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<div class="textblock"><code>#include &quot;<a class="el" href="_tf_lite_parser_8hpp_source.xhtml">../TfLiteParser.hpp</a>&quot;</code><br />
<code>#include &lt;boost/test/unit_test.hpp&gt;</code><br />
<code>#include &quot;<a class="el" href="_graph_utils_8hpp_source.xhtml">test/GraphUtils.hpp</a>&quot;</code><br />
<code>#include &quot;<a class="el" href="_parser_flatbuffers_fixture_8hpp_source.xhtml">ParserFlatbuffersFixture.hpp</a>&quot;</code><br />
<code>#include &quot;<a class="el" href="_parser_prototxt_fixture_8hpp_source.xhtml">ParserPrototxtFixture.hpp</a>&quot;</code><br />
<code>#include &quot;<a class="el" href="_parser_helper_8hpp_source.xhtml">ParserHelper.hpp</a>&quot;</code><br />
<code>#include &lt;<a class="el" href="_quantize_helper_8hpp_source.xhtml">QuantizeHelper.hpp</a>&gt;</code><br />
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<h2 class="memtitle"><span class="permalink"><a href="#a04100371674f0cea5e0cc32a9a5ad7b1">&#9670;&nbsp;</a></span>BOOST_FIXTURE_TEST_CASE() <span class="overload">[1/2]</span></h2>
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<p class="definition">Definition at line <a class="el" href="armnn_tf_lite_parser_2test_2_detection_post_process_8cpp_source.xhtml#l00164">164</a> of file <a class="el" href="armnn_tf_lite_parser_2test_2_detection_post_process_8cpp_source.xhtml">DetectionPostProcess.cpp</a>.</p>
<p class="reference">References <a class="el" href="_neon_end_to_end_tests_8cpp.xhtml#ada422a73ac4e68bcb1b1b1f0b44028d9">boxEncodings()</a>, and <a class="el" href="_neon_end_to_end_tests_8cpp.xhtml#a0348e6bb67ace72535bd105219bb6237">scores()</a>.</p>
<div class="fragment"><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160;{</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; Setup();</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; <span class="comment">// Inputs</span></div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; <span class="keyword">using</span> UnquantizedContainer = std::vector&lt;float&gt;;</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; UnquantizedContainer <a class="code" href="_neon_end_to_end_tests_8cpp.xhtml#ada422a73ac4e68bcb1b1b1f0b44028d9">boxEncodings</a> =</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; 0.0f, 0.0f, 0.0f, 0.0f,</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; 0.0f, 1.0f, 0.0f, 0.0f,</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; 0.0f, -1.0f, 0.0f, 0.0f,</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160; 0.0f, 0.0f, 0.0f, 0.0f,</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; 0.0f, 1.0f, 0.0f, 0.0f,</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; 0.0f, 0.0f, 0.0f, 0.0f</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; };</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160;</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; UnquantizedContainer <a class="code" href="_neon_end_to_end_tests_8cpp.xhtml#a0348e6bb67ace72535bd105219bb6237">scores</a> =</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160; {</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; 0.0f, 0.9f, 0.8f,</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; 0.0f, 0.75f, 0.72f,</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; 0.0f, 0.6f, 0.5f,</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; 0.0f, 0.93f, 0.95f,</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; 0.0f, 0.5f, 0.4f,</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160; 0.0f, 0.3f, 0.2f</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160; };</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160;</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160; <span class="comment">// Outputs</span></div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160; UnquantizedContainer detectionBoxes =</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; {</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; 0.0f, 10.0f, 1.0f, 11.0f,</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; 0.0f, 10.0f, 1.0f, 11.0f,</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160; 0.0f, 0.0f, 0.0f, 0.0f</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;</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; UnquantizedContainer detectionClasses = { 1.0f, 0.0f, 0.0f };</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; UnquantizedContainer detectionScores = { 0.95f, 0.93f, 0.0f };</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160;</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; UnquantizedContainer numDetections = { 2.0f };</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="comment">// Quantize inputs and outputs</span></div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160; <span class="keyword">using</span> QuantizedContainer = std::vector&lt;uint8_t&gt;;</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; QuantizedContainer quantBoxEncodings = armnnUtils::QuantizedVector&lt;uint8_t&gt;(<a class="code" href="_neon_end_to_end_tests_8cpp.xhtml#ada422a73ac4e68bcb1b1b1f0b44028d9">boxEncodings</a>, 1.00f, 1);</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; QuantizedContainer quantScores = armnnUtils::QuantizedVector&lt;uint8_t&gt;(<a class="code" href="_neon_end_to_end_tests_8cpp.xhtml#a0348e6bb67ace72535bd105219bb6237">scores</a>, 0.01f, 0);</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160;</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160; std::map&lt;std::string, QuantizedContainer&gt; input =</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160; {</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160; { <span class="stringliteral">&quot;box_encodings&quot;</span>, quantBoxEncodings },</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160; { <span class="stringliteral">&quot;scores&quot;</span>, quantScores }</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;</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; std::map&lt;std::string, UnquantizedContainer&gt; output =</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; { <span class="stringliteral">&quot;detection_boxes&quot;</span>, detectionBoxes},</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160; { <span class="stringliteral">&quot;detection_classes&quot;</span>, detectionClasses},</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160; { <span class="stringliteral">&quot;detection_scores&quot;</span>, detectionScores},</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160; { <span class="stringliteral">&quot;num_detections&quot;</span>, numDetections}</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160; };</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160;</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160; RunTest&lt;armnn::DataType::QAsymmU8, armnn::DataType::Float32&gt;(0, input, output);</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160;}</div><div class="ttc" id="_neon_end_to_end_tests_8cpp_xhtml_ada422a73ac4e68bcb1b1b1f0b44028d9"><div class="ttname"><a href="_neon_end_to_end_tests_8cpp.xhtml#ada422a73ac4e68bcb1b1b1f0b44028d9">boxEncodings</a></div><div class="ttdeci">std::vector&lt; float &gt; boxEncodings({ 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 1.0f, 0.0f, 0.0f, 0.0f, -1.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 1.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f })</div></div>
<div class="ttc" id="_neon_end_to_end_tests_8cpp_xhtml_a0348e6bb67ace72535bd105219bb6237"><div class="ttname"><a href="_neon_end_to_end_tests_8cpp.xhtml#a0348e6bb67ace72535bd105219bb6237">scores</a></div><div class="ttdeci">std::vector&lt; float &gt; scores({ 0.0f, 0.9f, 0.8f, 0.0f, 0.75f, 0.72f, 0.0f, 0.6f, 0.5f, 0.0f, 0.93f, 0.95f, 0.0f, 0.5f, 0.4f, 0.0f, 0.3f, 0.2f })</div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#a1b421e50a520d2a52d6cdef8b84ef26f">&#9670;&nbsp;</a></span>BOOST_FIXTURE_TEST_CASE() <span class="overload">[2/2]</span></h2>
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<td class="memname">BOOST_FIXTURE_TEST_CASE </td>
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<td class="paramtype">DetectionPostProcessGraphStructureTest&#160;</td>
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<td class="paramtype">ParseDetectionPostProcessCustomOptions&#160;</td>
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<p class="definition">Definition at line <a class="el" href="armnn_tf_lite_parser_2test_2_detection_post_process_8cpp_source.xhtml#l00226">226</a> of file <a class="el" href="armnn_tf_lite_parser_2test_2_detection_post_process_8cpp_source.xhtml">DetectionPostProcess.cpp</a>.</p>
<p class="reference">References <a class="el" href="_profiler_tests_8cpp.xhtml#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END()</a>, <a class="el" href="_graph_utils_8cpp_source.xhtml#l00032">CheckNumberOfInputSlot()</a>, <a class="el" href="_graph_utils_8cpp_source.xhtml#l00037">CheckNumberOfOutputSlot()</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64">armnn::CpuRef</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a">armnn::DetectionPostProcess</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_graph_utils_8cpp_source.xhtml#l00020">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#l00042">IsConnected()</a>, <a class="el" href="_network_8cpp_source.xhtml#l00890">armnn::Optimize()</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::Output</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>.</p>
<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; <span class="comment">/*</span></div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160;<span class="comment"> Inputs: box_encodings scores</span></div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160;<span class="comment"> \ /</span></div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160;<span class="comment"> DetectionPostProcess</span></div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160;<span class="comment"> / / \ \</span></div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160;<span class="comment"> / / \ \</span></div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160;<span class="comment"> Outputs: detection detection detection num_detections</span></div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160;<span class="comment"> boxes classes scores</span></div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160;</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160; ReadStringToBinary();</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; <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> network = m_Parser-&gt;CreateNetworkFromBinary(m_GraphBinary);</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160;</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160; <span class="keyword">auto</span> optimized = <a class="code" href="namespacearmnn.xhtml#a82e98ef05fd67036d1195ba17174d685">Optimize</a>(*network, { <a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64">armnn::Compute::CpuRef</a> }, m_Runtime-&gt;GetDeviceSpec());</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160;</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160; <span class="keyword">auto</span> optimizedNetwork = boost::polymorphic_downcast&lt;armnn::OptimizedNetwork*&gt;(optimized.get());</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160; <span class="keyword">auto</span> graph = optimizedNetwork-&gt;GetGraph();</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>&#160;</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160; <span class="comment">// Check the number of layers in the graph</span></div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160; BOOST_TEST((graph.GetNumInputs() == 2));</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160; BOOST_TEST((graph.GetNumOutputs() == 4));</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160; BOOST_TEST((graph.GetNumLayers() == 7));</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160;</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>&#160; <span class="comment">// Input layers</span></div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160; <a class="code" href="classarmnn_1_1_layer.xhtml">armnn::Layer</a>* boxEncodingLayer = <a class="code" href="_graph_utils_8cpp.xhtml#a5f17e02e0054dac0a691685a0464ed36">GetFirstLayerWithName</a>(graph, <span class="stringliteral">&quot;box_encodings&quot;</span>);</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>&#160; BOOST_TEST((boxEncodingLayer-&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="l00255"></a><span class="lineno"> 255</span>&#160; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#a4c04337db4d5f380219a005657a8223b">CheckNumberOfInputSlot</a>(boxEncodingLayer, 0));</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>&#160; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#aada2e27f100807f5786eecb03390ba58">CheckNumberOfOutputSlot</a>(boxEncodingLayer, 1));</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>&#160;</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>&#160; <a class="code" href="classarmnn_1_1_layer.xhtml">armnn::Layer</a>* scoresLayer = <a class="code" href="_graph_utils_8cpp.xhtml#a5f17e02e0054dac0a691685a0464ed36">GetFirstLayerWithName</a>(graph, <span class="stringliteral">&quot;scores&quot;</span>);</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>&#160; BOOST_TEST((scoresLayer-&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="l00260"></a><span class="lineno"> 260</span>&#160; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#a4c04337db4d5f380219a005657a8223b">CheckNumberOfInputSlot</a>(scoresLayer, 0));</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>&#160; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#aada2e27f100807f5786eecb03390ba58">CheckNumberOfOutputSlot</a>(scoresLayer, 1));</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>&#160;</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>&#160; <span class="comment">// DetectionPostProcess layer</span></div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>&#160; <a class="code" href="classarmnn_1_1_layer.xhtml">armnn::Layer</a>* detectionPostProcessLayer = <a class="code" href="_graph_utils_8cpp.xhtml#a5f17e02e0054dac0a691685a0464ed36">GetFirstLayerWithName</a>(graph, <span class="stringliteral">&quot;DetectionPostProcess:0:0&quot;</span>);</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>&#160; BOOST_TEST((detectionPostProcessLayer-&gt;<a class="code" href="classarmnn_1_1_layer.xhtml#aaef29472862381822654ab6cbf7cba2a">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a">armnn::LayerType::DetectionPostProcess</a>));</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>&#160; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#a4c04337db4d5f380219a005657a8223b">CheckNumberOfInputSlot</a>(detectionPostProcessLayer, 2));</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>&#160; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#aada2e27f100807f5786eecb03390ba58">CheckNumberOfOutputSlot</a>(detectionPostProcessLayer, 4));</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>&#160;</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>&#160; <span class="comment">// Output layers</span></div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>&#160; <a class="code" href="classarmnn_1_1_layer.xhtml">armnn::Layer</a>* detectionBoxesLayer = <a class="code" href="_graph_utils_8cpp.xhtml#a5f17e02e0054dac0a691685a0464ed36">GetFirstLayerWithName</a>(graph, <span class="stringliteral">&quot;detection_boxes&quot;</span>);</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>&#160; BOOST_TEST((detectionBoxesLayer-&gt;<a class="code" href="classarmnn_1_1_layer.xhtml#aaef29472862381822654ab6cbf7cba2a">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::LayerType::Output</a>));</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>&#160; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#a4c04337db4d5f380219a005657a8223b">CheckNumberOfInputSlot</a>(detectionBoxesLayer, 1));</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>&#160; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#aada2e27f100807f5786eecb03390ba58">CheckNumberOfOutputSlot</a>(detectionBoxesLayer, 0));</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>&#160;</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>&#160; <a class="code" href="classarmnn_1_1_layer.xhtml">armnn::Layer</a>* detectionClassesLayer = <a class="code" href="_graph_utils_8cpp.xhtml#a5f17e02e0054dac0a691685a0464ed36">GetFirstLayerWithName</a>(graph, <span class="stringliteral">&quot;detection_classes&quot;</span>);</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>&#160; BOOST_TEST((detectionClassesLayer-&gt;<a class="code" href="classarmnn_1_1_layer.xhtml#aaef29472862381822654ab6cbf7cba2a">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::LayerType::Output</a>));</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>&#160; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#a4c04337db4d5f380219a005657a8223b">CheckNumberOfInputSlot</a>(detectionClassesLayer, 1));</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>&#160; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#aada2e27f100807f5786eecb03390ba58">CheckNumberOfOutputSlot</a>(detectionClassesLayer, 0));</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>&#160;</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>&#160; <a class="code" href="classarmnn_1_1_layer.xhtml">armnn::Layer</a>* detectionScoresLayer = <a class="code" href="_graph_utils_8cpp.xhtml#a5f17e02e0054dac0a691685a0464ed36">GetFirstLayerWithName</a>(graph, <span class="stringliteral">&quot;detection_scores&quot;</span>);</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>&#160; BOOST_TEST((detectionScoresLayer-&gt;<a class="code" href="classarmnn_1_1_layer.xhtml#aaef29472862381822654ab6cbf7cba2a">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::LayerType::Output</a>));</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>&#160; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#a4c04337db4d5f380219a005657a8223b">CheckNumberOfInputSlot</a>(detectionScoresLayer, 1));</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>&#160; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#aada2e27f100807f5786eecb03390ba58">CheckNumberOfOutputSlot</a>(detectionScoresLayer, 0));</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>&#160;</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>&#160; <a class="code" href="classarmnn_1_1_layer.xhtml">armnn::Layer</a>* numDetectionsLayer = <a class="code" href="_graph_utils_8cpp.xhtml#a5f17e02e0054dac0a691685a0464ed36">GetFirstLayerWithName</a>(graph, <span class="stringliteral">&quot;num_detections&quot;</span>);</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>&#160; BOOST_TEST((numDetectionsLayer-&gt;<a class="code" href="classarmnn_1_1_layer.xhtml#aaef29472862381822654ab6cbf7cba2a">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::LayerType::Output</a>));</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>&#160; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#a4c04337db4d5f380219a005657a8223b">CheckNumberOfInputSlot</a>(numDetectionsLayer, 1));</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>&#160; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#aada2e27f100807f5786eecb03390ba58">CheckNumberOfOutputSlot</a>(numDetectionsLayer, 0));</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>&#160;</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>&#160; <span class="comment">// Check the connections</span></div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> boxEncodingTensor(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({ 1, 6, 4 }), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>, 1, 1);</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> scoresTensor(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({ 1, 6, 3 }), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>,</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>&#160; 0.00999999978f, 0);</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>&#160;</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> detectionBoxesTensor(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({ 1, 3, 4 }), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>, 0, 0);</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> detectionClassesTensor(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({ 1, 3 }), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>, 0, 0);</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> detectionScoresTensor(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({ 1, 3 }), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>, 0, 0);</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> numDetectionsTensor(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>({ 1} ), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>, 0, 0);</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>&#160;</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>&#160; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#afd518dba3d52728670459e4ad3bed5e1">IsConnected</a>(boxEncodingLayer, detectionPostProcessLayer, 0, 0, boxEncodingTensor));</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>&#160; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#afd518dba3d52728670459e4ad3bed5e1">IsConnected</a>(scoresLayer, detectionPostProcessLayer, 0, 1, scoresTensor));</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>&#160; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#afd518dba3d52728670459e4ad3bed5e1">IsConnected</a>(detectionPostProcessLayer, detectionBoxesLayer, 0, 0, detectionBoxesTensor));</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>&#160; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#afd518dba3d52728670459e4ad3bed5e1">IsConnected</a>(detectionPostProcessLayer, detectionClassesLayer, 1, 0, detectionClassesTensor));</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>&#160; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#afd518dba3d52728670459e4ad3bed5e1">IsConnected</a>(detectionPostProcessLayer, detectionScoresLayer, 2, 0, detectionScoresTensor));</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>&#160; BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#afd518dba3d52728670459e4ad3bed5e1">IsConnected</a>(detectionPostProcessLayer, numDetectionsLayer, 3, 0, numDetectionsTensor));</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>&#160;}</div><div class="ttc" id="namespacearmnn_xhtml_ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64"><div class="ttname"><a href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64">armnn::Compute::CpuRef</a></div><div class="ttdoc">CPU Execution: Reference C++ kernels. </div></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#l00020">GraphUtils.cpp:20</a></div></div>
<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>
<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::LayerType::Output</a></div></div>
<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>
<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a">armnn::LayerType::DetectionPostProcess</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a82e98ef05fd67036d1195ba17174d685"><div class="ttname"><a href="namespacearmnn.xhtml#a82e98ef05fd67036d1195ba17174d685">armnn::Optimize</a></div><div class="ttdeci">IOptimizedNetworkPtr Optimize(const INetwork &amp;network, const std::vector&lt; BackendId &gt; &amp;backendPreferences, const IDeviceSpec &amp;deviceSpec, const OptimizerOptions &amp;options=OptimizerOptions(), Optional&lt; std::vector&lt; std::string &gt; &amp;&gt; messages=EmptyOptional())</div><div class="ttdoc">Create an optimized version of the network. </div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00890">Network.cpp:890</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div>
<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#l00042">GraphUtils.cpp:42</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::LayerType::Input</a></div></div>
<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>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
<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#l00032">GraphUtils.cpp:32</a></div></div>
<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#l00037">GraphUtils.cpp:37</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ace74f6f9feb95a964a49d79458232703"><div class="ttname"><a href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a></div><div class="ttdeci">std::unique_ptr&lt; INetwork, void(*)(INetwork *network)&gt; INetworkPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00101">INetwork.hpp:101</a></div></div>
<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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