a>(addLayer, 2));</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>&#160; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#aada2e27f100807f5786eecb03390ba58">CheckNumberOfOutputSlot</a>(addLayer, 1));</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; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> tensorInfo(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({1, 1, 2, 2}), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>&#160; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#afd518dba3d52728670459e4ad3bed5e1">IsConnected</a>(inputLayer0, subLayer, 0, 0, tensorInfo));</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>&#160; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#afd518dba3d52728670459e4ad3bed5e1">IsConnected</a>(inputLayer1, subLayer, 0, 1, tensorInfo));</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>&#160; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#afd518dba3d52728670459e4ad3bed5e1">IsConnected</a>(inputLayer0, addLayer, 0, 0, tensorInfo));</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>&#160; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#afd518dba3d52728670459e4ad3bed5e1">IsConnected</a>(subLayer, addLayer, 0, 1, tensorInfo));</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>&#160;</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp;&amp; outputLayer : graph.GetOutputLayers())</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>&#160; {</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>&#160; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#afd518dba3d52728670459e4ad3bed5e1">IsConnected</a>(addLayer, const_cast&lt;armnn::OutputLayer*&gt;(outputLayer), 0, 0, tensorInfo));</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>&#160; }</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>&#160;}</div><div class="ttc" id="_graph_utils_8cpp_xhtml_a5f17e02e0054dac0a691685a0464ed36"><div class="ttname"><a href="_graph_utils_8cpp.xhtml#a5f17e02e0054dac0a691685a0464ed36">GetFirstLayerWithName</a></div><div class="ttdeci">armnn::Layer * GetFirstLayerWithName(armnn::Graph &amp;graph, const std::string &amp;name)</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.xhtml#l00022">GraphUtils.cpp:22</a></div></div>
258<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div>
259<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div>
260<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">armnn::LayerType::Subtraction</a></div></div>
261<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::LayerType::Addition</a></div></div>
262<div class="ttc" id="_graph_utils_8cpp_xhtml_afd518dba3d52728670459e4ad3bed5e1"><div class="ttname"><a href="_graph_utils_8cpp.xhtml#afd518dba3d52728670459e4ad3bed5e1">IsConnected</a></div><div class="ttdeci">bool IsConnected(armnn::Layer *srcLayer, armnn::Layer *destLayer, unsigned int srcSlot, unsigned int destSlot, const armnn::TensorInfo &amp;expectedTensorInfo)</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.xhtml#l00044">GraphUtils.cpp:44</a></div></div>
263<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::LayerType::Input</a></div></div>
264<div class="ttc" id="classarmnn_1_1_layer_xhtml_aaef29472862381822654ab6cbf7cba2a"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#aaef29472862381822654ab6cbf7cba2a">armnn::Layer::GetType</a></div><div class="ttdeci">LayerType GetType() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00259">Layer.hpp:259</a></div></div>
265<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
266<div class="ttc" id="_graph_utils_8cpp_xhtml_a4c04337db4d5f380219a005657a8223b"><div class="ttname"><a href="_graph_utils_8cpp.xhtml#a4c04337db4d5f380219a005657a8223b">CheckNumberOfInputSlot</a></div><div class="ttdeci">bool CheckNumberOfInputSlot(armnn::Layer *layer, unsigned int num)</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.xhtml#l00034">GraphUtils.cpp:34</a></div></div>
267<div class="ttc" id="_graph_utils_8cpp_xhtml_aada2e27f100807f5786eecb03390ba58"><div class="ttname"><a href="_graph_utils_8cpp.xhtml#aada2e27f100807f5786eecb03390ba58">CheckNumberOfOutputSlot</a></div><div class="ttdeci">bool CheckNumberOfOutputSlot(armnn::Layer *layer, unsigned int num)</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.xhtml#l00039">GraphUtils.cpp:39</a></div></div>
268<div class="ttc" id="classarmnn_1_1_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml">armnn::Layer</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00209">Layer.hpp:209</a></div></div>
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