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<div class="textblock"><code>#include "<a class="el" href="_network_execution_utils_8hpp_source.xhtml">NetworkExecutionUtils/NetworkExecutionUtils.hpp</a>"</code><br />
<code>#include "<a class="el" href="_execute_network_program_options_8hpp_source.xhtml">ExecuteNetworkProgramOptions.hpp</a>"</code><br />
<code>#include <<a class="el" href="_i_async_execution_callback_8hpp_source.xhtml">armnn/IAsyncExecutionCallback.hpp</a>></code><br />
<code>#include <<a class="el" href="_async_execution_callback_8hpp_source.xhtml">AsyncExecutionCallback.hpp</a>></code><br />
<code>#include <<a class="el" href="_logging_8hpp_source.xhtml">armnn/Logging.hpp</a>></code><br />
<code>#include <<a class="el" href="_filesystem_8hpp_source.xhtml">armnnUtils/Filesystem.hpp</a>></code><br />
<code>#include <<a class="el" href="_t_container_8hpp_source.xhtml">armnnUtils/TContainer.hpp</a>></code><br />
<code>#include <<a class="el" href="_inference_test_8hpp_source.xhtml">InferenceTest.hpp</a>></code><br />
<code>#include <future></code><br />
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<p><a href="_execute_network_8cpp_source.xhtml">Go to the source code of this file.</a></p>
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Functions</h2></td></tr>
<tr class="memitem:ab9be7e320a1879b362298cb198250dae"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="_execute_network_8cpp.xhtml#ab9be7e320a1879b362298cb198250dae">CheckInferenceTimeThreshold</a> (const std::chrono::duration< double, std::milli > &duration, const double &thresholdTime)</td></tr>
<tr class="memdesc:ab9be7e320a1879b362298cb198250dae"><td class="mdescLeft"> </td><td class="mdescRight">Given a measured duration and a threshold time tell the user whether we succeeded or not. <a href="#ab9be7e320a1879b362298cb198250dae">More...</a><br /></td></tr>
<tr class="separator:ab9be7e320a1879b362298cb198250dae"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:afc1c3398fd2de1051edf23a171cfa01b"><td class="memTemplParams" colspan="2">template<typename TParser , typename TDataType > </td></tr>
<tr class="memitem:afc1c3398fd2de1051edf23a171cfa01b"><td class="memTemplItemLeft" align="right" valign="top">int </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_execute_network_8cpp.xhtml#afc1c3398fd2de1051edf23a171cfa01b">MainImpl</a> (const <a class="el" href="struct_execute_network_params.xhtml">ExecuteNetworkParams</a> &params, const std::shared_ptr< <a class="el" href="classarmnn_1_1_i_runtime.xhtml">armnn::IRuntime</a> > &runtime=nullptr)</td></tr>
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<tr class="memitem:ac0f2228420376f4db7e1274f2b41667c"><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="_execute_network_8cpp.xhtml#ac0f2228420376f4db7e1274f2b41667c">main</a> (int argc, const char *argv[])</td></tr>
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<h2 class="groupheader">Function Documentation</h2>
<a id="ab9be7e320a1879b362298cb198250dae"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ab9be7e320a1879b362298cb198250dae">◆ </a></span>CheckInferenceTimeThreshold()</h2>
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<td class="memname">bool CheckInferenceTimeThreshold </td>
<td>(</td>
<td class="paramtype">const std::chrono::duration< double, std::milli > & </td>
<td class="paramname"><em>duration</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">const double & </td>
<td class="paramname"><em>thresholdTime</em> </td>
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<td>)</td>
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<p>Given a measured duration and a threshold time tell the user whether we succeeded or not. </p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">duration</td><td>the measured inference duration. </td></tr>
<tr><td class="paramname">thresholdTime</td><td>the threshold time in milliseconds. </td></tr>
</table>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>false if the measured time exceeded the threshold. </dd></dl>
<p class="definition">Definition at line <a class="el" href="_execute_network_8cpp_source.xhtml#l00047">47</a> of file <a class="el" href="_execute_network_8cpp_source.xhtml">ExecuteNetwork.cpp</a>.</p>
<p class="reference">References <a class="el" href="_logging_8hpp_source.xhtml#l00202">ARMNN_LOG</a>, <a class="el" href="struct_execute_network_params.xhtml#a721fa5f104533ca06589330accc2857da34feb52e49daeff4cae20f668187ec5c">ExecuteNetworkParams::ArmNNTfLiteDelegate</a>, <a class="el" href="_timer_8hpp_source.xhtml#l00019">armnn::GetTimeDuration()</a>, <a class="el" href="_timer_8hpp_source.xhtml#l00014">armnn::GetTimeNow()</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00057">ExecuteNetworkParams::m_DontPrintOutputs</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00038">ExecuteNetworkParams::m_GenerateTensorData</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00041">ExecuteNetworkParams::m_InputNames</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00042">ExecuteNetworkParams::m_InputTensorDataFilePaths</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00043">ExecuteNetworkParams::m_InputTensorShapes</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00044">ExecuteNetworkParams::m_InputTypes</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00046">ExecuteNetworkParams::m_Iterations</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00048">ExecuteNetworkParams::m_ModelPath</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00052">ExecuteNetworkParams::m_OutputNames</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00053">ExecuteNetworkParams::m_OutputTensorFiles</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00054">ExecuteNetworkParams::m_OutputTypes</a>, <a class="el" href="_i_runtime_8hpp_source.xhtml#l00184">IRuntime::CreationOptions::m_ProfilingOptions</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00066">ExecuteNetworkParams::m_TfLiteExecutor</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00062">ExecuteNetworkParams::m_ThresholdTime</a>, <a class="el" href="_numeric_cast_8hpp_source.xhtml#l00035">armnn::numeric_cast()</a>, <a class="el" href="_delegate_options_8hpp_source.xhtml#l00231">DelegateOptions::SetExternalProfilingParams()</a>, <a class="el" href="namespacearmnn_delegate.xhtml#aaab840e387d9a4e7de223fbc8c969eb3">armnnDelegate::TfLiteArmnnDelegateCreate()</a>, and <a class="el" href="namespacearmnn_delegate.xhtml#a29bbb05765039d65532d61301b56749e">armnnDelegate::TfLiteArmnnDelegateDelete()</a>.</p>
<p class="reference">Referenced by <a class="el" href="_execute_network_8cpp_source.xhtml#l00368">MainImpl()</a>.</p>
<div class="fragment"><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> {</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(info) << <span class="stringliteral">"\nInference time: "</span> << std::setprecision(2)</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  << std::fixed << duration.count() << <span class="stringliteral">" ms\n"</span>;</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="comment">// If thresholdTime == 0.0 (default), then it hasn't been supplied at command line</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keywordflow">if</span> (thresholdTime != 0.0)</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  {</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(info) << <span class="stringliteral">"Threshold time: "</span> << std::setprecision(2)</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  << std::fixed << thresholdTime << <span class="stringliteral">" ms"</span>;</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keyword">auto</span> thresholdMinusInference = thresholdTime - duration.count();</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(info) << <span class="stringliteral">"Threshold time - Inference time: "</span> << std::setprecision(2)</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  << std::fixed << thresholdMinusInference << <span class="stringliteral">" ms"</span> << <span class="stringliteral">"\n"</span>;</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keywordflow">if</span> (thresholdMinusInference < 0)</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  {</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  std::string errorMessage = <span class="stringliteral">"Elapsed inference time is greater than provided threshold time."</span>;</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << errorMessage;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  }</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  }</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> }</div><div class="ttc" id="_logging_8hpp_xhtml_a7b6ad073975f437ec38ca7d20154727f"><div class="ttname"><a href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a></div><div class="ttdeci">#define ARMNN_LOG(severity)</div><div class="ttdef"><b>Definition:</b> <a href="_logging_8hpp_source.xhtml#l00202">Logging.hpp:202</a></div></div>
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<a id="ac0f2228420376f4db7e1274f2b41667c"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ac0f2228420376f4db7e1274f2b41667c">◆ </a></span>main()</h2>
<div class="memitem">
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<table class="memname">
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<td class="memname">int main </td>
<td>(</td>
<td class="paramtype">int </td>
<td class="paramname"><em>argc</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">const char * </td>
<td class="paramname"><em>argv</em>[] </td>
</tr>
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<td>)</td>
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<p class="definition">Definition at line <a class="el" href="_execute_network_8cpp_source.xhtml#l00846">846</a> of file <a class="el" href="_execute_network_8cpp_source.xhtml">ExecuteNetwork.cpp</a>.</p>
<p class="reference">References <a class="el" href="_logging_8hpp_source.xhtml#l00202">ARMNN_LOG</a>, <a class="el" href="struct_execute_network_params.xhtml#a721fa5f104533ca06589330accc2857da34feb52e49daeff4cae20f668187ec5c">ExecuteNetworkParams::ArmNNTfLiteDelegate</a>, <a class="el" href="struct_execute_network_params.xhtml#a721fa5f104533ca06589330accc2857daf36e3b2e1fe4ec94cab683d237883fee">ExecuteNetworkParams::ArmNNTfLiteParser</a>, <a class="el" href="_utils_8cpp_source.xhtml#l00018">armnn::ConfigureLogging()</a>, <a class="el" href="_runtime_8cpp_source.xhtml#l00040">IRuntime::Create()</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa603905470e2a5b8c13e96b579ef0dba">armnn::Debug</a>, <a class="el" href="namespacearmnn.xhtml#a93a3ba385cad27c4774e5fe64c025d3da4059b0251f66a18cb56f544728796875">armnn::Info</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00037">ExecuteNetworkParams::m_EnableProfiling</a>, <a class="el" href="_execute_network_program_options_8hpp_source.xhtml#l00044">ProgramOptions::m_ExNetParams</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00047">ExecuteNetworkParams::m_ModelFormat</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00051">ExecuteNetworkParams::m_OutputDetailsOnlyToStdOut</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00050">ExecuteNetworkParams::m_OutputDetailsToStdOut</a>, <a class="el" href="_execute_network_program_options_8hpp_source.xhtml#l00045">ProgramOptions::m_RuntimeOptions</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00066">ExecuteNetworkParams::m_TfLiteExecutor</a>, <a class="el" href="_execute_network_program_options_8cpp_source.xhtml#l00442">ProgramOptions::ParseOptions()</a>, and <a class="el" href="struct_execute_network_params.xhtml#a721fa5f104533ca06589330accc2857da979cb18d483aeb3c0c636e340ba011df">ExecuteNetworkParams::TfliteInterpreter</a>.</p>
<div class="fragment"><div class="line"><a name="l00847"></a><span class="lineno"> 847</span> {</div><div class="line"><a name="l00848"></a><span class="lineno"> 848</span>  <span class="comment">// Configures logging for both the ARMNN library and this test program.</span></div><div class="line"><a name="l00849"></a><span class="lineno"> 849</span> <span class="preprocessor"> #ifdef NDEBUG</span></div><div class="line"><a name="l00850"></a><span class="lineno"> 850</span>  <a class="code" href="namespacearmnn.xhtml#a93a3ba385cad27c4774e5fe64c025d3d">armnn::LogSeverity</a> level = <a class="code" href="namespacearmnn.xhtml#a93a3ba385cad27c4774e5fe64c025d3da4059b0251f66a18cb56f544728796875">armnn::LogSeverity::Info</a>;</div><div class="line"><a name="l00851"></a><span class="lineno"> 851</span> <span class="preprocessor"> #else</span></div><div class="line"><a name="l00852"></a><span class="lineno"> 852</span>  <a class="code" href="namespacearmnn.xhtml#a93a3ba385cad27c4774e5fe64c025d3d">armnn::LogSeverity</a> level = <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa603905470e2a5b8c13e96b579ef0dba">armnn::LogSeverity::Debug</a>;</div><div class="line"><a name="l00853"></a><span class="lineno"> 853</span> <span class="preprocessor"> #endif</span></div><div class="line"><a name="l00854"></a><span class="lineno"> 854</span>  <a class="code" href="namespacearmnn.xhtml#aa59f7a819c3e29d10ffc41e5c0616872">armnn::ConfigureLogging</a>(<span class="keyword">true</span>, <span class="keyword">true</span>, level);</div><div class="line"><a name="l00855"></a><span class="lineno"> 855</span> </div><div class="line"><a name="l00856"></a><span class="lineno"> 856</span> </div><div class="line"><a name="l00857"></a><span class="lineno"> 857</span>  <span class="comment">// Get ExecuteNetwork parameters and runtime options from command line</span></div><div class="line"><a name="l00858"></a><span class="lineno"> 858</span>  <span class="comment">// This might throw an InvalidArgumentException if the user provided invalid inputs</span></div><div class="line"><a name="l00859"></a><span class="lineno"> 859</span>  <a class="code" href="struct_program_options.xhtml">ProgramOptions</a> <a class="code" href="struct_program_options.xhtml">ProgramOptions</a>;</div><div class="line"><a name="l00860"></a><span class="lineno"> 860</span>  <span class="keywordflow">try</span> {</div><div class="line"><a name="l00861"></a><span class="lineno"> 861</span>  ProgramOptions.<a class="code" href="struct_program_options.xhtml#a59cc301c978c454abd5ce1851a63e59e">ParseOptions</a>(argc, argv);</div><div class="line"><a name="l00862"></a><span class="lineno"> 862</span>  } <span class="keywordflow">catch</span> (<span class="keyword">const</span> std::exception &e){</div><div class="line"><a name="l00863"></a><span class="lineno"> 863</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << e.what();</div><div class="line"><a name="l00864"></a><span class="lineno"> 864</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00865"></a><span class="lineno"> 865</span>  }</div><div class="line"><a name="l00866"></a><span class="lineno"> 866</span> </div><div class="line"><a name="l00867"></a><span class="lineno"> 867</span>  <span class="keywordflow">if</span> ((ProgramOptions.<a class="code" href="struct_program_options.xhtml#a85f77fe8adc087571402b9e204ad77dd">m_ExNetParams</a>.<a class="code" href="struct_execute_network_params.xhtml#ae96fc745917a3a0c0de7a818c9a05012">m_OutputDetailsToStdOut</a> ||</div><div class="line"><a name="l00868"></a><span class="lineno"> 868</span>  ProgramOptions.<a class="code" href="struct_program_options.xhtml#a85f77fe8adc087571402b9e204ad77dd">m_ExNetParams</a>.<a class="code" href="struct_execute_network_params.xhtml#ab17deb382179697b4702cc4f909e71f8">m_OutputDetailsOnlyToStdOut</a>)</div><div class="line"><a name="l00869"></a><span class="lineno"> 869</span>  && !ProgramOptions.<a class="code" href="struct_program_options.xhtml#a85f77fe8adc087571402b9e204ad77dd">m_ExNetParams</a>.<a class="code" href="struct_execute_network_params.xhtml#a26d42007440bb01a1a6d0ab3b5a657ee">m_EnableProfiling</a>)</div><div class="line"><a name="l00870"></a><span class="lineno"> 870</span>  {</div><div class="line"><a name="l00871"></a><span class="lineno"> 871</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"You must enable profiling if you would like to output layer details"</span>;</div><div class="line"><a name="l00872"></a><span class="lineno"> 872</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00873"></a><span class="lineno"> 873</span>  }</div><div class="line"><a name="l00874"></a><span class="lineno"> 874</span> </div><div class="line"><a name="l00875"></a><span class="lineno"> 875</span>  <span class="comment">// Create runtime</span></div><div class="line"><a name="l00876"></a><span class="lineno"> 876</span>  std::shared_ptr<armnn::IRuntime> runtime(<a class="code" href="classarmnn_1_1_i_runtime.xhtml#ad44ecd3700748dc30dc4bbe34ba5bde7">armnn::IRuntime::Create</a>(ProgramOptions.<a class="code" href="struct_program_options.xhtml#a521b82f1467d6ede7a11db36f4d0823d">m_RuntimeOptions</a>));</div><div class="line"><a name="l00877"></a><span class="lineno"> 877</span> </div><div class="line"><a name="l00878"></a><span class="lineno"> 878</span>  std::string modelFormat = ProgramOptions.<a class="code" href="struct_program_options.xhtml#a85f77fe8adc087571402b9e204ad77dd">m_ExNetParams</a>.<a class="code" href="struct_execute_network_params.xhtml#a86800ee44cdb3d1bfd169ec4200212d2">m_ModelFormat</a>;</div><div class="line"><a name="l00879"></a><span class="lineno"> 879</span> </div><div class="line"><a name="l00880"></a><span class="lineno"> 880</span>  <span class="comment">// Forward to implementation based on the parser type</span></div><div class="line"><a name="l00881"></a><span class="lineno"> 881</span>  <span class="keywordflow">if</span> (modelFormat.find(<span class="stringliteral">"armnn"</span>) != std::string::npos)</div><div class="line"><a name="l00882"></a><span class="lineno"> 882</span>  {</div><div class="line"><a name="l00883"></a><span class="lineno"> 883</span> <span class="preprocessor"> #if defined(ARMNN_SERIALIZER)</span></div><div class="line"><a name="l00884"></a><span class="lineno"> 884</span>  <span class="keywordflow">return</span> MainImpl<armnnDeserializer::IDeserializer, float>(ProgramOptions.<a class="code" href="struct_program_options.xhtml#a85f77fe8adc087571402b9e204ad77dd">m_ExNetParams</a>, runtime);</div><div class="line"><a name="l00885"></a><span class="lineno"> 885</span> <span class="preprocessor"> #else</span></div><div class="line"><a name="l00886"></a><span class="lineno"> 886</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Not built with serialization support."</span>;</div><div class="line"><a name="l00887"></a><span class="lineno"> 887</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00888"></a><span class="lineno"> 888</span> <span class="preprocessor"> #endif</span></div><div class="line"><a name="l00889"></a><span class="lineno"> 889</span>  }</div><div class="line"><a name="l00890"></a><span class="lineno"> 890</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (modelFormat.find(<span class="stringliteral">"onnx"</span>) != std::string::npos)</div><div class="line"><a name="l00891"></a><span class="lineno"> 891</span>  {</div><div class="line"><a name="l00892"></a><span class="lineno"> 892</span> <span class="preprocessor"> #if defined(ARMNN_ONNX_PARSER)</span></div><div class="line"><a name="l00893"></a><span class="lineno"> 893</span>  <span class="keywordflow">return</span> MainImpl<armnnOnnxParser::IOnnxParser, float>(ProgramOptions.<a class="code" href="struct_program_options.xhtml#a85f77fe8adc087571402b9e204ad77dd">m_ExNetParams</a>, runtime);</div><div class="line"><a name="l00894"></a><span class="lineno"> 894</span> <span class="preprocessor"> #else</span></div><div class="line"><a name="l00895"></a><span class="lineno"> 895</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Not built with Onnx parser support."</span>;</div><div class="line"><a name="l00896"></a><span class="lineno"> 896</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00897"></a><span class="lineno"> 897</span> <span class="preprocessor"> #endif</span></div><div class="line"><a name="l00898"></a><span class="lineno"> 898</span>  }</div><div class="line"><a name="l00899"></a><span class="lineno"> 899</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span>(modelFormat.find(<span class="stringliteral">"tflite"</span>) != std::string::npos)</div><div class="line"><a name="l00900"></a><span class="lineno"> 900</span>  {</div><div class="line"><a name="l00901"></a><span class="lineno"> 901</span>  <span class="keywordflow">if</span> (ProgramOptions.<a class="code" href="struct_program_options.xhtml#a85f77fe8adc087571402b9e204ad77dd">m_ExNetParams</a>.<a class="code" href="struct_execute_network_params.xhtml#a876462c8d3a74b51c890820df24f42f9">m_TfLiteExecutor</a> == <a class="code" href="struct_execute_network_params.xhtml#a721fa5f104533ca06589330accc2857daf36e3b2e1fe4ec94cab683d237883fee">ExecuteNetworkParams::TfLiteExecutor::ArmNNTfLiteParser</a>)</div><div class="line"><a name="l00902"></a><span class="lineno"> 902</span>  {</div><div class="line"><a name="l00903"></a><span class="lineno"> 903</span> <span class="preprocessor"> #if defined(ARMNN_TF_LITE_PARSER)</span></div><div class="line"><a name="l00904"></a><span class="lineno"> 904</span>  <span class="keywordflow">return</span> MainImpl<armnnTfLiteParser::ITfLiteParser, float>(ProgramOptions.<a class="code" href="struct_program_options.xhtml#a85f77fe8adc087571402b9e204ad77dd">m_ExNetParams</a>, runtime);</div><div class="line"><a name="l00905"></a><span class="lineno"> 905</span> <span class="preprocessor"> #else</span></div><div class="line"><a name="l00906"></a><span class="lineno"> 906</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Not built with Tensorflow-Lite parser support."</span>;</div><div class="line"><a name="l00907"></a><span class="lineno"> 907</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00908"></a><span class="lineno"> 908</span> <span class="preprocessor"> #endif</span></div><div class="line"><a name="l00909"></a><span class="lineno"> 909</span>  }</div><div class="line"><a name="l00910"></a><span class="lineno"> 910</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (ProgramOptions.<a class="code" href="struct_program_options.xhtml#a85f77fe8adc087571402b9e204ad77dd">m_ExNetParams</a>.<a class="code" href="struct_execute_network_params.xhtml#a876462c8d3a74b51c890820df24f42f9">m_TfLiteExecutor</a> ==</div><div class="line"><a name="l00911"></a><span class="lineno"> 911</span>  <a class="code" href="struct_execute_network_params.xhtml#a721fa5f104533ca06589330accc2857da34feb52e49daeff4cae20f668187ec5c">ExecuteNetworkParams::TfLiteExecutor::ArmNNTfLiteDelegate</a> ||</div><div class="line"><a name="l00912"></a><span class="lineno"> 912</span>  ProgramOptions.<a class="code" href="struct_program_options.xhtml#a85f77fe8adc087571402b9e204ad77dd">m_ExNetParams</a>.<a class="code" href="struct_execute_network_params.xhtml#a876462c8d3a74b51c890820df24f42f9">m_TfLiteExecutor</a> ==</div><div class="line"><a name="l00913"></a><span class="lineno"> 913</span>  <a class="code" href="struct_execute_network_params.xhtml#a721fa5f104533ca06589330accc2857da979cb18d483aeb3c0c636e340ba011df">ExecuteNetworkParams::TfLiteExecutor::TfliteInterpreter</a>)</div><div class="line"><a name="l00914"></a><span class="lineno"> 914</span>  {</div><div class="line"><a name="l00915"></a><span class="lineno"> 915</span> <span class="preprocessor"> #if defined(ARMNN_TF_LITE_DELEGATE)</span></div><div class="line"><a name="l00916"></a><span class="lineno"> 916</span>  <span class="keywordflow">return</span> TfLiteDelegateMainImpl(ProgramOptions.<a class="code" href="struct_program_options.xhtml#a85f77fe8adc087571402b9e204ad77dd">m_ExNetParams</a>, ProgramOptions.<a class="code" href="struct_program_options.xhtml#a521b82f1467d6ede7a11db36f4d0823d">m_RuntimeOptions</a>);</div><div class="line"><a name="l00917"></a><span class="lineno"> 917</span> <span class="preprocessor"> #else</span></div><div class="line"><a name="l00918"></a><span class="lineno"> 918</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Not built with Arm NN Tensorflow-Lite delegate support."</span>;</div><div class="line"><a name="l00919"></a><span class="lineno"> 919</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00920"></a><span class="lineno"> 920</span> <span class="preprocessor"> #endif</span></div><div class="line"><a name="l00921"></a><span class="lineno"> 921</span>  }</div><div class="line"><a name="l00922"></a><span class="lineno"> 922</span>  }</div><div class="line"><a name="l00923"></a><span class="lineno"> 923</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00924"></a><span class="lineno"> 924</span>  {</div><div class="line"><a name="l00925"></a><span class="lineno"> 925</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Unknown model format: '"</span> << modelFormat</div><div class="line"><a name="l00926"></a><span class="lineno"> 926</span>  << <span class="stringliteral">"'. Please include 'tflite' or 'onnx'"</span>;</div><div class="line"><a name="l00927"></a><span class="lineno"> 927</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00928"></a><span class="lineno"> 928</span>  }</div><div class="line"><a name="l00929"></a><span class="lineno"> 929</span> }</div><div class="ttc" id="struct_program_options_xhtml_a85f77fe8adc087571402b9e204ad77dd"><div class="ttname"><a href="struct_program_options.xhtml#a85f77fe8adc087571402b9e204ad77dd">ProgramOptions::m_ExNetParams</a></div><div class="ttdeci">ExecuteNetworkParams m_ExNetParams</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_program_options_8hpp_source.xhtml#l00044">ExecuteNetworkProgramOptions.hpp:44</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_runtime_xhtml_ad44ecd3700748dc30dc4bbe34ba5bde7"><div class="ttname"><a href="classarmnn_1_1_i_runtime.xhtml#ad44ecd3700748dc30dc4bbe34ba5bde7">armnn::IRuntime::Create</a></div><div class="ttdeci">static IRuntimePtr Create(const CreationOptions &options)</div><div class="ttdef"><b>Definition:</b> <a href="_runtime_8cpp_source.xhtml#l00040">Runtime.cpp:40</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a721fa5f104533ca06589330accc2857da34feb52e49daeff4cae20f668187ec5c"><div class="ttname"><a href="struct_execute_network_params.xhtml#a721fa5f104533ca06589330accc2857da34feb52e49daeff4cae20f668187ec5c">ExecuteNetworkParams::TfLiteExecutor::ArmNNTfLiteDelegate</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_ab17deb382179697b4702cc4f909e71f8"><div class="ttname"><a href="struct_execute_network_params.xhtml#ab17deb382179697b4702cc4f909e71f8">ExecuteNetworkParams::m_OutputDetailsOnlyToStdOut</a></div><div class="ttdeci">bool m_OutputDetailsOnlyToStdOut</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00051">ExecuteNetworkParams.hpp:51</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_aa59f7a819c3e29d10ffc41e5c0616872"><div class="ttname"><a href="namespacearmnn.xhtml#aa59f7a819c3e29d10ffc41e5c0616872">armnn::ConfigureLogging</a></div><div class="ttdeci">void ConfigureLogging(bool printToStandardOutput, bool printToDebugOutput, LogSeverity severity)</div><div class="ttdoc">Configures the logging behaviour of the ARMNN library. </div><div class="ttdef"><b>Definition:</b> <a href="_utils_8cpp_source.xhtml#l00018">Utils.cpp:18</a></div></div>
<div class="ttc" id="struct_program_options_xhtml_a521b82f1467d6ede7a11db36f4d0823d"><div class="ttname"><a href="struct_program_options.xhtml#a521b82f1467d6ede7a11db36f4d0823d">ProgramOptions::m_RuntimeOptions</a></div><div class="ttdeci">armnn::IRuntime::CreationOptions m_RuntimeOptions</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_program_options_8hpp_source.xhtml#l00045">ExecuteNetworkProgramOptions.hpp:45</a></div></div>
<div class="ttc" id="_logging_8hpp_xhtml_a7b6ad073975f437ec38ca7d20154727f"><div class="ttname"><a href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a></div><div class="ttdeci">#define ARMNN_LOG(severity)</div><div class="ttdef"><b>Definition:</b> <a href="_logging_8hpp_source.xhtml#l00202">Logging.hpp:202</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a721fa5f104533ca06589330accc2857daf36e3b2e1fe4ec94cab683d237883fee"><div class="ttname"><a href="struct_execute_network_params.xhtml#a721fa5f104533ca06589330accc2857daf36e3b2e1fe4ec94cab683d237883fee">ExecuteNetworkParams::TfLiteExecutor::ArmNNTfLiteParser</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a876462c8d3a74b51c890820df24f42f9"><div class="ttname"><a href="struct_execute_network_params.xhtml#a876462c8d3a74b51c890820df24f42f9">ExecuteNetworkParams::m_TfLiteExecutor</a></div><div class="ttdeci">TfLiteExecutor m_TfLiteExecutor</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00066">ExecuteNetworkParams.hpp:66</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_ae96fc745917a3a0c0de7a818c9a05012"><div class="ttname"><a href="struct_execute_network_params.xhtml#ae96fc745917a3a0c0de7a818c9a05012">ExecuteNetworkParams::m_OutputDetailsToStdOut</a></div><div class="ttdeci">bool m_OutputDetailsToStdOut</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00050">ExecuteNetworkParams.hpp:50</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a93a3ba385cad27c4774e5fe64c025d3da4059b0251f66a18cb56f544728796875"><div class="ttname"><a href="namespacearmnn.xhtml#a93a3ba385cad27c4774e5fe64c025d3da4059b0251f66a18cb56f544728796875">armnn::LogSeverity::Info</a></div></div>
<div class="ttc" id="struct_program_options_xhtml_a59cc301c978c454abd5ce1851a63e59e"><div class="ttname"><a href="struct_program_options.xhtml#a59cc301c978c454abd5ce1851a63e59e">ProgramOptions::ParseOptions</a></div><div class="ttdeci">void ParseOptions(int ac, const char *av[])</div><div class="ttdoc">Parses program options from the command line or another source and stores the values in member variab...</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_program_options_8cpp_source.xhtml#l00442">ExecuteNetworkProgramOptions.cpp:442</a></div></div>
<div class="ttc" id="struct_program_options_xhtml"><div class="ttname"><a href="struct_program_options.xhtml">ProgramOptions</a></div><div class="ttdoc">Holds and parses program options for the ExecuteNetwork application. </div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_program_options_8hpp_source.xhtml#l00021">ExecuteNetworkProgramOptions.hpp:21</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a93a3ba385cad27c4774e5fe64c025d3d"><div class="ttname"><a href="namespacearmnn.xhtml#a93a3ba385cad27c4774e5fe64c025d3d">armnn::LogSeverity</a></div><div class="ttdeci">LogSeverity</div><div class="ttdef"><b>Definition:</b> <a href="_utils_8hpp_source.xhtml#l00014">Utils.hpp:14</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a86800ee44cdb3d1bfd169ec4200212d2"><div class="ttname"><a href="struct_execute_network_params.xhtml#a86800ee44cdb3d1bfd169ec4200212d2">ExecuteNetworkParams::m_ModelFormat</a></div><div class="ttdeci">std::string m_ModelFormat</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00047">ExecuteNetworkParams.hpp:47</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aa603905470e2a5b8c13e96b579ef0dba"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aa603905470e2a5b8c13e96b579ef0dba">armnn::LayerType::Debug</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a26d42007440bb01a1a6d0ab3b5a657ee"><div class="ttname"><a href="struct_execute_network_params.xhtml#a26d42007440bb01a1a6d0ab3b5a657ee">ExecuteNetworkParams::m_EnableProfiling</a></div><div class="ttdeci">bool m_EnableProfiling</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00037">ExecuteNetworkParams.hpp:37</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a721fa5f104533ca06589330accc2857da979cb18d483aeb3c0c636e340ba011df"><div class="ttname"><a href="struct_execute_network_params.xhtml#a721fa5f104533ca06589330accc2857da979cb18d483aeb3c0c636e340ba011df">ExecuteNetworkParams::TfLiteExecutor::TfliteInterpreter</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#afc1c3398fd2de1051edf23a171cfa01b">◆ </a></span>MainImpl()</h2>
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<td class="memname">int MainImpl </td>
<td>(</td>
<td class="paramtype">const <a class="el" href="struct_execute_network_params.xhtml">ExecuteNetworkParams</a> & </td>
<td class="paramname"><em>params</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">const std::shared_ptr< <a class="el" href="classarmnn_1_1_i_runtime.xhtml">armnn::IRuntime</a> > & </td>
<td class="paramname"><em>runtime</em> = <code>nullptr</code> </td>
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<td>)</td>
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<p class="definition">Definition at line <a class="el" href="_execute_network_8cpp_source.xhtml#l00368">368</a> of file <a class="el" href="_execute_network_8cpp_source.xhtml">ExecuteNetwork.cpp</a>.</p>
<p class="reference">References <a class="el" href="_logging_8hpp_source.xhtml#l00202">ARMNN_LOG</a>, <a class="el" href="_execute_network_8cpp_source.xhtml#l00047">CheckInferenceTimeThreshold()</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00772">InferenceModel< IParser, TDataType >::CreateWorkingMemHandle()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00755">InferenceModel< IParser, TDataType >::GetInputQuantizationParams()</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00576">InferenceModel< IParser, TDataType >::GetInputSize()</a>, <a class="el" href="_async_execution_callback_8cpp_source.xhtml#l00042">AsyncCallbackManager::GetNewCallback()</a>, <a class="el" href="_async_execution_callback_8cpp_source.xhtml#l00051">AsyncCallbackManager::GetNotifiedCallback()</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00737">InferenceModel< IParser, TDataType >::GetOutputBindingInfo()</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00743">InferenceModel< IParser, TDataType >::GetOutputBindingInfos()</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00582">InferenceModel< IParser, TDataType >::GetOutputSize()</a>, <a class="el" href="_timer_8hpp_source.xhtml#l00019">armnn::GetTimeDuration()</a>, <a class="el" href="_timer_8hpp_source.xhtml#l00014">armnn::GetTimeNow()</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00112">Params::m_AsyncEnabled</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00028">ExecuteNetworkParams::m_CachedNetworkFilePath</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00109">Params::m_CachedNetworkFilePath</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00029">ExecuteNetworkParams::m_ComputeDevices</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00095">Params::m_ComputeDevices</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00030">ExecuteNetworkParams::m_Concurrent</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00031">ExecuteNetworkParams::m_DequantizeOutput</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00057">ExecuteNetworkParams::m_DontPrintOutputs</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00032">ExecuteNetworkParams::m_DynamicBackendsPath</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00096">Params::m_DynamicBackendsPath</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00033">ExecuteNetworkParams::m_EnableBf16TurboMode</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00101">Params::m_EnableBf16TurboMode</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00034">ExecuteNetworkParams::m_EnableFastMath</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00105">Params::m_EnableFastMath</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00035">ExecuteNetworkParams::m_EnableFp16TurboMode</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00100">Params::m_EnableFp16TurboMode</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00036">ExecuteNetworkParams::m_EnableLayerDetails</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00037">ExecuteNetworkParams::m_EnableProfiling</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00038">ExecuteNetworkParams::m_GenerateTensorData</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00039">ExecuteNetworkParams::m_InferOutputShape</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00104">Params::m_InferOutputShape</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00092">Params::m_InputBindings</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00041">ExecuteNetworkParams::m_InputNames</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00093">Params::m_InputShapes</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00042">ExecuteNetworkParams::m_InputTensorDataFilePaths</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00043">ExecuteNetworkParams::m_InputTensorShapes</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00044">ExecuteNetworkParams::m_InputTypes</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00045">ExecuteNetworkParams::m_IsModelBinary</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00098">Params::m_IsModelBinary</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00046">ExecuteNetworkParams::m_Iterations</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00065">ExecuteNetworkParams::m_MLGOTuningFilePath</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00111">Params::m_MLGOTuningFilePath</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00048">ExecuteNetworkParams::m_ModelPath</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00091">Params::m_ModelPath</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00049">ExecuteNetworkParams::m_NumberOfThreads</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00110">Params::m_NumberOfThreads</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00094">Params::m_OutputBindings</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00051">ExecuteNetworkParams::m_OutputDetailsOnlyToStdOut</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00108">Params::m_OutputDetailsOnlyToStdOut</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00050">ExecuteNetworkParams::m_OutputDetailsToStdOut</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00107">Params::m_OutputDetailsToStdOut</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00052">ExecuteNetworkParams::m_OutputNames</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00053">ExecuteNetworkParams::m_OutputTensorFiles</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00054">ExecuteNetworkParams::m_OutputTypes</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00055">ExecuteNetworkParams::m_ParseUnsupported</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00103">Params::m_ParseUnsupported</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00056">ExecuteNetworkParams::m_PrintIntermediate</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00102">Params::m_PrintIntermediateLayers</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00058">ExecuteNetworkParams::m_QuantizeInput</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00059">ExecuteNetworkParams::m_SaveCachedNetwork</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00106">Params::m_SaveCachedNetwork</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00061">ExecuteNetworkParams::m_SubgraphId</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00097">Params::m_SubgraphId</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00067">ExecuteNetworkParams::m_ThreadPoolSize</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00113">Params::m_ThreadPoolSize</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00062">ExecuteNetworkParams::m_ThresholdTime</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00099">Params::m_VisualizePostOptimizationModel</a>, <a class="el" href="_network_execution_utils_8cpp_source.xhtml#l00231">PopulateTensorWithData()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00588">InferenceModel< IParser, TDataType >::Run()</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00636">InferenceModel< IParser, TDataType >::RunAsync()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>, and <a class="el" href="_exceptions_8cpp_source.xhtml#l00032">Exception::what()</a>.</p>
<div class="fragment"><div class="line"><a name="l00370"></a><span class="lineno"> 370</span> {</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  <span class="keyword">using namespace </span><a class="code" href="namespacestd_1_1chrono.xhtml">std::chrono</a>;</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span> </div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  std::vector<std::vector<armnnUtils::TContainer>> inputs;</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  std::vector<std::vector<armnnUtils::TContainer>> outputs;</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span> </div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  <span class="keywordflow">try</span></div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  {</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  <span class="comment">// Creates an InferenceModel, which will parse the model and load it into an IRuntime.</span></div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  <span class="keyword">typename</span> <a class="code" href="struct_inference_model_internal_1_1_params.xhtml">InferenceModel<TParser, TDataType>::Params</a> inferenceModelParams;</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a4fa312cf0d60fbd3988a7c76ab8e2980">m_ModelPath</a> = params.<a class="code" href="struct_execute_network_params.xhtml#a4fa312cf0d60fbd3988a7c76ab8e2980">m_ModelPath</a>;</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a6bf2f586c403977d31c7d32d371918cf">m_IsModelBinary</a> = params.<a class="code" href="struct_execute_network_params.xhtml#a6bf2f586c403977d31c7d32d371918cf">m_IsModelBinary</a>;</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a2d54e6252c1c9a0e29f7706ba03b2b74">m_ComputeDevices</a> = params.<a class="code" href="struct_execute_network_params.xhtml#a2d54e6252c1c9a0e29f7706ba03b2b74">m_ComputeDevices</a>;</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#ae43cf4b5df0068ee6a9151c98947248b">m_DynamicBackendsPath</a> = params.<a class="code" href="struct_execute_network_params.xhtml#ae43cf4b5df0068ee6a9151c98947248b">m_DynamicBackendsPath</a>;</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#acde2af8cbbd224a9f94e509ca538a775">m_PrintIntermediateLayers</a> = params.<a class="code" href="struct_execute_network_params.xhtml#a5acc5b4076604db15ee13ee19fa623c4">m_PrintIntermediate</a>;</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#aaae50a6c0f73e4c210c2e4331c439482">m_VisualizePostOptimizationModel</a> = params.<a class="code" href="struct_execute_network_params.xhtml#a7efc68309e76bfefbfa16fe94501b060">m_EnableLayerDetails</a>;</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a5c7f0c083da98e7b6e9ba79d2fcd985d">m_ParseUnsupported</a> = params.<a class="code" href="struct_execute_network_params.xhtml#a5c7f0c083da98e7b6e9ba79d2fcd985d">m_ParseUnsupported</a>;</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a2a245a63e87f363df491ad8c35be54c5">m_InferOutputShape</a> = params.<a class="code" href="struct_execute_network_params.xhtml#a2a245a63e87f363df491ad8c35be54c5">m_InferOutputShape</a>;</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a66f9597b152215daba3211379dad63d3">m_EnableFastMath</a> = params.<a class="code" href="struct_execute_network_params.xhtml#a66f9597b152215daba3211379dad63d3">m_EnableFastMath</a>;</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a9a04b8c7f19a84f63125edec509b6d53">m_SaveCachedNetwork</a> = params.<a class="code" href="struct_execute_network_params.xhtml#a9a04b8c7f19a84f63125edec509b6d53">m_SaveCachedNetwork</a>;</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a9f8881646a38f828f92d3354930c4165">m_CachedNetworkFilePath</a> = params.<a class="code" href="struct_execute_network_params.xhtml#a9f8881646a38f828f92d3354930c4165">m_CachedNetworkFilePath</a>;</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#adc650e032e7fce99f15e2bf903e7167b">m_NumberOfThreads</a> = params.<a class="code" href="struct_execute_network_params.xhtml#adc650e032e7fce99f15e2bf903e7167b">m_NumberOfThreads</a>;</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#ac609a217f4de4c647422dbb358a5f2ef">m_MLGOTuningFilePath</a> = params.<a class="code" href="struct_execute_network_params.xhtml#ac609a217f4de4c647422dbb358a5f2ef">m_MLGOTuningFilePath</a>;</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#af5e88d9bb91dff85ad5a6f7e190aff4e">m_AsyncEnabled</a> = params.<a class="code" href="struct_execute_network_params.xhtml#abf3cb45be3828b72b4ac08f87ac6c779">m_Concurrent</a>;</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a7adc5dcfe3d76ac489f253c4d5f439c8">m_ThreadPoolSize</a> = params.<a class="code" href="struct_execute_network_params.xhtml#a7adc5dcfe3d76ac489f253c4d5f439c8">m_ThreadPoolSize</a>;</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#ae96fc745917a3a0c0de7a818c9a05012">m_OutputDetailsToStdOut</a> = params.<a class="code" href="struct_execute_network_params.xhtml#ae96fc745917a3a0c0de7a818c9a05012">m_OutputDetailsToStdOut</a>;</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#ab17deb382179697b4702cc4f909e71f8">m_OutputDetailsOnlyToStdOut</a> = params.<a class="code" href="struct_execute_network_params.xhtml#ab17deb382179697b4702cc4f909e71f8">m_OutputDetailsOnlyToStdOut</a>;</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span> </div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  <span class="keywordflow">for</span>(<span class="keyword">const</span> std::string& inputName: params.<a class="code" href="struct_execute_network_params.xhtml#aaf3c7f286030842a31025309ab6a8329">m_InputNames</a>)</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  {</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#aad2ac35d4cb83ee4da9fad5fbcb907e0">m_InputBindings</a>.push_back(inputName);</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  }</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span> </div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < params.<a class="code" href="struct_execute_network_params.xhtml#a091cda9098c6f03f91f477a22327892d">m_InputTensorShapes</a>.size(); ++i)</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  {</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#ad69aa6b4967ce55ee4a915c52c71bf2e">m_InputShapes</a>.push_back(*params.<a class="code" href="struct_execute_network_params.xhtml#a091cda9098c6f03f91f477a22327892d">m_InputTensorShapes</a>[i]);</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  }</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span> </div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  <span class="keywordflow">for</span>(<span class="keyword">const</span> std::string& outputName: params.<a class="code" href="struct_execute_network_params.xhtml#a982d4141ecde3eb220a136610d853df2">m_OutputNames</a>)</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  {</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#abeacb4ed1ca9256ee0e8aea73185a0cc">m_OutputBindings</a>.push_back(outputName);</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  }</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span> </div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a2d4582aa74998c397bd064ae73745b62">m_SubgraphId</a> = params.<a class="code" href="struct_execute_network_params.xhtml#a2d4582aa74998c397bd064ae73745b62">m_SubgraphId</a>;</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a513151623e8d448951a0b94ad1946fbe">m_EnableFp16TurboMode</a> = params.<a class="code" href="struct_execute_network_params.xhtml#a513151623e8d448951a0b94ad1946fbe">m_EnableFp16TurboMode</a>;</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a0b99050baebe1d169392461b3a9be08d">m_EnableBf16TurboMode</a> = params.<a class="code" href="struct_execute_network_params.xhtml#a0b99050baebe1d169392461b3a9be08d">m_EnableBf16TurboMode</a>;</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span> </div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  <a class="code" href="class_inference_model.xhtml">InferenceModel<TParser, TDataType></a> model(inferenceModelParams,</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  params.<a class="code" href="struct_execute_network_params.xhtml#a26d42007440bb01a1a6d0ab3b5a657ee">m_EnableProfiling</a>,</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  params.<a class="code" href="struct_execute_network_params.xhtml#ae43cf4b5df0068ee6a9151c98947248b">m_DynamicBackendsPath</a>,</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  runtime);</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span> </div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> numInputs = inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#aad2ac35d4cb83ee4da9fad5fbcb907e0">m_InputBindings</a>.size();</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span> </div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">armnn::Optional<QuantizationParams></a> qParams = params.<a class="code" href="struct_execute_network_params.xhtml#a077f6963fc555d9d42f98cf9ed3e7e03">m_QuantizeInput</a> ?</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  armnn::MakeOptional<QuantizationParams>(</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  model.GetInputQuantizationParams()) :</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">armnn::EmptyOptional</a>();</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span> </div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  <span class="keywordflow">if</span> (params.<a class="code" href="struct_execute_network_params.xhtml#ae3c3ae097395afea488cd3e0244269fa">m_InputTensorDataFilePaths</a>.size() > numInputs)</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  {</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(info) << <span class="stringliteral">"Given network has "</span> << numInputs << <span class="stringliteral">" input/s. One input-tensor-data file is required "</span></div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  << <span class="stringliteral">"for each input. The user provided "</span></div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  << params.<a class="code" href="struct_execute_network_params.xhtml#ae3c3ae097395afea488cd3e0244269fa">m_InputTensorDataFilePaths</a>.size()</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  << <span class="stringliteral">" input-tensor-data file/s which will be used to fill the input/s.\n"</span>;</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  }</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span> </div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j = 0; j < params.<a class="code" href="struct_execute_network_params.xhtml#a6e4eff6a5f40cb026ea76d3c13c96341">m_Iterations</a> ; ++j)</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  {</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  std::vector<armnnUtils::TContainer> inputDataContainers;</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < numInputs; ++i)</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  {</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  <span class="comment">// If there are less input files given than required for the execution of</span></div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  <span class="comment">// params.m_Iterations we simply start with the first input file again</span></div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  <span class="keywordtype">size_t</span> inputFileIndex = j * numInputs + i;</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  <span class="keywordflow">if</span> (!params.<a class="code" href="struct_execute_network_params.xhtml#ae3c3ae097395afea488cd3e0244269fa">m_InputTensorDataFilePaths</a>.empty())</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  {</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  inputFileIndex = inputFileIndex % params.<a class="code" href="struct_execute_network_params.xhtml#ae3c3ae097395afea488cd3e0244269fa">m_InputTensorDataFilePaths</a>.size();</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  }</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span> </div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">armnn::Optional<std::string></a> dataFile = params.<a class="code" href="struct_execute_network_params.xhtml#a99c7360a4d4b248b3f10607bc5d2fe7b">m_GenerateTensorData</a> ?</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">armnn::EmptyOptional</a>() :</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  <a class="code" href="namespacearmnn.xhtml">armnn</a>::<a class="code" href="namespacearmnn.xhtml#a77780137c47f528921f6537447060f05">MakeOptional</a><<a class="code" href="namespacestd.xhtml">std</a>::string>(</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  params.m_InputTensorDataFilePaths.at(inputFileIndex));</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span> </div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numElements = model.GetInputSize(i);</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <span class="keywordflow">if</span> (params.<a class="code" href="struct_execute_network_params.xhtml#a091cda9098c6f03f91f477a22327892d">m_InputTensorShapes</a>.size() > i && params.<a class="code" href="struct_execute_network_params.xhtml#a091cda9098c6f03f91f477a22327892d">m_InputTensorShapes</a>[i])</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  {</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  <span class="comment">// If the user has provided a tensor shape for the current input,</span></div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  <span class="comment">// override numElements</span></div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  numElements = params.<a class="code" href="struct_execute_network_params.xhtml#a091cda9098c6f03f91f477a22327892d">m_InputTensorShapes</a>[i]->GetNumElements();</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  }</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span> </div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  <a class="code" href="namespacearmnn_utils.xhtml#ac7bd4ea667375c07718086368507ed44">armnnUtils::TContainer</a> tensorData;</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  <a class="code" href="_network_execution_utils_8cpp.xhtml#afcaa1d8d70f62d28c2cb7779b6155afb">PopulateTensorWithData</a>(tensorData,</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  numElements,</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  params.<a class="code" href="struct_execute_network_params.xhtml#acc7592cbdfe2e70cbc3794fb1e7eaeb9">m_InputTypes</a>[i],</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  qParams,</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  dataFile);</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span> </div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  inputDataContainers.push_back(tensorData);</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  }</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  inputs.push_back(inputDataContainers);</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  }</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span> </div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> numOutputs = inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#abeacb4ed1ca9256ee0e8aea73185a0cc">m_OutputBindings</a>.size();</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span> </div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  <span class="comment">// The user is allowed to specify the data type of each output tensor. It is used here to construct the</span></div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  <span class="comment">// result tensors for each iteration. It is possible for the user to specify a type that does not match</span></div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  <span class="comment">// the data type of the corresponding model output. It may not make sense, but it is historically allowed.</span></div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  <span class="comment">// The potential problem here is a buffer overrun when a larger data type is written into the space for a</span></div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  <span class="comment">// smaller one. Issue a warning to highlight the potential problem.</span></div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputIdx = 0; outputIdx < model.GetOutputBindingInfos().size(); ++outputIdx)</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  {</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> type = model.GetOutputBindingInfo(outputIdx).second.GetDataType();</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  <span class="keywordflow">switch</span> (type)</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  {</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  <span class="comment">// --output-type only supports float, int, qasymms8 or qasymmu8.</span></div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>:</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  <span class="keywordflow">if</span> (params.<a class="code" href="struct_execute_network_params.xhtml#a810addfa426b5ac1476035dedee7cda5">m_OutputTypes</a>[outputIdx].compare(<span class="stringliteral">"float"</span>) != 0)</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  {</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(warning) << <span class="stringliteral">"Model output index: "</span> << outputIdx << <span class="stringliteral">" has data type Float32. The "</span> <<</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  <span class="stringliteral">"corresponding --output-type is "</span> << params.<a class="code" href="struct_execute_network_params.xhtml#a810addfa426b5ac1476035dedee7cda5">m_OutputTypes</a>[outputIdx] <<</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  <span class="stringliteral">". This may cause unexpected problems or random failures."</span>;</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  }</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>:</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  <span class="keywordflow">if</span> (params.<a class="code" href="struct_execute_network_params.xhtml#a810addfa426b5ac1476035dedee7cda5">m_OutputTypes</a>[outputIdx].compare(<span class="stringliteral">"qasymmu8"</span>) != 0)</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  {</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(warning) << <span class="stringliteral">"Model output index: "</span> << outputIdx << <span class="stringliteral">" has data type QAsymmU8. The "</span> <<</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  <span class="stringliteral">"corresponding --output-type is "</span> << params.<a class="code" href="struct_execute_network_params.xhtml#a810addfa426b5ac1476035dedee7cda5">m_OutputTypes</a>[outputIdx] <<</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  <span class="stringliteral">". This may cause unexpected problemsor random failures."</span>;</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  }</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>:</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  <span class="keywordflow">if</span> (params.<a class="code" href="struct_execute_network_params.xhtml#a810addfa426b5ac1476035dedee7cda5">m_OutputTypes</a>[outputIdx].compare(<span class="stringliteral">"int"</span>) != 0)</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  {</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(warning) << <span class="stringliteral">"Model output index: "</span> << outputIdx << <span class="stringliteral">" has data type Signed32. The "</span> <<</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  <span class="stringliteral">"corresponding --output-type is "</span> << params.<a class="code" href="struct_execute_network_params.xhtml#a810addfa426b5ac1476035dedee7cda5">m_OutputTypes</a>[outputIdx] <<</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  <span class="stringliteral">". This may cause unexpected problems or random failures."</span>;</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  }</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>:</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  <span class="keywordflow">if</span> (params.<a class="code" href="struct_execute_network_params.xhtml#a810addfa426b5ac1476035dedee7cda5">m_OutputTypes</a>[outputIdx].compare(<span class="stringliteral">"qasymms8"</span>) != 0)</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  {</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(warning) << <span class="stringliteral">"Model output index: "</span> << outputIdx << <span class="stringliteral">" has data type QAsymmS8. The "</span> <<</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  <span class="stringliteral">"corresponding --output-type is "</span> << params.<a class="code" href="struct_execute_network_params.xhtml#a810addfa426b5ac1476035dedee7cda5">m_OutputTypes</a>[outputIdx] <<</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  <span class="stringliteral">". This may cause unexpected problems or random failures."</span>;</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  }</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  }</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  }</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j = 0; j < params.<a class="code" href="struct_execute_network_params.xhtml#a6e4eff6a5f40cb026ea76d3c13c96341">m_Iterations</a>; ++j)</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  {</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  std::vector <armnnUtils::TContainer> outputDataContainers;</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < numOutputs; ++i)</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  {</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  <span class="keywordflow">if</span> (params.<a class="code" href="struct_execute_network_params.xhtml#a810addfa426b5ac1476035dedee7cda5">m_OutputTypes</a>[i].compare(<span class="stringliteral">"float"</span>) == 0)</div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  {</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  outputDataContainers.push_back(std::vector<float>(model.GetOutputSize(i)));</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  }</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (params.<a class="code" href="struct_execute_network_params.xhtml#a810addfa426b5ac1476035dedee7cda5">m_OutputTypes</a>[i].compare(<span class="stringliteral">"int"</span>) == 0)</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  {</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  outputDataContainers.push_back(std::vector<int>(model.GetOutputSize(i)));</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  }</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (params.<a class="code" href="struct_execute_network_params.xhtml#a810addfa426b5ac1476035dedee7cda5">m_OutputTypes</a>[i].compare(<span class="stringliteral">"qasymm8"</span>) == 0 ||</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  params.<a class="code" href="struct_execute_network_params.xhtml#a810addfa426b5ac1476035dedee7cda5">m_OutputTypes</a>[i].compare(<span class="stringliteral">"qasymmu8"</span>) == 0)</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  {</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  outputDataContainers.push_back(std::vector<uint8_t>(model.GetOutputSize(i)));</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  }</div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (params.<a class="code" href="struct_execute_network_params.xhtml#a810addfa426b5ac1476035dedee7cda5">m_OutputTypes</a>[i].compare(<span class="stringliteral">"qasymms8"</span>) == 0)</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  {</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  outputDataContainers.push_back(std::vector<int8_t>(model.GetOutputSize(i)));</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  } <span class="keywordflow">else</span></div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  {</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Unsupported tensor data type \""</span> << params.<a class="code" href="struct_execute_network_params.xhtml#a810addfa426b5ac1476035dedee7cda5">m_OutputTypes</a>[i] << <span class="stringliteral">"\". "</span>;</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  }</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  }</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  outputs.push_back(outputDataContainers);</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  }</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span> </div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  <span class="keywordflow">if</span> (params.<a class="code" href="struct_execute_network_params.xhtml#a6e4eff6a5f40cb026ea76d3c13c96341">m_Iterations</a> > 1)</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  {</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  std::stringstream msg;</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  msg << <span class="stringliteral">"Network will be executed "</span> << params.<a class="code" href="struct_execute_network_params.xhtml#a6e4eff6a5f40cb026ea76d3c13c96341">m_Iterations</a>;</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  <span class="keywordflow">if</span> (params.<a class="code" href="struct_execute_network_params.xhtml#abf3cb45be3828b72b4ac08f87ac6c779">m_Concurrent</a>)</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  {</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  msg << <span class="stringliteral">" times in an asynchronous manner. "</span>;</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  }</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  {</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  msg << <span class="stringliteral">" times successively. "</span>;</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  }</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  msg << <span class="stringliteral">"The input-tensor-data files will be reused recursively if the user didn't provide enough to "</span></div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  <span class="stringliteral">"cover each execution."</span>;</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(info) << msg.str();</div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  }</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span> </div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  <span class="comment">// Synchronous execution</span></div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  <span class="keywordflow">if</span> (!params.<a class="code" href="struct_execute_network_params.xhtml#abf3cb45be3828b72b4ac08f87ac6c779">m_Concurrent</a>)</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  {</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> x = 0; x < params.<a class="code" href="struct_execute_network_params.xhtml#a6e4eff6a5f40cb026ea76d3c13c96341">m_Iterations</a>; x++)</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  {</div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  <span class="comment">// model.Run returns the inference time elapsed in EnqueueWorkload (in milliseconds)</span></div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  <span class="keyword">auto</span> inference_duration = model.Run(inputs[x], outputs[x]);</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span> </div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  <span class="keywordflow">if</span> (params.<a class="code" href="struct_execute_network_params.xhtml#a99c7360a4d4b248b3f10607bc5d2fe7b">m_GenerateTensorData</a>)</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  {</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(warning) << <span class="stringliteral">"The input data was generated, note that the output will not be useful"</span>;</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  }</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  <span class="keywordflow">if</span> (params.<a class="code" href="struct_execute_network_params.xhtml#ac828647e0c753c3727c8c1f81939f7e4">m_DontPrintOutputs</a>)</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  {</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(info) << <span class="stringliteral">"Printing outputs to console is disabled."</span>;</div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  }</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span> </div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  <span class="comment">// Print output tensors</span></div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  <span class="keyword">const</span> <span class="keyword">auto</span>& infosOut = model.GetOutputBindingInfos();</div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < numOutputs; i++)</div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  {</div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& infoOut = infosOut[i].second;</div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span> </div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  <span class="comment">// We've made sure before that the number of output files either equals numOutputs, in which</span></div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  <span class="comment">// case we override those files when processing the results of each iteration (only the result</span></div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  <span class="comment">// of the last iteration will be stored), or there are enough</span></div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  <span class="comment">// output files for each output of each iteration.</span></div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  <span class="keywordtype">size_t</span> outputFileIndex = x * numOutputs + i;</div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  <span class="keywordflow">if</span> (!params.<a class="code" href="struct_execute_network_params.xhtml#a74d346297c55b516908c541030adc88d">m_OutputTensorFiles</a>.empty())</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  {</div><div class="line"><a name="l00601"></a><span class="lineno"> 601</span>  outputFileIndex = outputFileIndex % params.<a class="code" href="struct_execute_network_params.xhtml#a74d346297c55b516908c541030adc88d">m_OutputTensorFiles</a>.size();</div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(info) << <span class="stringliteral">"Writing output "</span> << i << <span class="stringliteral">" named: '"</span></div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  << inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#abeacb4ed1ca9256ee0e8aea73185a0cc">m_OutputBindings</a>[i]</div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  << <span class="stringliteral">"' of iteration: "</span> << x+1 << <span class="stringliteral">" to file: '"</span></div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  << params.<a class="code" href="struct_execute_network_params.xhtml#a74d346297c55b516908c541030adc88d">m_OutputTensorFiles</a>[outputFileIndex] << <span class="stringliteral">"'"</span>;</div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  }</div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  <span class="keyword">auto</span> outputTensorFile = params.<a class="code" href="struct_execute_network_params.xhtml#a74d346297c55b516908c541030adc88d">m_OutputTensorFiles</a>.empty()</div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  ? <span class="stringliteral">""</span></div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  : params.<a class="code" href="struct_execute_network_params.xhtml#a74d346297c55b516908c541030adc88d">m_OutputTensorFiles</a>[outputFileIndex];</div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span> </div><div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  <a class="code" href="struct_tensor_printer.xhtml">TensorPrinter</a> printer(inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#abeacb4ed1ca9256ee0e8aea73185a0cc">m_OutputBindings</a>[i],</div><div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  infoOut,</div><div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  outputTensorFile,</div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  params.<a class="code" href="struct_execute_network_params.xhtml#a85929a48c5e7b16af8f5bc637e45a37f">m_DequantizeOutput</a>,</div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  !params.<a class="code" href="struct_execute_network_params.xhtml#ac828647e0c753c3727c8c1f81939f7e4">m_DontPrintOutputs</a>);</div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  mapbox::util::apply_visitor(printer, outputs[x][i]);</div><div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  }</div><div class="line"><a name="l00618"></a><span class="lineno"> 618</span> </div><div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(info) << <span class="stringliteral">"\nInference time: "</span> << std::setprecision(2)</div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  << std::fixed << inference_duration.count() << <span class="stringliteral">" ms\n"</span>;</div><div class="line"><a name="l00621"></a><span class="lineno"> 621</span> </div><div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  <span class="comment">// If thresholdTime == 0.0 (default), then it hasn't been supplied at command line</span></div><div class="line"><a name="l00623"></a><span class="lineno"> 623</span>  <span class="keywordflow">if</span> (params.<a class="code" href="struct_execute_network_params.xhtml#a318999172ae5197f56326b12d29104b7">m_ThresholdTime</a> != 0.0)</div><div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  {</div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(info) << <span class="stringliteral">"Threshold time: "</span> << std::setprecision(2)</div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  << std::fixed << params.<a class="code" href="struct_execute_network_params.xhtml#a318999172ae5197f56326b12d29104b7">m_ThresholdTime</a> << <span class="stringliteral">" ms"</span>;</div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span>  <span class="keyword">auto</span> thresholdMinusInference = params.<a class="code" href="struct_execute_network_params.xhtml#a318999172ae5197f56326b12d29104b7">m_ThresholdTime</a> - inference_duration.count();</div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(info) << <span class="stringliteral">"Threshold time - Inference time: "</span> << std::setprecision(2)</div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  << std::fixed << thresholdMinusInference << <span class="stringliteral">" ms"</span> << <span class="stringliteral">"\n"</span>;</div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span> </div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  <span class="keywordflow">if</span> (thresholdMinusInference < 0)</div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  {</div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  std::string errorMessage = <span class="stringliteral">"Elapsed inference time is greater than provided threshold time."</span>;</div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << errorMessage;</div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  }</div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  }</div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  }</div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  }</div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  <span class="comment">// Asynchronous execution using the Arm NN thread pool</span></div><div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (params.<a class="code" href="struct_execute_network_params.xhtml#a7adc5dcfe3d76ac489f253c4d5f439c8">m_ThreadPoolSize</a> >= 1)</div><div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  {</div><div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  <span class="keywordflow">try</span></div><div class="line"><a name="l00643"></a><span class="lineno"> 643</span>  {</div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(info) << <span class="stringliteral">"Asynchronous execution with Arm NN thread pool... \n"</span>;</div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span>  <a class="code" href="classarmnn_1_1experimental_1_1_async_callback_manager.xhtml">armnn::AsyncCallbackManager</a> callbackManager;</div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  std::unordered_map<armnn::InferenceId, std::vector<armnnUtils::TContainer>&> inferenceOutputMap;</div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span> </div><div class="line"><a name="l00648"></a><span class="lineno"> 648</span>  <span class="comment">// Declare the latest and earliest inference times here to be used when calculating overall time</span></div><div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  std::chrono::high_resolution_clock::time_point earliestStartTime;</div><div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  std::chrono::high_resolution_clock::time_point latestEndTime =</div><div class="line"><a name="l00651"></a><span class="lineno"> 651</span>  std::chrono::high_resolution_clock::now();</div><div class="line"><a name="l00652"></a><span class="lineno"> 652</span> </div><div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  <span class="comment">// For the asynchronous execution, we are adding a pool of working memory handles (1 per thread) in the</span></div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  <span class="comment">// LoadedNetwork with each scheduled inference having a specific priority</span></div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < params.<a class="code" href="struct_execute_network_params.xhtml#a6e4eff6a5f40cb026ea76d3c13c96341">m_Iterations</a>; ++i)</div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span>  {</div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  std::shared_ptr<armnn::AsyncExecutionCallback> cb = callbackManager.<a class="code" href="classarmnn_1_1experimental_1_1_async_callback_manager.xhtml#a27aff9e4e5d9bce49988a2de6a1ebc59">GetNewCallback</a>();</div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  inferenceOutputMap.insert({cb->GetInferenceId(), outputs[i]});</div><div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  model.RunAsync(inputs[i], outputs[i], cb);</div><div class="line"><a name="l00660"></a><span class="lineno"> 660</span>  }</div><div class="line"><a name="l00661"></a><span class="lineno"> 661</span> </div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  <span class="comment">// Check the results</span></div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j = 0;</div><div class="line"><a name="l00664"></a><span class="lineno"> 664</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> iteration = 0; iteration < params.<a class="code" href="struct_execute_network_params.xhtml#a6e4eff6a5f40cb026ea76d3c13c96341">m_Iterations</a>; ++iteration)</div><div class="line"><a name="l00665"></a><span class="lineno"> 665</span>  {</div><div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  <span class="keyword">auto</span> cb = callbackManager.<a class="code" href="classarmnn_1_1experimental_1_1_async_callback_manager.xhtml#a9ee5b1dd7d3a6f619d2ed3d97d75d9b1">GetNotifiedCallback</a>();</div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span> </div><div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  <span class="comment">// Get the results</span></div><div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  <span class="keyword">auto</span> endTime = time_point_cast<std::chrono::milliseconds>(cb->GetEndTime());</div><div class="line"><a name="l00670"></a><span class="lineno"> 670</span>  <span class="keyword">auto</span> startTime = time_point_cast<std::chrono::milliseconds>(cb->GetStartTime());</div><div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  <span class="keyword">auto</span> inferenceDuration = endTime - startTime;</div><div class="line"><a name="l00672"></a><span class="lineno"> 672</span> </div><div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  <span class="keywordflow">if</span> (latestEndTime < cb->GetEndTime())</div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span>  {</div><div class="line"><a name="l00675"></a><span class="lineno"> 675</span>  latestEndTime = cb->GetEndTime();</div><div class="line"><a name="l00676"></a><span class="lineno"> 676</span>  }</div><div class="line"><a name="l00677"></a><span class="lineno"> 677</span> </div><div class="line"><a name="l00678"></a><span class="lineno"> 678</span>  <span class="keywordflow">if</span> (earliestStartTime.time_since_epoch().count() == 0)</div><div class="line"><a name="l00679"></a><span class="lineno"> 679</span>  {</div><div class="line"><a name="l00680"></a><span class="lineno"> 680</span>  earliestStartTime = cb->GetStartTime();</div><div class="line"><a name="l00681"></a><span class="lineno"> 681</span>  }</div><div class="line"><a name="l00682"></a><span class="lineno"> 682</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (earliestStartTime > cb->GetStartTime())</div><div class="line"><a name="l00683"></a><span class="lineno"> 683</span>  {</div><div class="line"><a name="l00684"></a><span class="lineno"> 684</span>  earliestStartTime = cb->GetStartTime();</div><div class="line"><a name="l00685"></a><span class="lineno"> 685</span>  }</div><div class="line"><a name="l00686"></a><span class="lineno"> 686</span> </div><div class="line"><a name="l00687"></a><span class="lineno"> 687</span>  <span class="keywordflow">if</span> (params.<a class="code" href="struct_execute_network_params.xhtml#a99c7360a4d4b248b3f10607bc5d2fe7b">m_GenerateTensorData</a>)</div><div class="line"><a name="l00688"></a><span class="lineno"> 688</span>  {</div><div class="line"><a name="l00689"></a><span class="lineno"> 689</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(warning) << <span class="stringliteral">"The input data was generated, note that the output will not be useful"</span>;</div><div class="line"><a name="l00690"></a><span class="lineno"> 690</span>  }</div><div class="line"><a name="l00691"></a><span class="lineno"> 691</span>  <span class="keywordflow">if</span> (params.<a class="code" href="struct_execute_network_params.xhtml#ac828647e0c753c3727c8c1f81939f7e4">m_DontPrintOutputs</a>)</div><div class="line"><a name="l00692"></a><span class="lineno"> 692</span>  {</div><div class="line"><a name="l00693"></a><span class="lineno"> 693</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(info) << <span class="stringliteral">"Printing outputs to console is disabled."</span>;</div><div class="line"><a name="l00694"></a><span class="lineno"> 694</span>  }</div><div class="line"><a name="l00695"></a><span class="lineno"> 695</span> </div><div class="line"><a name="l00696"></a><span class="lineno"> 696</span>  <span class="comment">// Print output tensors</span></div><div class="line"><a name="l00697"></a><span class="lineno"> 697</span>  <span class="keyword">const</span> <span class="keyword">auto</span>& infosOut = model.GetOutputBindingInfos();</div><div class="line"><a name="l00698"></a><span class="lineno"> 698</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < numOutputs; i++)</div><div class="line"><a name="l00699"></a><span class="lineno"> 699</span>  {</div><div class="line"><a name="l00700"></a><span class="lineno"> 700</span>  <span class="comment">// We've made sure before that the number of output files either equals numOutputs, in which</span></div><div class="line"><a name="l00701"></a><span class="lineno"> 701</span>  <span class="comment">// case we override those files when processing the results of each iteration (only the</span></div><div class="line"><a name="l00702"></a><span class="lineno"> 702</span>  <span class="comment">// result of the last iteration will be stored), or there are enough</span></div><div class="line"><a name="l00703"></a><span class="lineno"> 703</span>  <span class="comment">// output files for each output of each iteration.</span></div><div class="line"><a name="l00704"></a><span class="lineno"> 704</span>  <span class="keywordtype">size_t</span> outputFileIndex = iteration * numOutputs + i;</div><div class="line"><a name="l00705"></a><span class="lineno"> 705</span>  <span class="keywordflow">if</span> (!params.<a class="code" href="struct_execute_network_params.xhtml#a74d346297c55b516908c541030adc88d">m_OutputTensorFiles</a>.empty())</div><div class="line"><a name="l00706"></a><span class="lineno"> 706</span>  {</div><div class="line"><a name="l00707"></a><span class="lineno"> 707</span>  outputFileIndex = outputFileIndex % params.<a class="code" href="struct_execute_network_params.xhtml#a74d346297c55b516908c541030adc88d">m_OutputTensorFiles</a>.size();</div><div class="line"><a name="l00708"></a><span class="lineno"> 708</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(info) << <span class="stringliteral">"Writing output "</span> << i << <span class="stringliteral">" named: '"</span></div><div class="line"><a name="l00709"></a><span class="lineno"> 709</span>  << inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#abeacb4ed1ca9256ee0e8aea73185a0cc">m_OutputBindings</a>[i]</div><div class="line"><a name="l00710"></a><span class="lineno"> 710</span>  << <span class="stringliteral">"' of iteration: "</span> << iteration+1 << <span class="stringliteral">" to file: '"</span></div><div class="line"><a name="l00711"></a><span class="lineno"> 711</span>  << params.<a class="code" href="struct_execute_network_params.xhtml#a74d346297c55b516908c541030adc88d">m_OutputTensorFiles</a>[outputFileIndex] << <span class="stringliteral">"'"</span>;</div><div class="line"><a name="l00712"></a><span class="lineno"> 712</span>  }</div><div class="line"><a name="l00713"></a><span class="lineno"> 713</span> </div><div class="line"><a name="l00714"></a><span class="lineno"> 714</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& infoOut = infosOut[i].second;</div><div class="line"><a name="l00715"></a><span class="lineno"> 715</span>  <span class="keyword">auto</span> outputTensorFile = params.<a class="code" href="struct_execute_network_params.xhtml#a74d346297c55b516908c541030adc88d">m_OutputTensorFiles</a>.empty()</div><div class="line"><a name="l00716"></a><span class="lineno"> 716</span>  ? <span class="stringliteral">""</span></div><div class="line"><a name="l00717"></a><span class="lineno"> 717</span>  : params.<a class="code" href="struct_execute_network_params.xhtml#a74d346297c55b516908c541030adc88d">m_OutputTensorFiles</a>[outputFileIndex];</div><div class="line"><a name="l00718"></a><span class="lineno"> 718</span> </div><div class="line"><a name="l00719"></a><span class="lineno"> 719</span>  <a class="code" href="struct_tensor_printer.xhtml">TensorPrinter</a> printer(inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#abeacb4ed1ca9256ee0e8aea73185a0cc">m_OutputBindings</a>[i],</div><div class="line"><a name="l00720"></a><span class="lineno"> 720</span>  infoOut,</div><div class="line"><a name="l00721"></a><span class="lineno"> 721</span>  outputTensorFile,</div><div class="line"><a name="l00722"></a><span class="lineno"> 722</span>  params.<a class="code" href="struct_execute_network_params.xhtml#a85929a48c5e7b16af8f5bc637e45a37f">m_DequantizeOutput</a>,</div><div class="line"><a name="l00723"></a><span class="lineno"> 723</span>  !params.<a class="code" href="struct_execute_network_params.xhtml#ac828647e0c753c3727c8c1f81939f7e4">m_DontPrintOutputs</a>);</div><div class="line"><a name="l00724"></a><span class="lineno"> 724</span>  mapbox::util::apply_visitor(printer, inferenceOutputMap.at(cb->GetInferenceId())[i]);</div><div class="line"><a name="l00725"></a><span class="lineno"> 725</span>  }</div><div class="line"><a name="l00726"></a><span class="lineno"> 726</span> </div><div class="line"><a name="l00727"></a><span class="lineno"> 727</span>  <a class="code" href="_execute_network_8cpp.xhtml#ab9be7e320a1879b362298cb198250dae">CheckInferenceTimeThreshold</a>(inferenceDuration, params.<a class="code" href="struct_execute_network_params.xhtml#a318999172ae5197f56326b12d29104b7">m_ThresholdTime</a>);</div><div class="line"><a name="l00728"></a><span class="lineno"> 728</span>  ++j;</div><div class="line"><a name="l00729"></a><span class="lineno"> 729</span>  }</div><div class="line"><a name="l00730"></a><span class="lineno"> 730</span>  <span class="comment">//print duration difference between overallStartTime and overallEndTime</span></div><div class="line"><a name="l00731"></a><span class="lineno"> 731</span>  <span class="keyword">auto</span> overallEndTime = time_point_cast<std::chrono::milliseconds>(latestEndTime);</div><div class="line"><a name="l00732"></a><span class="lineno"> 732</span>  <span class="keyword">auto</span> overallStartTime = time_point_cast<std::chrono::milliseconds>(earliestStartTime);</div><div class="line"><a name="l00733"></a><span class="lineno"> 733</span>  <span class="keyword">auto</span> totalInferenceDuration = overallEndTime - overallStartTime;</div><div class="line"><a name="l00734"></a><span class="lineno"> 734</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(info) << <span class="stringliteral">"\nOverall Inference time: "</span> << std::setprecision(2)</div><div class="line"><a name="l00735"></a><span class="lineno"> 735</span>  << std::fixed << totalInferenceDuration.count() << <span class="stringliteral">" ms\n"</span>;</div><div class="line"><a name="l00736"></a><span class="lineno"> 736</span>  }</div><div class="line"><a name="l00737"></a><span class="lineno"> 737</span>  <span class="keywordflow">catch</span> (<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_exception.xhtml">armnn::Exception</a>& e)</div><div class="line"><a name="l00738"></a><span class="lineno"> 738</span>  {</div><div class="line"><a name="l00739"></a><span class="lineno"> 739</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Armnn Error: "</span> << e.<a class="code" href="classarmnn_1_1_exception.xhtml#abf843cbb29dec939d0731e491bab6f70">what</a>();</div><div class="line"><a name="l00740"></a><span class="lineno"> 740</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00741"></a><span class="lineno"> 741</span>  }</div><div class="line"><a name="l00742"></a><span class="lineno"> 742</span>  }</div><div class="line"><a name="l00743"></a><span class="lineno"> 743</span>  <span class="comment">// Asynchronous execution using std::launch::async</span></div><div class="line"><a name="l00744"></a><span class="lineno"> 744</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00745"></a><span class="lineno"> 745</span>  {</div><div class="line"><a name="l00746"></a><span class="lineno"> 746</span>  <span class="keywordflow">try</span></div><div class="line"><a name="l00747"></a><span class="lineno"> 747</span>  {</div><div class="line"><a name="l00748"></a><span class="lineno"> 748</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(info) << <span class="stringliteral">"Asynchronous Execution with std::launch:async... \n"</span>;</div><div class="line"><a name="l00749"></a><span class="lineno"> 749</span>  std::vector<std::future<std::tuple<<span class="keywordtype">unsigned</span> int,</div><div class="line"><a name="l00750"></a><span class="lineno"> 750</span>  std::chrono::duration<double, std::milli>>>> inferenceResults;</div><div class="line"><a name="l00751"></a><span class="lineno"> 751</span>  inferenceResults.reserve(params.<a class="code" href="struct_execute_network_params.xhtml#a6e4eff6a5f40cb026ea76d3c13c96341">m_Iterations</a>);</div><div class="line"><a name="l00752"></a><span class="lineno"> 752</span> </div><div class="line"><a name="l00753"></a><span class="lineno"> 753</span>  <span class="comment">// Create WorkingMemHandles for each inference</span></div><div class="line"><a name="l00754"></a><span class="lineno"> 754</span>  std::vector<std::unique_ptr<armnn::experimental::IWorkingMemHandle>> workingMemHandles;</div><div class="line"><a name="l00755"></a><span class="lineno"> 755</span>  workingMemHandles.reserve(params.<a class="code" href="struct_execute_network_params.xhtml#a6e4eff6a5f40cb026ea76d3c13c96341">m_Iterations</a>);</div><div class="line"><a name="l00756"></a><span class="lineno"> 756</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < params.<a class="code" href="struct_execute_network_params.xhtml#a6e4eff6a5f40cb026ea76d3c13c96341">m_Iterations</a>; ++i)</div><div class="line"><a name="l00757"></a><span class="lineno"> 757</span>  {</div><div class="line"><a name="l00758"></a><span class="lineno"> 758</span>  workingMemHandles.push_back(model.CreateWorkingMemHandle());</div><div class="line"><a name="l00759"></a><span class="lineno"> 759</span>  }</div><div class="line"><a name="l00760"></a><span class="lineno"> 760</span> </div><div class="line"><a name="l00761"></a><span class="lineno"> 761</span>  <span class="comment">// Run each inference in its own thread</span></div><div class="line"><a name="l00762"></a><span class="lineno"> 762</span>  <span class="comment">// start a timer</span></div><div class="line"><a name="l00763"></a><span class="lineno"> 763</span>  <span class="keyword">const</span> <span class="keyword">auto</span> start_time = <a class="code" href="namespacearmnn.xhtml#ac895f6f6897ce335b7b433201bae0b48">armnn::GetTimeNow</a>();</div><div class="line"><a name="l00764"></a><span class="lineno"> 764</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < params.<a class="code" href="struct_execute_network_params.xhtml#a6e4eff6a5f40cb026ea76d3c13c96341">m_Iterations</a>; ++i)</div><div class="line"><a name="l00765"></a><span class="lineno"> 765</span>  {</div><div class="line"><a name="l00766"></a><span class="lineno"> 766</span>  <a class="code" href="classarmnn_1_1experimental_1_1_i_working_mem_handle.xhtml">armnn::experimental::IWorkingMemHandle</a>& workingMemHandleRef = *workingMemHandles[i].get();</div><div class="line"><a name="l00767"></a><span class="lineno"> 767</span> </div><div class="line"><a name="l00768"></a><span class="lineno"> 768</span>  inferenceResults.push_back(std::async(</div><div class="line"><a name="l00769"></a><span class="lineno"> 769</span>  std::launch::async, [&model, &workingMemHandleRef, &inputs, &outputs, i]() {</div><div class="line"><a name="l00770"></a><span class="lineno"> 770</span>  <span class="keywordflow">return</span> model.RunAsync(workingMemHandleRef, inputs[i], outputs[i], i);</div><div class="line"><a name="l00771"></a><span class="lineno"> 771</span>  }</div><div class="line"><a name="l00772"></a><span class="lineno"> 772</span>  ));</div><div class="line"><a name="l00773"></a><span class="lineno"> 773</span>  }</div><div class="line"><a name="l00774"></a><span class="lineno"> 774</span> </div><div class="line"><a name="l00775"></a><span class="lineno"> 775</span>  <span class="comment">// Check the results</span></div><div class="line"><a name="l00776"></a><span class="lineno"> 776</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j = 0; j < inferenceResults.size(); ++j)</div><div class="line"><a name="l00777"></a><span class="lineno"> 777</span>  {</div><div class="line"><a name="l00778"></a><span class="lineno"> 778</span>  <span class="comment">// Get the results</span></div><div class="line"><a name="l00779"></a><span class="lineno"> 779</span>  <span class="keyword">auto</span> inferenceResult = inferenceResults[j].get();</div><div class="line"><a name="l00780"></a><span class="lineno"> 780</span>  <span class="keyword">auto</span> inferenceDuration = std::get<1>(inferenceResult);</div><div class="line"><a name="l00781"></a><span class="lineno"> 781</span>  <span class="keyword">auto</span> inferenceID = std::get<0>(inferenceResult);</div><div class="line"><a name="l00782"></a><span class="lineno"> 782</span> </div><div class="line"><a name="l00783"></a><span class="lineno"> 783</span>  <span class="keywordflow">if</span> (params.<a class="code" href="struct_execute_network_params.xhtml#a99c7360a4d4b248b3f10607bc5d2fe7b">m_GenerateTensorData</a>)</div><div class="line"><a name="l00784"></a><span class="lineno"> 784</span>  {</div><div class="line"><a name="l00785"></a><span class="lineno"> 785</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(warning) << <span class="stringliteral">"The input data was generated, note that the output will not be useful"</span>;</div><div class="line"><a name="l00786"></a><span class="lineno"> 786</span>  }</div><div class="line"><a name="l00787"></a><span class="lineno"> 787</span>  <span class="keywordflow">if</span> (params.<a class="code" href="struct_execute_network_params.xhtml#ac828647e0c753c3727c8c1f81939f7e4">m_DontPrintOutputs</a>)</div><div class="line"><a name="l00788"></a><span class="lineno"> 788</span>  {</div><div class="line"><a name="l00789"></a><span class="lineno"> 789</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(info) << <span class="stringliteral">"Printing outputs to console is disabled."</span>;</div><div class="line"><a name="l00790"></a><span class="lineno"> 790</span>  }</div><div class="line"><a name="l00791"></a><span class="lineno"> 791</span> </div><div class="line"><a name="l00792"></a><span class="lineno"> 792</span>  <span class="comment">// Print output tensors</span></div><div class="line"><a name="l00793"></a><span class="lineno"> 793</span>  <span class="keyword">const</span> <span class="keyword">auto</span>& infosOut = model.GetOutputBindingInfos();</div><div class="line"><a name="l00794"></a><span class="lineno"> 794</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < numOutputs; i++)</div><div class="line"><a name="l00795"></a><span class="lineno"> 795</span>  {</div><div class="line"><a name="l00796"></a><span class="lineno"> 796</span>  <span class="comment">// We've made sure before that the number of output files either equals numOutputs, in which</span></div><div class="line"><a name="l00797"></a><span class="lineno"> 797</span>  <span class="comment">// case we override those files when processing the results of each iteration (only the</span></div><div class="line"><a name="l00798"></a><span class="lineno"> 798</span>  <span class="comment">// result of the last iteration will be stored), or there are enough</span></div><div class="line"><a name="l00799"></a><span class="lineno"> 799</span>  <span class="comment">// output files for each output of each iteration.</span></div><div class="line"><a name="l00800"></a><span class="lineno"> 800</span>  <span class="keywordtype">size_t</span> outputFileIndex = j * numOutputs + i;</div><div class="line"><a name="l00801"></a><span class="lineno"> 801</span>  <span class="keywordflow">if</span> (!params.<a class="code" href="struct_execute_network_params.xhtml#a74d346297c55b516908c541030adc88d">m_OutputTensorFiles</a>.empty())</div><div class="line"><a name="l00802"></a><span class="lineno"> 802</span>  {</div><div class="line"><a name="l00803"></a><span class="lineno"> 803</span>  outputFileIndex = outputFileIndex % params.<a class="code" href="struct_execute_network_params.xhtml#a74d346297c55b516908c541030adc88d">m_OutputTensorFiles</a>.size();</div><div class="line"><a name="l00804"></a><span class="lineno"> 804</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(info) << <span class="stringliteral">"Writing output "</span> << i << <span class="stringliteral">" named: '"</span></div><div class="line"><a name="l00805"></a><span class="lineno"> 805</span>  << inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#abeacb4ed1ca9256ee0e8aea73185a0cc">m_OutputBindings</a>[i]</div><div class="line"><a name="l00806"></a><span class="lineno"> 806</span>  << <span class="stringliteral">"' of iteration: "</span> << j+1 << <span class="stringliteral">" to file: '"</span></div><div class="line"><a name="l00807"></a><span class="lineno"> 807</span>  << params.<a class="code" href="struct_execute_network_params.xhtml#a74d346297c55b516908c541030adc88d">m_OutputTensorFiles</a>[outputFileIndex] << <span class="stringliteral">"'"</span>;</div><div class="line"><a name="l00808"></a><span class="lineno"> 808</span>  }</div><div class="line"><a name="l00809"></a><span class="lineno"> 809</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& infoOut = infosOut[i].second;</div><div class="line"><a name="l00810"></a><span class="lineno"> 810</span>  <span class="keyword">auto</span> outputTensorFile = params.<a class="code" href="struct_execute_network_params.xhtml#a74d346297c55b516908c541030adc88d">m_OutputTensorFiles</a>.empty()</div><div class="line"><a name="l00811"></a><span class="lineno"> 811</span>  ? <span class="stringliteral">""</span></div><div class="line"><a name="l00812"></a><span class="lineno"> 812</span>  : params.<a class="code" href="struct_execute_network_params.xhtml#a74d346297c55b516908c541030adc88d">m_OutputTensorFiles</a>[outputFileIndex];</div><div class="line"><a name="l00813"></a><span class="lineno"> 813</span> </div><div class="line"><a name="l00814"></a><span class="lineno"> 814</span>  <a class="code" href="struct_tensor_printer.xhtml">TensorPrinter</a> printer(inferenceModelParams.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#abeacb4ed1ca9256ee0e8aea73185a0cc">m_OutputBindings</a>[i],</div><div class="line"><a name="l00815"></a><span class="lineno"> 815</span>  infoOut,</div><div class="line"><a name="l00816"></a><span class="lineno"> 816</span>  outputTensorFile,</div><div class="line"><a name="l00817"></a><span class="lineno"> 817</span>  params.<a class="code" href="struct_execute_network_params.xhtml#a85929a48c5e7b16af8f5bc637e45a37f">m_DequantizeOutput</a>,</div><div class="line"><a name="l00818"></a><span class="lineno"> 818</span>  !params.<a class="code" href="struct_execute_network_params.xhtml#ac828647e0c753c3727c8c1f81939f7e4">m_DontPrintOutputs</a>);</div><div class="line"><a name="l00819"></a><span class="lineno"> 819</span>  mapbox::util::apply_visitor(printer, outputs[j][i]);</div><div class="line"><a name="l00820"></a><span class="lineno"> 820</span>  }</div><div class="line"><a name="l00821"></a><span class="lineno"> 821</span>  <a class="code" href="_execute_network_8cpp.xhtml#ab9be7e320a1879b362298cb198250dae">CheckInferenceTimeThreshold</a>(inferenceDuration, params.<a class="code" href="struct_execute_network_params.xhtml#a318999172ae5197f56326b12d29104b7">m_ThresholdTime</a>);</div><div class="line"><a name="l00822"></a><span class="lineno"> 822</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(info) << <span class="stringliteral">"Asynchronous Execution is finished for Inference ID: "</span> << inferenceID << <span class="stringliteral">" \n"</span>;</div><div class="line"><a name="l00823"></a><span class="lineno"> 823</span>  }</div><div class="line"><a name="l00824"></a><span class="lineno"> 824</span>  <span class="comment">// finish timer</span></div><div class="line"><a name="l00825"></a><span class="lineno"> 825</span>  <span class="keyword">const</span> <span class="keyword">auto</span> duration = <a class="code" href="namespacearmnn.xhtml#a441621f00fd5665898c81a5ae3473c6b">armnn::GetTimeDuration</a>(start_time);</div><div class="line"><a name="l00826"></a><span class="lineno"> 826</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(info) << <span class="stringliteral">"\nOverall Inference time: "</span> << std::setprecision(2)</div><div class="line"><a name="l00827"></a><span class="lineno"> 827</span>  << std::fixed << duration.count() << <span class="stringliteral">" ms\n"</span>;</div><div class="line"><a name="l00828"></a><span class="lineno"> 828</span>  }</div><div class="line"><a name="l00829"></a><span class="lineno"> 829</span>  <span class="keywordflow">catch</span> (<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_exception.xhtml">armnn::Exception</a>& e)</div><div class="line"><a name="l00830"></a><span class="lineno"> 830</span>  {</div><div class="line"><a name="l00831"></a><span class="lineno"> 831</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Armnn Error: "</span> << e.<a class="code" href="classarmnn_1_1_exception.xhtml#abf843cbb29dec939d0731e491bab6f70">what</a>();</div><div class="line"><a name="l00832"></a><span class="lineno"> 832</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00833"></a><span class="lineno"> 833</span>  }</div><div class="line"><a name="l00834"></a><span class="lineno"> 834</span>  }</div><div class="line"><a name="l00835"></a><span class="lineno"> 835</span>  }</div><div class="line"><a name="l00836"></a><span class="lineno"> 836</span>  <span class="keywordflow">catch</span> (<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_exception.xhtml">armnn::Exception</a>& e)</div><div class="line"><a name="l00837"></a><span class="lineno"> 837</span>  {</div><div class="line"><a name="l00838"></a><span class="lineno"> 838</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Armnn Error: "</span> << e.<a class="code" href="classarmnn_1_1_exception.xhtml#abf843cbb29dec939d0731e491bab6f70">what</a>();</div><div class="line"><a name="l00839"></a><span class="lineno"> 839</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00840"></a><span class="lineno"> 840</span>  }</div><div class="line"><a name="l00841"></a><span class="lineno"> 841</span> </div><div class="line"><a name="l00842"></a><span class="lineno"> 842</span>  <span class="keywordflow">return</span> EXIT_SUCCESS;</div><div class="line"><a name="l00843"></a><span class="lineno"> 843</span> }</div><div class="ttc" id="struct_execute_network_params_xhtml_acc7592cbdfe2e70cbc3794fb1e7eaeb9"><div class="ttname"><a href="struct_execute_network_params.xhtml#acc7592cbdfe2e70cbc3794fb1e7eaeb9">ExecuteNetworkParams::m_InputTypes</a></div><div class="ttdeci">std::vector< std::string > m_InputTypes</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00044">ExecuteNetworkParams.hpp:44</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a4fa312cf0d60fbd3988a7c76ab8e2980"><div class="ttname"><a href="struct_execute_network_params.xhtml#a4fa312cf0d60fbd3988a7c76ab8e2980">ExecuteNetworkParams::m_ModelPath</a></div><div class="ttdeci">std::string m_ModelPath</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00048">ExecuteNetworkParams.hpp:48</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a85929a48c5e7b16af8f5bc637e45a37f"><div class="ttname"><a href="struct_execute_network_params.xhtml#a85929a48c5e7b16af8f5bc637e45a37f">ExecuteNetworkParams::m_DequantizeOutput</a></div><div class="ttdeci">bool m_DequantizeOutput</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00031">ExecuteNetworkParams.hpp:31</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a441621f00fd5665898c81a5ae3473c6b"><div class="ttname"><a href="namespacearmnn.xhtml#a441621f00fd5665898c81a5ae3473c6b">armnn::GetTimeDuration</a></div><div class="ttdeci">std::chrono::duration< double, std::milli > GetTimeDuration(std::chrono::high_resolution_clock::time_point start_time)</div><div class="ttdef"><b>Definition:</b> <a href="_timer_8hpp_source.xhtml#l00019">Timer.hpp:19</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_ac609a217f4de4c647422dbb358a5f2ef"><div class="ttname"><a href="struct_execute_network_params.xhtml#ac609a217f4de4c647422dbb358a5f2ef">ExecuteNetworkParams::m_MLGOTuningFilePath</a></div><div class="ttdeci">std::string m_MLGOTuningFilePath</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00065">ExecuteNetworkParams.hpp:65</a></div></div>
<div class="ttc" id="classarmnn_1_1experimental_1_1_async_callback_manager_xhtml_a27aff9e4e5d9bce49988a2de6a1ebc59"><div class="ttname"><a href="classarmnn_1_1experimental_1_1_async_callback_manager.xhtml#a27aff9e4e5d9bce49988a2de6a1ebc59">armnn::experimental::AsyncCallbackManager::GetNewCallback</a></div><div class="ttdeci">std::shared_ptr< AsyncExecutionCallback > GetNewCallback()</div><div class="ttdef"><b>Definition:</b> <a href="_async_execution_callback_8cpp_source.xhtml#l00042">AsyncExecutionCallback.cpp:42</a></div></div>
<div class="ttc" id="classarmnn_1_1_optional_xhtml"><div class="ttname"><a href="classarmnn_1_1_optional.xhtml">armnn::Optional</a></div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00270">Optional.hpp:270</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_ac828647e0c753c3727c8c1f81939f7e4"><div class="ttname"><a href="struct_execute_network_params.xhtml#ac828647e0c753c3727c8c1f81939f7e4">ExecuteNetworkParams::m_DontPrintOutputs</a></div><div class="ttdeci">bool m_DontPrintOutputs</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00057">ExecuteNetworkParams.hpp:57</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a091cda9098c6f03f91f477a22327892d"><div class="ttname"><a href="struct_execute_network_params.xhtml#a091cda9098c6f03f91f477a22327892d">ExecuteNetworkParams::m_InputTensorShapes</a></div><div class="ttdeci">std::vector< TensorShapePtr > m_InputTensorShapes</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00043">ExecuteNetworkParams.hpp:43</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#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_ab17deb382179697b4702cc4f909e71f8"><div class="ttname"><a href="struct_execute_network_params.xhtml#ab17deb382179697b4702cc4f909e71f8">ExecuteNetworkParams::m_OutputDetailsOnlyToStdOut</a></div><div class="ttdeci">bool m_OutputDetailsOnlyToStdOut</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00051">ExecuteNetworkParams.hpp:51</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a513151623e8d448951a0b94ad1946fbe"><div class="ttname"><a href="struct_execute_network_params.xhtml#a513151623e8d448951a0b94ad1946fbe">ExecuteNetworkParams::m_EnableFp16TurboMode</a></div><div class="ttdeci">bool m_EnableFp16TurboMode</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00035">ExecuteNetworkParams.hpp:35</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_ae43cf4b5df0068ee6a9151c98947248b"><div class="ttname"><a href="struct_execute_network_params.xhtml#ae43cf4b5df0068ee6a9151c98947248b">ExecuteNetworkParams::m_DynamicBackendsPath</a></div><div class="ttdeci">std::string m_DynamicBackendsPath</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00032">ExecuteNetworkParams.hpp:32</a></div></div>
<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_ae43cf4b5df0068ee6a9151c98947248b"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#ae43cf4b5df0068ee6a9151c98947248b">InferenceModelInternal::Params::m_DynamicBackendsPath</a></div><div class="ttdeci">std::string m_DynamicBackendsPath</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00096">InferenceModel.hpp:96</a></div></div>
<div class="ttc" id="class_inference_model_xhtml"><div class="ttname"><a href="class_inference_model.xhtml">InferenceModel</a></div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00372">InferenceModel.hpp:372</a></div></div>
<div class="ttc" id="classarmnn_1_1_exception_xhtml_abf843cbb29dec939d0731e491bab6f70"><div class="ttname"><a href="classarmnn_1_1_exception.xhtml#abf843cbb29dec939d0731e491bab6f70">armnn::Exception::what</a></div><div class="ttdeci">virtual const char * what() const noexcept override</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8cpp_source.xhtml#l00032">Exceptions.cpp:32</a></div></div>
<div class="ttc" id="_logging_8hpp_xhtml_a7b6ad073975f437ec38ca7d20154727f"><div class="ttname"><a href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a></div><div class="ttdeci">#define ARMNN_LOG(severity)</div><div class="ttdef"><b>Definition:</b> <a href="_logging_8hpp_source.xhtml#l00202">Logging.hpp:202</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div>
<div class="ttc" id="_execute_network_8cpp_xhtml_ab9be7e320a1879b362298cb198250dae"><div class="ttname"><a href="_execute_network_8cpp.xhtml#ab9be7e320a1879b362298cb198250dae">CheckInferenceTimeThreshold</a></div><div class="ttdeci">bool CheckInferenceTimeThreshold(const std::chrono::duration< double, std::milli > &duration, const double &thresholdTime)</div><div class="ttdoc">Given a measured duration and a threshold time tell the user whether we succeeded or not...</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_8cpp_source.xhtml#l00047">ExecuteNetwork.cpp:47</a></div></div>
<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_a513151623e8d448951a0b94ad1946fbe"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#a513151623e8d448951a0b94ad1946fbe">InferenceModelInternal::Params::m_EnableFp16TurboMode</a></div><div class="ttdeci">bool m_EnableFp16TurboMode</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00100">InferenceModel.hpp:100</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a5acc5b4076604db15ee13ee19fa623c4"><div class="ttname"><a href="struct_execute_network_params.xhtml#a5acc5b4076604db15ee13ee19fa623c4">ExecuteNetworkParams::m_PrintIntermediate</a></div><div class="ttdeci">bool m_PrintIntermediate</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00056">ExecuteNetworkParams.hpp:56</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ac895f6f6897ce335b7b433201bae0b48"><div class="ttname"><a href="namespacearmnn.xhtml#ac895f6f6897ce335b7b433201bae0b48">armnn::GetTimeNow</a></div><div class="ttdeci">std::chrono::high_resolution_clock::time_point GetTimeNow()</div><div class="ttdef"><b>Definition:</b> <a href="_timer_8hpp_source.xhtml#l00014">Timer.hpp:14</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_abf3cb45be3828b72b4ac08f87ac6c779"><div class="ttname"><a href="struct_execute_network_params.xhtml#abf3cb45be3828b72b4ac08f87ac6c779">ExecuteNetworkParams::m_Concurrent</a></div><div class="ttdeci">bool m_Concurrent</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00030">ExecuteNetworkParams.hpp:30</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a982d4141ecde3eb220a136610d853df2"><div class="ttname"><a href="struct_execute_network_params.xhtml#a982d4141ecde3eb220a136610d853df2">ExecuteNetworkParams::m_OutputNames</a></div><div class="ttdeci">std::vector< std::string > m_OutputNames</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00052">ExecuteNetworkParams.hpp:52</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors. </div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.xhtml#l00006">01_00_quick_start.dox:6</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a5c7f0c083da98e7b6e9ba79d2fcd985d"><div class="ttname"><a href="struct_execute_network_params.xhtml#a5c7f0c083da98e7b6e9ba79d2fcd985d">ExecuteNetworkParams::m_ParseUnsupported</a></div><div class="ttdeci">bool m_ParseUnsupported</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00055">ExecuteNetworkParams.hpp:55</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a74d346297c55b516908c541030adc88d"><div class="ttname"><a href="struct_execute_network_params.xhtml#a74d346297c55b516908c541030adc88d">ExecuteNetworkParams::m_OutputTensorFiles</a></div><div class="ttdeci">std::vector< std::string > m_OutputTensorFiles</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00053">ExecuteNetworkParams.hpp:53</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a9a04b8c7f19a84f63125edec509b6d53"><div class="ttname"><a href="struct_execute_network_params.xhtml#a9a04b8c7f19a84f63125edec509b6d53">ExecuteNetworkParams::m_SaveCachedNetwork</a></div><div class="ttdeci">bool m_SaveCachedNetwork</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00059">ExecuteNetworkParams.hpp:59</a></div></div>
<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_aaae50a6c0f73e4c210c2e4331c439482"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#aaae50a6c0f73e4c210c2e4331c439482">InferenceModelInternal::Params::m_VisualizePostOptimizationModel</a></div><div class="ttdeci">bool m_VisualizePostOptimizationModel</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00099">InferenceModel.hpp:99</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a7adc5dcfe3d76ac489f253c4d5f439c8"><div class="ttname"><a href="struct_execute_network_params.xhtml#a7adc5dcfe3d76ac489f253c4d5f439c8">ExecuteNetworkParams::m_ThreadPoolSize</a></div><div class="ttdeci">size_t m_ThreadPoolSize</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00067">ExecuteNetworkParams.hpp:67</a></div></div>
<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_a66f9597b152215daba3211379dad63d3"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#a66f9597b152215daba3211379dad63d3">InferenceModelInternal::Params::m_EnableFastMath</a></div><div class="ttdeci">bool m_EnableFastMath</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00105">InferenceModel.hpp:105</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_ae96fc745917a3a0c0de7a818c9a05012"><div class="ttname"><a href="struct_execute_network_params.xhtml#ae96fc745917a3a0c0de7a818c9a05012">ExecuteNetworkParams::m_OutputDetailsToStdOut</a></div><div class="ttdeci">bool m_OutputDetailsToStdOut</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00050">ExecuteNetworkParams.hpp:50</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a9f8881646a38f828f92d3354930c4165"><div class="ttname"><a href="struct_execute_network_params.xhtml#a9f8881646a38f828f92d3354930c4165">ExecuteNetworkParams::m_CachedNetworkFilePath</a></div><div class="ttdeci">std::string m_CachedNetworkFilePath</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00028">ExecuteNetworkParams.hpp:28</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a2d4582aa74998c397bd064ae73745b62"><div class="ttname"><a href="struct_execute_network_params.xhtml#a2d4582aa74998c397bd064ae73745b62">ExecuteNetworkParams::m_SubgraphId</a></div><div class="ttdeci">size_t m_SubgraphId</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00061">ExecuteNetworkParams.hpp:61</a></div></div>
<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_a0b99050baebe1d169392461b3a9be08d"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#a0b99050baebe1d169392461b3a9be08d">InferenceModelInternal::Params::m_EnableBf16TurboMode</a></div><div class="ttdeci">bool m_EnableBf16TurboMode</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00101">InferenceModel.hpp:101</a></div></div>
<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_aad2ac35d4cb83ee4da9fad5fbcb907e0"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#aad2ac35d4cb83ee4da9fad5fbcb907e0">InferenceModelInternal::Params::m_InputBindings</a></div><div class="ttdeci">std::vector< std::string > m_InputBindings</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00092">InferenceModel.hpp:92</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a2d54e6252c1c9a0e29f7706ba03b2b74"><div class="ttname"><a href="struct_execute_network_params.xhtml#a2d54e6252c1c9a0e29f7706ba03b2b74">ExecuteNetworkParams::m_ComputeDevices</a></div><div class="ttdeci">std::vector< armnn::BackendId > m_ComputeDevices</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00029">ExecuteNetworkParams.hpp:29</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a810addfa426b5ac1476035dedee7cda5"><div class="ttname"><a href="struct_execute_network_params.xhtml#a810addfa426b5ac1476035dedee7cda5">ExecuteNetworkParams::m_OutputTypes</a></div><div class="ttdeci">std::vector< std::string > m_OutputTypes</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00054">ExecuteNetworkParams.hpp:54</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a6bf2f586c403977d31c7d32d371918cf"><div class="ttname"><a href="struct_execute_network_params.xhtml#a6bf2f586c403977d31c7d32d371918cf">ExecuteNetworkParams::m_IsModelBinary</a></div><div class="ttdeci">bool m_IsModelBinary</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00045">ExecuteNetworkParams.hpp:45</a></div></div>
<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_ad69aa6b4967ce55ee4a915c52c71bf2e"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#ad69aa6b4967ce55ee4a915c52c71bf2e">InferenceModelInternal::Params::m_InputShapes</a></div><div class="ttdeci">std::vector< armnn::TensorShape > m_InputShapes</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00093">InferenceModel.hpp:93</a></div></div>
<div class="ttc" id="namespacestd_xhtml"><div class="ttname"><a href="namespacestd.xhtml">std</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_id_8hpp_source.xhtml#l00149">BackendId.hpp:149</a></div></div>
<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_a9a04b8c7f19a84f63125edec509b6d53"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#a9a04b8c7f19a84f63125edec509b6d53">InferenceModelInternal::Params::m_SaveCachedNetwork</a></div><div class="ttdeci">bool m_SaveCachedNetwork</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00106">InferenceModel.hpp:106</a></div></div>
<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_a7adc5dcfe3d76ac489f253c4d5f439c8"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#a7adc5dcfe3d76ac489f253c4d5f439c8">InferenceModelInternal::Params::m_ThreadPoolSize</a></div><div class="ttdeci">size_t m_ThreadPoolSize</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00113">InferenceModel.hpp:113</a></div></div>
<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_af5e88d9bb91dff85ad5a6f7e190aff4e"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#af5e88d9bb91dff85ad5a6f7e190aff4e">InferenceModelInternal::Params::m_AsyncEnabled</a></div><div class="ttdeci">bool m_AsyncEnabled</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00112">InferenceModel.hpp:112</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a6e4eff6a5f40cb026ea76d3c13c96341"><div class="ttname"><a href="struct_execute_network_params.xhtml#a6e4eff6a5f40cb026ea76d3c13c96341">ExecuteNetworkParams::m_Iterations</a></div><div class="ttdeci">size_t m_Iterations</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00046">ExecuteNetworkParams.hpp:46</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00035">Types.hpp:35</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a99c7360a4d4b248b3f10607bc5d2fe7b"><div class="ttname"><a href="struct_execute_network_params.xhtml#a99c7360a4d4b248b3f10607bc5d2fe7b">ExecuteNetworkParams::m_GenerateTensorData</a></div><div class="ttdeci">bool m_GenerateTensorData</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00038">ExecuteNetworkParams.hpp:38</a></div></div>
<div class="ttc" id="_network_execution_utils_8cpp_xhtml_afcaa1d8d70f62d28c2cb7779b6155afb"><div class="ttname"><a href="_network_execution_utils_8cpp.xhtml#afcaa1d8d70f62d28c2cb7779b6155afb">PopulateTensorWithData</a></div><div class="ttdeci">void PopulateTensorWithData(armnnUtils::TContainer &tensorData, unsigned int numElements, const std::string &dataTypeStr, const armnn::Optional< QuantizationParams > &qParams, const armnn::Optional< std::string > &dataFile)</div><div class="ttdef"><b>Definition:</b> <a href="_network_execution_utils_8cpp_source.xhtml#l00231">NetworkExecutionUtils.cpp:231</a></div></div>
<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_abeacb4ed1ca9256ee0e8aea73185a0cc"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#abeacb4ed1ca9256ee0e8aea73185a0cc">InferenceModelInternal::Params::m_OutputBindings</a></div><div class="ttdeci">std::vector< std::string > m_OutputBindings</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00094">InferenceModel.hpp:94</a></div></div>
<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_a2d54e6252c1c9a0e29f7706ba03b2b74"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#a2d54e6252c1c9a0e29f7706ba03b2b74">InferenceModelInternal::Params::m_ComputeDevices</a></div><div class="ttdeci">std::vector< armnn::BackendId > m_ComputeDevices</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00095">InferenceModel.hpp:95</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="struct_execute_network_params_xhtml_adc650e032e7fce99f15e2bf903e7167b"><div class="ttname"><a href="struct_execute_network_params.xhtml#adc650e032e7fce99f15e2bf903e7167b">ExecuteNetworkParams::m_NumberOfThreads</a></div><div class="ttdeci">unsigned int m_NumberOfThreads</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00049">ExecuteNetworkParams.hpp:49</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a318999172ae5197f56326b12d29104b7"><div class="ttname"><a href="struct_execute_network_params.xhtml#a318999172ae5197f56326b12d29104b7">ExecuteNetworkParams::m_ThresholdTime</a></div><div class="ttdeci">double m_ThresholdTime</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00062">ExecuteNetworkParams.hpp:62</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_aaf3c7f286030842a31025309ab6a8329"><div class="ttname"><a href="struct_execute_network_params.xhtml#aaf3c7f286030842a31025309ab6a8329">ExecuteNetworkParams::m_InputNames</a></div><div class="ttdeci">std::vector< std::string > m_InputNames</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00041">ExecuteNetworkParams.hpp:41</a></div></div>
<div class="ttc" id="classarmnn_1_1experimental_1_1_i_working_mem_handle_xhtml"><div class="ttname"><a href="classarmnn_1_1experimental_1_1_i_working_mem_handle.xhtml">armnn::experimental::IWorkingMemHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_working_mem_handle_8hpp_source.xhtml#l00018">IWorkingMemHandle.hpp:18</a></div></div>
<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_a5c7f0c083da98e7b6e9ba79d2fcd985d"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#a5c7f0c083da98e7b6e9ba79d2fcd985d">InferenceModelInternal::Params::m_ParseUnsupported</a></div><div class="ttdeci">bool m_ParseUnsupported</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00103">InferenceModel.hpp:103</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a66f9597b152215daba3211379dad63d3"><div class="ttname"><a href="struct_execute_network_params.xhtml#a66f9597b152215daba3211379dad63d3">ExecuteNetworkParams::m_EnableFastMath</a></div><div class="ttdeci">bool m_EnableFastMath</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00034">ExecuteNetworkParams.hpp:34</a></div></div>
<div class="ttc" id="namespacestd_1_1chrono_xhtml"><div class="ttname"><a href="namespacestd_1_1chrono.xhtml">chrono</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a0b99050baebe1d169392461b3a9be08d"><div class="ttname"><a href="struct_execute_network_params.xhtml#a0b99050baebe1d169392461b3a9be08d">ExecuteNetworkParams::m_EnableBf16TurboMode</a></div><div class="ttdeci">bool m_EnableBf16TurboMode</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00033">ExecuteNetworkParams.hpp:33</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_ae3c3ae097395afea488cd3e0244269fa"><div class="ttname"><a href="struct_execute_network_params.xhtml#ae3c3ae097395afea488cd3e0244269fa">ExecuteNetworkParams::m_InputTensorDataFilePaths</a></div><div class="ttdeci">std::vector< std::string > m_InputTensorDataFilePaths</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00042">ExecuteNetworkParams.hpp:42</a></div></div>
<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_a2a245a63e87f363df491ad8c35be54c5"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#a2a245a63e87f363df491ad8c35be54c5">InferenceModelInternal::Params::m_InferOutputShape</a></div><div class="ttdeci">bool m_InferOutputShape</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00104">InferenceModel.hpp:104</a></div></div>
<div class="ttc" id="structarmnn_1_1_empty_optional_xhtml"><div class="ttname"><a href="structarmnn_1_1_empty_optional.xhtml">armnn::EmptyOptional</a></div><div class="ttdoc">EmptyOptional is used to initialize the Optional class in case we want to have default value for an O...</div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00032">Optional.hpp:32</a></div></div>
<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_acde2af8cbbd224a9f94e509ca538a775"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#acde2af8cbbd224a9f94e509ca538a775">InferenceModelInternal::Params::m_PrintIntermediateLayers</a></div><div class="ttdeci">bool m_PrintIntermediateLayers</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00102">InferenceModel.hpp:102</a></div></div>
<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_a9f8881646a38f828f92d3354930c4165"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#a9f8881646a38f828f92d3354930c4165">InferenceModelInternal::Params::m_CachedNetworkFilePath</a></div><div class="ttdeci">std::string m_CachedNetworkFilePath</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00109">InferenceModel.hpp:109</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a7efc68309e76bfefbfa16fe94501b060"><div class="ttname"><a href="struct_execute_network_params.xhtml#a7efc68309e76bfefbfa16fe94501b060">ExecuteNetworkParams::m_EnableLayerDetails</a></div><div class="ttdeci">bool m_EnableLayerDetails</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00036">ExecuteNetworkParams.hpp:36</a></div></div>
<div class="ttc" id="classarmnn_1_1_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_exception.xhtml">armnn::Exception</a></div><div class="ttdoc">Base class for all ArmNN exceptions so that users can filter to just those. </div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00046">Exceptions.hpp:46</a></div></div>
<div class="ttc" id="namespacearmnn_utils_xhtml_ac7bd4ea667375c07718086368507ed44"><div class="ttname"><a href="namespacearmnn_utils.xhtml#ac7bd4ea667375c07718086368507ed44">armnnUtils::TContainer</a></div><div class="ttdeci">mapbox::util::variant< std::vector< float >, std::vector< int >, std::vector< unsigned char >, std::vector< int8_t > > TContainer</div><div class="ttdef"><b>Definition:</b> <a href="_t_container_8hpp_source.xhtml#l00018">TContainer.hpp:18</a></div></div>
<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_ae96fc745917a3a0c0de7a818c9a05012"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#ae96fc745917a3a0c0de7a818c9a05012">InferenceModelInternal::Params::m_OutputDetailsToStdOut</a></div><div class="ttdeci">bool m_OutputDetailsToStdOut</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00107">InferenceModel.hpp:107</a></div></div>
<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_ac609a217f4de4c647422dbb358a5f2ef"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#ac609a217f4de4c647422dbb358a5f2ef">InferenceModelInternal::Params::m_MLGOTuningFilePath</a></div><div class="ttdeci">std::string m_MLGOTuningFilePath</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00111">InferenceModel.hpp:111</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a77780137c47f528921f6537447060f05"><div class="ttname"><a href="namespacearmnn.xhtml#a77780137c47f528921f6537447060f05">armnn::MakeOptional</a></div><div class="ttdeci">Optional< T > MakeOptional(Args &&... args)</div><div class="ttdoc">Utility template that constructs an object of type T in-place and wraps it inside an Optional<T> obje...</div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00305">Optional.hpp:305</a></div></div>
<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_adc650e032e7fce99f15e2bf903e7167b"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#adc650e032e7fce99f15e2bf903e7167b">InferenceModelInternal::Params::m_NumberOfThreads</a></div><div class="ttdeci">unsigned int m_NumberOfThreads</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00110">InferenceModel.hpp:110</a></div></div>
<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_ab17deb382179697b4702cc4f909e71f8"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#ab17deb382179697b4702cc4f909e71f8">InferenceModelInternal::Params::m_OutputDetailsOnlyToStdOut</a></div><div class="ttdeci">bool m_OutputDetailsOnlyToStdOut</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00108">InferenceModel.hpp:108</a></div></div>
<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_a4fa312cf0d60fbd3988a7c76ab8e2980"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#a4fa312cf0d60fbd3988a7c76ab8e2980">InferenceModelInternal::Params::m_ModelPath</a></div><div class="ttdeci">std::string m_ModelPath</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00091">InferenceModel.hpp:91</a></div></div>
<div class="ttc" id="classarmnn_1_1experimental_1_1_async_callback_manager_xhtml"><div class="ttname"><a href="classarmnn_1_1experimental_1_1_async_callback_manager.xhtml">armnn::experimental::AsyncCallbackManager</a></div><div class="ttdef"><b>Definition:</b> <a href="_async_execution_callback_8hpp_source.xhtml#l00069">AsyncExecutionCallback.hpp:69</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="struct_inference_model_internal_1_1_params_xhtml_a6bf2f586c403977d31c7d32d371918cf"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#a6bf2f586c403977d31c7d32d371918cf">InferenceModelInternal::Params::m_IsModelBinary</a></div><div class="ttdeci">bool m_IsModelBinary</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00098">InferenceModel.hpp:98</a></div></div>
<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_a2d4582aa74998c397bd064ae73745b62"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#a2d4582aa74998c397bd064ae73745b62">InferenceModelInternal::Params::m_SubgraphId</a></div><div class="ttdeci">size_t m_SubgraphId</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00097">InferenceModel.hpp:97</a></div></div>
<div class="ttc" id="struct_tensor_printer_xhtml"><div class="ttname"><a href="struct_tensor_printer.xhtml">TensorPrinter</a></div><div class="ttdef"><b>Definition:</b> <a href="_network_execution_utils_8hpp_source.xhtml#l00023">NetworkExecutionUtils.hpp:23</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a077f6963fc555d9d42f98cf9ed3e7e03"><div class="ttname"><a href="struct_execute_network_params.xhtml#a077f6963fc555d9d42f98cf9ed3e7e03">ExecuteNetworkParams::m_QuantizeInput</a></div><div class="ttdeci">bool m_QuantizeInput</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00058">ExecuteNetworkParams.hpp:58</a></div></div>
<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml">InferenceModelInternal::Params</a></div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00089">InferenceModel.hpp:89</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a2a245a63e87f363df491ad8c35be54c5"><div class="ttname"><a href="struct_execute_network_params.xhtml#a2a245a63e87f363df491ad8c35be54c5">ExecuteNetworkParams::m_InferOutputShape</a></div><div class="ttdeci">bool m_InferOutputShape</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00039">ExecuteNetworkParams.hpp:39</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a26d42007440bb01a1a6d0ab3b5a657ee"><div class="ttname"><a href="struct_execute_network_params.xhtml#a26d42007440bb01a1a6d0ab3b5a657ee">ExecuteNetworkParams::m_EnableProfiling</a></div><div class="ttdeci">bool m_EnableProfiling</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00037">ExecuteNetworkParams.hpp:37</a></div></div>
<div class="ttc" id="classarmnn_1_1experimental_1_1_async_callback_manager_xhtml_a9ee5b1dd7d3a6f619d2ed3d97d75d9b1"><div class="ttname"><a href="classarmnn_1_1experimental_1_1_async_callback_manager.xhtml#a9ee5b1dd7d3a6f619d2ed3d97d75d9b1">armnn::experimental::AsyncCallbackManager::GetNotifiedCallback</a></div><div class="ttdeci">std::shared_ptr< AsyncExecutionCallback > GetNotifiedCallback()</div><div class="ttdef"><b>Definition:</b> <a href="_async_execution_callback_8cpp_source.xhtml#l00051">AsyncExecutionCallback.cpp:51</a></div></div>
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