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<div class="title">ArmNNExecutor Class Reference</div> </div>
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<p><code>#include <<a class="el" href="_arm_n_n_executor_8hpp_source.xhtml">ArmNNExecutor.hpp</a>></code></p>
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Inheritance diagram for ArmNNExecutor:</div>
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Public Member Functions</h2></td></tr>
<tr class="memitem:aa9bcc5837a0ef0e503f56d634b1e7184"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="class_arm_n_n_executor.xhtml#aa9bcc5837a0ef0e503f56d634b1e7184">ArmNNExecutor</a> (const <a class="el" href="struct_execute_network_params.xhtml">ExecuteNetworkParams</a> &params, <a class="el" href="structarmnn_1_1_i_runtime_1_1_creation_options.xhtml">armnn::IRuntime::CreationOptions</a> runtimeOptions)</td></tr>
<tr class="separator:aa9bcc5837a0ef0e503f56d634b1e7184"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a7b274ddaba15738d696359ad327a88ca"><td class="memItemLeft" align="right" valign="top">std::vector< const void *> </td><td class="memItemRight" valign="bottom"><a class="el" href="class_arm_n_n_executor.xhtml#a7b274ddaba15738d696359ad327a88ca">Execute</a> () override</td></tr>
<tr class="memdesc:a7b274ddaba15738d696359ad327a88ca"><td class="mdescLeft"> </td><td class="mdescRight">Execute the given network. <a href="#a7b274ddaba15738d696359ad327a88ca">More...</a><br /></td></tr>
<tr class="separator:a7b274ddaba15738d696359ad327a88ca"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a21887e76c6b67797ada411a163d81a62"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="class_arm_n_n_executor.xhtml#a21887e76c6b67797ada411a163d81a62">PrintNetworkInfo</a> () override</td></tr>
<tr class="memdesc:a21887e76c6b67797ada411a163d81a62"><td class="mdescLeft"> </td><td class="mdescRight">Print available information about the network. <a href="#a21887e76c6b67797ada411a163d81a62">More...</a><br /></td></tr>
<tr class="separator:a21887e76c6b67797ada411a163d81a62"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ac65a3d900d923c4582e059c2281e70e3"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="class_arm_n_n_executor.xhtml#ac65a3d900d923c4582e059c2281e70e3">CompareAndPrintResult</a> (std::vector< const void *> otherOutput) override</td></tr>
<tr class="memdesc:ac65a3d900d923c4582e059c2281e70e3"><td class="mdescLeft"> </td><td class="mdescRight">Compare the output with the result of another <a class="el" href="class_i_executor.xhtml" title="IExecutor executes a network. ">IExecutor</a>. <a href="#ac65a3d900d923c4582e059c2281e70e3">More...</a><br /></td></tr>
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<tr class="inherit_header pub_methods_class_i_executor"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_class_i_executor')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="class_i_executor.xhtml">IExecutor</a></td></tr>
<tr class="memitem:a35ce388d080edd9b1fc52dd91cf80deb inherit pub_methods_class_i_executor"><td class="memItemLeft" align="right" valign="top">virtual </td><td class="memItemRight" valign="bottom"><a class="el" href="class_i_executor.xhtml#a35ce388d080edd9b1fc52dd91cf80deb">~IExecutor</a> ()</td></tr>
<tr class="separator:a35ce388d080edd9b1fc52dd91cf80deb inherit pub_methods_class_i_executor"><td class="memSeparator" colspan="2"> </td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
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<p class="definition">Definition at line <a class="el" href="_arm_n_n_executor_8hpp_source.xhtml#l00037">37</a> of file <a class="el" href="_arm_n_n_executor_8hpp_source.xhtml">ArmNNExecutor.hpp</a>.</p>
</div><h2 class="groupheader">Constructor & Destructor Documentation</h2>
<a id="aa9bcc5837a0ef0e503f56d634b1e7184"></a>
<h2 class="memtitle"><span class="permalink"><a href="#aa9bcc5837a0ef0e503f56d634b1e7184">◆ </a></span>ArmNNExecutor()</h2>
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<td class="memname"><a class="el" href="class_arm_n_n_executor.xhtml">ArmNNExecutor</a> </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"><a class="el" href="structarmnn_1_1_i_runtime_1_1_creation_options.xhtml">armnn::IRuntime::CreationOptions</a> </td>
<td class="paramname"><em>runtimeOptions</em> </td>
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<td>)</td>
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<p class="definition">Definition at line <a class="el" href="_arm_n_n_executor_8cpp_source.xhtml#l00017">17</a> of file <a class="el" href="_arm_n_n_executor_8cpp_source.xhtml">ArmNNExecutor.cpp</a>.</p>
<p class="reference">References <a class="el" href="_logging_8hpp_source.xhtml#l00205">ARMNN_LOG</a>, <a class="el" href="_network_execution_utils_8cpp_source.xhtml#l00017">CheckInferenceTimeThreshold()</a>, <a class="el" href="_runtime_8cpp_source.xhtml#l00049">IRuntime::Create()</a>, <a class="el" href="namespacearmnn.xhtml#ae060224135f57f926cbda9d2732a2b1fa566666dfc3a9a82da0d7b0816b19f278">armnn::DetailsOnly</a>, <a class="el" href="namespacearmnn.xhtml#ae060224135f57f926cbda9d2732a2b1fa497ab261a562e316736c2cb59b839d32">armnn::DetailsWithEvents</a>, <a class="el" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70bae139a585510a502bbf1841cf589f5086">armnn::Failure</a>, <a class="el" href="_async_execution_callback_8cpp_source.xhtml#l00046">AsyncCallbackManager::GetNewCallback()</a>, <a class="el" href="_async_execution_callback_8cpp_source.xhtml#l00060">AsyncCallbackManager::GetNotifiedCallback()</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="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00029">ExecuteNetworkParams::m_Concurrent</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00053">ExecuteNetworkParams::m_DontPrintOutputs</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00031">ExecuteNetworkParams::m_DynamicBackendsPath</a>, <a class="el" href="_i_runtime_8hpp_source.xhtml#l00098">IRuntime::CreationOptions::m_DynamicBackendsPath</a>, <a class="el" href="_i_runtime_8hpp_source.xhtml#l00093">IRuntime::CreationOptions::m_EnableGpuProfiling</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00036">ExecuteNetworkParams::m_EnableProfiling</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00037">ExecuteNetworkParams::m_GenerateTensorData</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00063">ExecuteNetworkParams::m_ImportInputsIfAligned</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00044">ExecuteNetworkParams::m_Iterations</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00048">ExecuteNetworkParams::m_OutputDetailsOnlyToStdOut</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00047">ExecuteNetworkParams::m_OutputDetailsToStdOut</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00062">ExecuteNetworkParams::m_ThreadPoolSize</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00057">ExecuteNetworkParams::m_ThresholdTime</a>, <a class="el" href="namespacearmnn.xhtml#a8e72227ebe5ac505cf44790f2e6eb488a87f8a6ab85c9ced3702b4ea641ad4bb5">armnn::Medium</a>, and <a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407a7b83d3f08fa392b79e3f553b585971cd">armnn::warning</a>.</p>
<div class="fragment"><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> : m_Params(params)</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> {</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  runtimeOptions.<a class="code" href="structarmnn_1_1_i_runtime_1_1_creation_options.xhtml#a2fe8c3eadf4f4f9c0c664a24a2a298f9">m_EnableGpuProfiling</a> = params.<a class="code" href="struct_execute_network_params.xhtml#a26d42007440bb01a1a6d0ab3b5a657ee">m_EnableProfiling</a>;</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  runtimeOptions.<a class="code" href="structarmnn_1_1_i_runtime_1_1_creation_options.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="l00022"></a><span class="lineno"> 22</span>  m_Runtime = <a class="code" href="classarmnn_1_1_i_runtime.xhtml#ad44ecd3700748dc30dc4bbe34ba5bde7">armnn::IRuntime::Create</a>(runtimeOptions);</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> </div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <span class="keyword">auto</span> parser = CreateParser();</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <span class="keyword">auto</span> network = parser->CreateNetwork(m_Params);</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  <span class="keyword">auto</span> optNet = OptimizeNetwork(network.get());</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> </div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  m_IOInfo = GetIOInfo(optNet.get());</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  SetupInputsAndOutputs();</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> </div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  std::string errorMsg;</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> </div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <a class="code" href="namespacearmnn.xhtml#ae060224135f57f926cbda9d2732a2b1f">armnn::ProfilingDetailsMethod</a> profilingDetailsMethod = ProfilingDetailsMethod::Undefined;</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <span class="keywordflow">if</span> (params.<a class="code" href="struct_execute_network_params.xhtml#ab17deb382179697b4702cc4f909e71f8">m_OutputDetailsOnlyToStdOut</a>)</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  {</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  profilingDetailsMethod = <a class="code" href="namespacearmnn.xhtml#ae060224135f57f926cbda9d2732a2b1fa566666dfc3a9a82da0d7b0816b19f278">armnn::ProfilingDetailsMethod::DetailsOnly</a>;</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  }</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (params.<a class="code" href="struct_execute_network_params.xhtml#ae96fc745917a3a0c0de7a818c9a05012">m_OutputDetailsToStdOut</a>)</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  {</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  profilingDetailsMethod = <a class="code" href="namespacearmnn.xhtml#ae060224135f57f926cbda9d2732a2b1fa497ab261a562e316736c2cb59b839d32">armnn::ProfilingDetailsMethod::DetailsWithEvents</a>;</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  }</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> </div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <a class="code" href="structarmnn_1_1_i_network_properties.xhtml">INetworkProperties</a> networkProperties{m_Params.<a class="code" href="struct_execute_network_params.xhtml#abf3cb45be3828b72b4ac08f87ac6c779">m_Concurrent</a>,</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  MemorySource::Undefined,</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  MemorySource::Undefined,</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  params.<a class="code" href="struct_execute_network_params.xhtml#a26d42007440bb01a1a6d0ab3b5a657ee">m_EnableProfiling</a>,</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  profilingDetailsMethod};</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> </div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  m_Runtime->LoadNetwork(m_NetworkId, std::move(optNet), errorMsg, networkProperties);</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> </div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keywordflow">if</span> (m_Params.<a class="code" href="struct_execute_network_params.xhtml#a6e4eff6a5f40cb026ea76d3c13c96341">m_Iterations</a> > 1)</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  {</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  std::stringstream msg;</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  msg << <span class="stringliteral">"Network will be executed "</span> << m_Params.<a class="code" href="struct_execute_network_params.xhtml#a6e4eff6a5f40cb026ea76d3c13c96341">m_Iterations</a>;</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keywordflow">if</span> (m_Params.<a class="code" href="struct_execute_network_params.xhtml#abf3cb45be3828b72b4ac08f87ac6c779">m_Concurrent</a>)</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  {</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  msg << <span class="stringliteral">" times in an asynchronous manner. "</span>;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  }</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  {</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  msg << <span class="stringliteral">" times successively. "</span>;</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  }</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</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="l00064"></a><span class="lineno"> 64</span>  <span class="stringliteral">"cover each execution."</span>;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(info) << msg.str();</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> </div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keywordflow">if</span> (m_Params.<a class="code" href="struct_execute_network_params.xhtml#a99c7360a4d4b248b3f10607bc5d2fe7b">m_GenerateTensorData</a>)</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  {</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</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="l00071"></a><span class="lineno"> 71</span>  }</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> </div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keywordflow">if</span> (m_Params.<a class="code" href="struct_execute_network_params.xhtml#ac828647e0c753c3727c8c1f81939f7e4">m_DontPrintOutputs</a>)</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  {</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</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="l00076"></a><span class="lineno"> 76</span>  }</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> }</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#l00049">Runtime.cpp:49</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#l00053">ExecuteNetworkParams.hpp:53</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#l00048">ExecuteNetworkParams.hpp:48</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#l00031">ExecuteNetworkParams.hpp:31</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ae060224135f57f926cbda9d2732a2b1fa566666dfc3a9a82da0d7b0816b19f278"><div class="ttname"><a href="namespacearmnn.xhtml#ae060224135f57f926cbda9d2732a2b1fa566666dfc3a9a82da0d7b0816b19f278">armnn::ProfilingDetailsMethod::DetailsOnly</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#l00205">Logging.hpp:205</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#l00029">ExecuteNetworkParams.hpp:29</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#l00047">ExecuteNetworkParams.hpp:47</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ae060224135f57f926cbda9d2732a2b1f"><div class="ttname"><a href="namespacearmnn.xhtml#ae060224135f57f926cbda9d2732a2b1f">armnn::ProfilingDetailsMethod</a></div><div class="ttdeci">ProfilingDetailsMethod</div><div class="ttdoc">Define the behaviour of the internal profiler when outputting network details. </div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00071">Types.hpp:71</a></div></div>
<div class="ttc" id="structarmnn_1_1_i_network_properties_xhtml"><div class="ttname"><a href="structarmnn_1_1_i_network_properties.xhtml">armnn::INetworkProperties</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.xhtml#l00035">IRuntime.hpp:35</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ae060224135f57f926cbda9d2732a2b1fa497ab261a562e316736c2cb59b839d32"><div class="ttname"><a href="namespacearmnn.xhtml#ae060224135f57f926cbda9d2732a2b1fa497ab261a562e316736c2cb59b839d32">armnn::ProfilingDetailsMethod::DetailsWithEvents</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#l00044">ExecuteNetworkParams.hpp:44</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#l00037">ExecuteNetworkParams.hpp:37</a></div></div>
<div class="ttc" id="structarmnn_1_1_i_runtime_1_1_creation_options_xhtml_ae43cf4b5df0068ee6a9151c98947248b"><div class="ttname"><a href="structarmnn_1_1_i_runtime_1_1_creation_options.xhtml#ae43cf4b5df0068ee6a9151c98947248b">armnn::IRuntime::CreationOptions::m_DynamicBackendsPath</a></div><div class="ttdeci">std::string m_DynamicBackendsPath</div><div class="ttdoc">Setting this value will override the paths set by the DYNAMIC_BACKEND_PATHS compiler directive Only a...</div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.xhtml#l00098">IRuntime.hpp:98</a></div></div>
<div class="ttc" id="structarmnn_1_1_i_runtime_1_1_creation_options_xhtml_a2fe8c3eadf4f4f9c0c664a24a2a298f9"><div class="ttname"><a href="structarmnn_1_1_i_runtime_1_1_creation_options.xhtml#a2fe8c3eadf4f4f9c0c664a24a2a298f9">armnn::IRuntime::CreationOptions::m_EnableGpuProfiling</a></div><div class="ttdeci">bool m_EnableGpuProfiling</div><div class="ttdoc">Setting this flag will allow the user to obtain GPU profiling information from the runtime...</div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.xhtml#l00093">IRuntime.hpp:93</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#l00036">ExecuteNetworkParams.hpp:36</a></div></div>
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<h2 class="groupheader">Member Function Documentation</h2>
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<h2 class="memtitle"><span class="permalink"><a href="#ac65a3d900d923c4582e059c2281e70e3">◆ </a></span>CompareAndPrintResult()</h2>
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<td class="memname">void CompareAndPrintResult </td>
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<p>Compare the output with the result of another <a class="el" href="class_i_executor.xhtml" title="IExecutor executes a network. ">IExecutor</a>. </p>
<p>Implements <a class="el" href="class_i_executor.xhtml#aa5ca9ff9e89dbc47623206d4e7b98376">IExecutor</a>.</p>
<p class="definition">Definition at line <a class="el" href="_arm_n_n_executor_8cpp_source.xhtml#l00671">671</a> of file <a class="el" href="_arm_n_n_executor_8cpp_source.xhtml">ArmNNExecutor.cpp</a>.</p>
<p class="reference">References <a class="el" href="_onnx_parser_8cpp_source.xhtml#l00038">IOnnxParser::Create()</a>, <a class="el" href="_deserializer_8cpp_source.xhtml#l00047">IDeserializer::Create()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l00063">ITfLiteParser::Create()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_network_execution_utils_8cpp_source.xhtml#l00075">LogAndThrow()</a>, <a class="el" href="_i_deserializer_8hpp_source.xhtml#l00020">BindingPointInfo::m_BindingId</a>, <a class="el" href="_i_tf_lite_parser_8hpp_source.xhtml#l00038">ITfLiteParser::TfLiteParserOptions::m_InferAndValidate</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00038">ExecuteNetworkParams::m_InferOutputShape</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#l00043">ExecuteNetworkParams::m_InputTensorShapes</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00040">ExecuteNetworkParams::m_IsModelBinary</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00045">ExecuteNetworkParams::m_ModelPath</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00051">ExecuteNetworkParams::m_ParseUnsupported</a>, <a class="el" href="_i_tf_lite_parser_8hpp_source.xhtml#l00037">ITfLiteParser::TfLiteParserOptions::m_StandInLayerForUnsupported</a>, <a class="el" href="_i_deserializer_8hpp_source.xhtml#l00021">BindingPointInfo::m_TensorInfo</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="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::QSymmS8</a>.</p>
<div class="fragment"><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="keywordtype">unsigned</span> <span class="keywordtype">int</span> index = 0;</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>  <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>& outputTensors: m_OutputTensorsVec)</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>  <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>& outputTensor: outputTensors)</div><div class="line"><a name="l00678"></a><span class="lineno"> 678</span>  {</div><div class="line"><a name="l00679"></a><span class="lineno"> 679</span>  <span class="keywordtype">float</span> result = 0;</div><div class="line"><a name="l00680"></a><span class="lineno"> 680</span>  <span class="keywordtype">size_t</span> size = outputTensor.second.GetNumBytes();</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">switch</span> (outputTensor.second.GetDataType())</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>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>:</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>  result = ComputeRMSE<float>(outputTensor.second.GetMemoryArea(), otherOutput[index++], size);</div><div class="line"><a name="l00687"></a><span class="lineno"> 687</span>  <span class="keywordflow">break</span>;</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>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>:</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>  result = ComputeRMSE<int16_t>(outputTensor.second.GetMemoryArea(), otherOutput[index++], size);</div><div class="line"><a name="l00692"></a><span class="lineno"> 692</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00693"></a><span class="lineno"> 693</span>  }</div><div class="line"><a name="l00694"></a><span class="lineno"> 694</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::DataType::QSymmS8</a>:</div><div class="line"><a name="l00695"></a><span class="lineno"> 695</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>:</div><div class="line"><a name="l00696"></a><span class="lineno"> 696</span>  {</div><div class="line"><a name="l00697"></a><span class="lineno"> 697</span>  result = ComputeRMSE<int8_t>(outputTensor.second.GetMemoryArea(), otherOutput[index++], size);</div><div class="line"><a name="l00698"></a><span class="lineno"> 698</span>  <span class="keywordflow">break</span>;</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="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>:</div><div class="line"><a name="l00701"></a><span class="lineno"> 701</span>  {</div><div class="line"><a name="l00702"></a><span class="lineno"> 702</span>  result = ComputeRMSE<uint8_t>(outputTensor.second.GetMemoryArea(), otherOutput[index++], size);</div><div class="line"><a name="l00703"></a><span class="lineno"> 703</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00704"></a><span class="lineno"> 704</span>  }</div><div class="line"><a name="l00705"></a><span class="lineno"> 705</span>  <span class="keywordflow">default</span>:</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>  <a class="code" href="_network_execution_utils_8cpp.xhtml#a0d853d3a7b138f39cc775c26e2c0821a">LogAndThrow</a>(<span class="stringliteral">"Unexpected DataType"</span>);</div><div class="line"><a name="l00708"></a><span class="lineno"> 708</span>  }</div><div class="line"><a name="l00709"></a><span class="lineno"> 709</span>  }</div><div class="line"><a name="l00710"></a><span class="lineno"> 710</span>  std::cout << <span class="stringliteral">"RMSE: of "</span> << result << <span class="stringliteral">"\n"</span>;</div><div class="line"><a name="l00711"></a><span class="lineno"> 711</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="ttc" id="_network_execution_utils_8cpp_xhtml_a0d853d3a7b138f39cc775c26e2c0821a"><div class="ttname"><a href="_network_execution_utils_8cpp.xhtml#a0d853d3a7b138f39cc775c26e2c0821a">LogAndThrow</a></div><div class="ttdeci">void LogAndThrow(std::string eMsg)</div><div class="ttdef"><b>Definition:</b> <a href="_network_execution_utils_8cpp_source.xhtml#l00075">NetworkExecutionUtils.cpp:75</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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#a7b274ddaba15738d696359ad327a88ca">◆ </a></span>Execute()</h2>
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<td class="memname">std::vector< const void * > Execute </td>
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<p>Execute the given network. </p>
<dl class="section return"><dt>Returns</dt><dd>std::vector<const void*> A type erased vector of the outputs, that can be compared with the output of another <a class="el" href="class_i_executor.xhtml" title="IExecutor executes a network. ">IExecutor</a> </dd></dl>
<p>Implements <a class="el" href="class_i_executor.xhtml#ab11f3f9cae37ecd9f9760d5ea82f47b3">IExecutor</a>.</p>
<p class="definition">Definition at line <a class="el" href="_arm_n_n_executor_8cpp_source.xhtml#l00198">198</a> of file <a class="el" href="_arm_n_n_executor_8cpp_source.xhtml">ArmNNExecutor.cpp</a>.</p>
<p class="reference">References <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00062">ExecuteNetworkParams::m_ThreadPoolSize</a>.</p>
<div class="fragment"><div class="line"><a name="l00199"></a><span class="lineno"> 199</span> {</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="keywordflow">if</span>(m_Params.<a class="code" href="struct_execute_network_params.xhtml#a7adc5dcfe3d76ac489f253c4d5f439c8">m_ThreadPoolSize</a> == 0)</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  {</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  ExecuteSync();</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  }</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  {</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  ExecuteAsync();</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  }</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  std::vector<const void*> results;</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>& output : m_OutputStorage)</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  {</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  results.push_back(output.m_Mem);</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  }</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span> </div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <span class="keywordflow">return</span> results;</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span> }</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#l00062">ExecuteNetworkParams.hpp:62</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#a21887e76c6b67797ada411a163d81a62">◆ </a></span>PrintNetworkInfo()</h2>
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<td class="memname">void PrintNetworkInfo </td>
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<p>Print available information about the network. </p>
<p>Implements <a class="el" href="class_i_executor.xhtml#a225e907393c46b20bbed09e1a6a48e6d">IExecutor</a>.</p>
<p class="definition">Definition at line <a class="el" href="_arm_n_n_executor_8cpp_source.xhtml#l00217">217</a> of file <a class="el" href="_arm_n_n_executor_8cpp_source.xhtml">ArmNNExecutor.cpp</a>.</p>
<p class="reference">References <a class="el" href="_logging_8hpp_source.xhtml#l00205">ARMNN_LOG</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::Boolean</a>, <a class="el" href="_network_8cpp_source.xhtml#l02956">IOptimizedNetwork::ExecuteStrategy()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="classarmnn_1_1_i_input_slot.xhtml#a81fbf6103761e55061b62ba989b00f10">IInputSlot::GetConnection()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00198">TensorInfo::GetDataType()</a>, <a class="el" href="_types_utils_8hpp_source.xhtml#l00202">armnn::GetDataTypeName()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">IConnectableLayer::GetInputSlot()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00427">TensorInfo::GetNumBytes()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00196">TensorInfo::GetNumElements()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">IConnectableLayer::GetOutputSlot()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00478">TensorInfo::GetQuantizationOffset()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00461">TensorInfo::GetQuantizationScale()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00191">TensorInfo::GetShape()</a>, <a class="el" href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">IOutputSlot::GetTensorInfo()</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="classarmnn_1_1_i_connectable_layer.xhtml#adceb04ae84c524e4d01881e3754a4d59">IConnectableLayer::GetType()</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.xhtml#adf57837d00e8352d9b5cc5ab1fb5fee9a5dd7c525cb1500a2181fd4cc079d7acb">armnn::InferAndValidate</a>, <a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::Input</a>, <a class="el" href="_network_execution_utils_8cpp_source.xhtml#l00075">LogAndThrow()</a>, <a class="el" href="_i_network_8hpp_source.xhtml#l00211">OptimizerOptions::m_Debug</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00037">ExecuteNetworkParams::m_GenerateTensorData</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00063">ExecuteNetworkParams::m_ImportInputsIfAligned</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#l00044">ExecuteNetworkParams::m_Iterations</a>, <a class="el" href="_i_network_8hpp_source.xhtml#l00227">OptimizerOptions::m_ModelOptions</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00050">ExecuteNetworkParams::m_OutputTensorFiles</a>, <a class="el" href="_i_network_8hpp_source.xhtml#l00230">OptimizerOptions::m_ProfilingEnabled</a>, <a class="el" href="_i_network_8hpp_source.xhtml#l00218">OptimizerOptions::m_ReduceFp32ToBf16</a>, <a class="el" href="_i_network_8hpp_source.xhtml#l00208">OptimizerOptions::m_ReduceFp32ToFp16</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00064">ExecuteNetworkParams::m_ReuseBuffers</a>, <a class="el" href="_i_network_8hpp_source.xhtml#l00221">OptimizerOptions::m_shapeInferenceMethod</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00062">ExecuteNetworkParams::m_ThreadPoolSize</a>, <a class="el" href="namespacearmnn.xhtml#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">armnn::Malloc</a>, <a class="el" href="_network_8cpp_source.xhtml#l01864">armnn::Optimize()</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::Output</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="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::QSymmS8</a>, <a class="el" href="_network_8cpp_source.xhtml#l00509">IOptimizedNetwork::SerializeToDot()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6ae1b3c9c6087a93b07c83e0b04f377a8d">armnn::Signed64</a>, and <a class="el" href="namespacearmnn.xhtml#adf57837d00e8352d9b5cc5ab1fb5fee9af6486a22a9bb11959bfae60a3e5174b1">armnn::ValidateOnly</a>.</p>
<div class="fragment"><div class="line"><a name="l00218"></a><span class="lineno"> 218</span> {</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <span class="keyword">const</span> std::vector<std::string>& inputNames = m_Params.<a class="code" href="struct_execute_network_params.xhtml#aaf3c7f286030842a31025309ab6a8329">m_InputNames</a>.size() != 0 ?</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  m_Params.<a class="code" href="struct_execute_network_params.xhtml#aaf3c7f286030842a31025309ab6a8329">m_InputNames</a> :</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  m_IOInfo.m_InputNames;</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  std::stringstream ss;</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  ss << <span class="stringliteral">"===== Network Info =====\n"</span>;</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  ss << <span class="stringliteral">"Inputs in order:\n"</span>;</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>& inputName : inputNames)</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  {</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="keyword">const</span> <span class="keyword">auto</span> inputInfo = m_IOInfo.m_InputInfoMap[inputName].second;</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  ss << inputName << <span class="stringliteral">", "</span> << inputInfo.GetShape() << <span class="stringliteral">", "</span> << <a class="code" href="namespacearmnn.xhtml#a81b5ff8545adad19a1c9d4ca076d552c">GetDataTypeName</a>(inputInfo.GetDataType());</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="keywordflow">if</span> (inputInfo.IsQuantized())</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  {</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  ss << <span class="stringliteral">" Quantization Offset: "</span> << inputInfo.GetQuantizationOffset();</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keywordflow">if</span> (inputInfo.HasMultipleQuantizationScales())</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  {</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  ss << <span class="stringliteral">" Quantization scales: "</span>;</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span> scale: inputInfo.GetQuantizationScales())</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  {</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  ss << scale << <span class="stringliteral">", "</span>;</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  }</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  }</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  {</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  ss << <span class="stringliteral">" Quantization scale: "</span> << inputInfo.GetQuantizationScale();</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  }</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  }</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  ss << <span class="stringliteral">"\n"</span>;</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  }</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span> </div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  ss << <span class="stringliteral">"Outputs in order:\n"</span>;</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>& outputName : m_IOInfo.m_OutputNames)</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  {</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="keyword">const</span> <span class="keyword">auto</span> outputInfo = m_IOInfo.m_OutputInfoMap[outputName].second;</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  ss << outputName << <span class="stringliteral">", "</span> << outputInfo.GetShape() << <span class="stringliteral">", "</span> << <a class="code" href="namespacearmnn.xhtml#a81b5ff8545adad19a1c9d4ca076d552c">GetDataTypeName</a>(outputInfo.GetDataType());</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <span class="keywordflow">if</span> (outputInfo.IsQuantized())</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  {</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  ss << <span class="stringliteral">" Quantization Offset: "</span> << outputInfo.GetQuantizationOffset();</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <span class="keywordflow">if</span> (outputInfo.HasMultipleQuantizationScales())</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  {</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  ss << <span class="stringliteral">" Quantization scales: "</span>;</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span> scale: outputInfo.GetQuantizationScales())</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  {</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  ss << scale << <span class="stringliteral">", "</span>;</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  }</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  }</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  {</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  ss << <span class="stringliteral">" Quantization scale: "</span> << outputInfo.GetQuantizationScale();</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  }</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  }</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  ss << <span class="stringliteral">"\n"</span>;</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  }</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span> </div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  std::cout << ss.str() << std::endl;</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span> }</div><div class="ttc" id="namespacearmnn_xhtml_a81b5ff8545adad19a1c9d4ca076d552c"><div class="ttname"><a href="namespacearmnn.xhtml#a81b5ff8545adad19a1c9d4ca076d552c">armnn::GetDataTypeName</a></div><div class="ttdeci">constexpr const char * GetDataTypeName(DataType dataType)</div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8hpp_source.xhtml#l00202">TypesUtils.hpp:202</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>
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