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diff --git a/21.02/_execute_network_8cpp.xhtml b/21.02/_execute_network_8cpp.xhtml new file mode 100644 index 0000000000..f77b708039 --- /dev/null +++ b/21.02/_execute_network_8cpp.xhtml @@ -0,0 +1,269 @@ +<!-- Copyright (c) 2020 ARM Limited. --> +<!-- --> +<!-- SPDX-License-Identifier: MIT --> +<!-- --> +<!-- HTML header for doxygen 1.8.13--> +<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> +<html xmlns="http://www.w3.org/1999/xhtml"> +<head> +<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> +<meta http-equiv="X-UA-Compatible" content="IE=9"/> +<meta name="generator" content="Doxygen 1.8.13"/> +<meta name="robots" content="NOINDEX, NOFOLLOW" /> +<meta name="viewport" content="width=device-width, initial-scale=1"/> +<title>ArmNN: tests/ExecuteNetwork/ExecuteNetwork.cpp File Reference</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" 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class="title">ExecuteNetwork.cpp File Reference</div> </div> +</div><!--header--> +<div class="contents"> +<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="_logging_8hpp_source.xhtml">armnn/Logging.hpp</a>></code><br /> +<code>#include <<a class="el" href="_filesystem_8hpp_source.xhtml">Filesystem.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 /> +</div> +<p><a href="_execute_network_8cpp_source.xhtml">Go to the source code of this file.</a></p> +<table class="memberdecls"> +<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a> +Functions</h2></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> +<tr class="separator:afc1c3398fd2de1051edf23a171cfa01b"><td class="memSeparator" colspan="2"> </td></tr> +<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> +<tr class="separator:ac0f2228420376f4db7e1274f2b41667c"><td class="memSeparator" colspan="2"> </td></tr> +</table> +<h2 class="groupheader">Function Documentation</h2> +<a id="ac0f2228420376f4db7e1274f2b41667c"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ac0f2228420376f4db7e1274f2b41667c">◆ </a></span>main()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <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> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_execute_network_8cpp_source.xhtml#l00448">448</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="_utils_8cpp_source.xhtml#l00018">armnn::ConfigureLogging()</a>, <a class="el" href="_runtime_8cpp_source.xhtml#l00037">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#l00028">ExecuteNetworkParams::m_EnableDelegate</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#l00035">ExecuteNetworkParams::m_ModelFormat</a>, and <a class="el" href="_execute_network_program_options_8hpp_source.xhtml#l00045">ProgramOptions::m_RuntimeOptions</a>.</p> +<div class="fragment"><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>  <span class="comment">// Configures logging for both the ARMNN library and this test program.</span></div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span> <span class="preprocessor"> #ifdef NDEBUG</span></div><div class="line"><a name="l00452"></a><span class="lineno"> 452</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="l00453"></a><span class="lineno"> 453</span> <span class="preprocessor"> #else</span></div><div class="line"><a name="l00454"></a><span class="lineno"> 454</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="l00455"></a><span class="lineno"> 455</span> <span class="preprocessor"> #endif</span></div><div class="line"><a name="l00456"></a><span class="lineno"> 456</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="l00457"></a><span class="lineno"> 457</span> </div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span> </div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  <span class="comment">// Get ExecuteNetwork parameters and runtime options from command line</span></div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  <a class="code" href="struct_program_options.xhtml">ProgramOptions</a> <a class="code" href="struct_program_options.xhtml">ProgramOptions</a>(argc, argv);</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>  <span class="comment">// Create runtime</span></div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  std::shared_ptr<armnn::IRuntime> runtime(<a class="code" href="classarmnn_1_1_i_runtime.xhtml#ad44ecd3700748dc30dc4bbe34ba5bde7">armnn::IRuntime::Create</a>(<a class="code" href="struct_program_options.xhtml">ProgramOptions</a>.<a class="code" href="struct_program_options.xhtml#a521b82f1467d6ede7a11db36f4d0823d">m_RuntimeOptions</a>));</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span> </div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  std::string modelFormat = <a class="code" href="struct_program_options.xhtml">ProgramOptions</a>.<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="l00466"></a><span class="lineno"> 466</span> </div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  <span class="comment">// Forward to implementation based on the parser type</span></div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  <span class="keywordflow">if</span> (modelFormat.find(<span class="stringliteral">"armnn"</span>) != std::string::npos)</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> <span class="preprocessor"> #if defined(ARMNN_SERIALIZER)</span></div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  <span class="keywordflow">return</span> MainImpl<armnnDeserializer::IDeserializer, float>(<a class="code" href="struct_program_options.xhtml">ProgramOptions</a>.<a class="code" href="struct_program_options.xhtml#a85f77fe8adc087571402b9e204ad77dd">m_ExNetParams</a>, runtime);</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span> <span class="preprocessor"> #else</span></div><div class="line"><a name="l00473"></a><span class="lineno"> 473</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="l00474"></a><span class="lineno"> 474</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span> <span class="preprocessor"> #endif</span></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="keywordflow">else</span> <span class="keywordflow">if</span> (modelFormat.find(<span class="stringliteral">"caffe"</span>) != std::string::npos)</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  {</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span> <span class="preprocessor"> #if defined(ARMNN_CAFFE_PARSER)</span></div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  <span class="keywordflow">return</span> MainImpl<armnnCaffeParser::ICaffeParser, float>(<a class="code" href="struct_program_options.xhtml">ProgramOptions</a>.<a class="code" href="struct_program_options.xhtml#a85f77fe8adc087571402b9e204ad77dd">m_ExNetParams</a>, runtime);</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span> <span class="preprocessor"> #else</span></div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Not built with Caffe parser support."</span>;</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span> <span class="preprocessor"> #endif</span></div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  }</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</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="l00487"></a><span class="lineno"> 487</span>  {</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span> <span class="preprocessor"> #if defined(ARMNN_ONNX_PARSER)</span></div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  <span class="keywordflow">return</span> MainImpl<armnnOnnxParser::IOnnxParser, float>(<a class="code" href="struct_program_options.xhtml">ProgramOptions</a>.<a class="code" href="struct_program_options.xhtml#a85f77fe8adc087571402b9e204ad77dd">m_ExNetParams</a>, runtime);</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span> <span class="preprocessor"> #else</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>(fatal) << <span class="stringliteral">"Not built with Onnx parser support."</span>;</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span> <span class="preprocessor"> #endif</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">else</span> <span class="keywordflow">if</span> (modelFormat.find(<span class="stringliteral">"tensorflow"</span>) != std::string::npos)</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  {</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span> <span class="preprocessor"> #if defined(ARMNN_TF_PARSER)</span></div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  <span class="keywordflow">return</span> MainImpl<armnnTfParser::ITfParser, float>(<a class="code" href="struct_program_options.xhtml">ProgramOptions</a>.<a class="code" href="struct_program_options.xhtml#a85f77fe8adc087571402b9e204ad77dd">m_ExNetParams</a>, runtime);</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span> <span class="preprocessor"> #else</span></div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"Not built with Tensorflow parser support."</span>;</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span> <span class="preprocessor"> #endif</span></div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  }</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</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="l00505"></a><span class="lineno"> 505</span>  {</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>  <span class="keywordflow">if</span> (<a class="code" href="struct_program_options.xhtml">ProgramOptions</a>.<a class="code" href="struct_program_options.xhtml#a85f77fe8adc087571402b9e204ad77dd">m_ExNetParams</a>.<a class="code" href="struct_execute_network_params.xhtml#ad9e5bfa84cf85e3ddf24ae6cb124d3d4">m_EnableDelegate</a>)</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  {</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span> <span class="preprocessor"> #if defined(ARMNN_TF_LITE_DELEGATE)</span></div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  <span class="keywordflow">return</span> TfLiteDelegateMainImpl(<a class="code" href="struct_program_options.xhtml">ProgramOptions</a>.<a class="code" href="struct_program_options.xhtml#a85f77fe8adc087571402b9e204ad77dd">m_ExNetParams</a>, runtime);</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span> <span class="preprocessor"> #else</span></div><div class="line"><a name="l00512"></a><span class="lineno"> 512</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="l00513"></a><span class="lineno"> 513</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span> <span class="preprocessor"> #endif</span></div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  }</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span> <span class="preprocessor"> #if defined(ARMNN_TF_LITE_PARSER)</span></div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  <span class="keywordflow">return</span> MainImpl<armnnTfLiteParser::ITfLiteParser, float>(<a class="code" href="struct_program_options.xhtml">ProgramOptions</a>.<a class="code" href="struct_program_options.xhtml#a85f77fe8adc087571402b9e204ad77dd">m_ExNetParams</a>, runtime);</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span> <span class="preprocessor"> #else</span></div><div class="line"><a name="l00519"></a><span class="lineno"> 519</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="l00520"></a><span class="lineno"> 520</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span> <span class="preprocessor"> #endif</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>  <span class="keywordflow">else</span></div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  {</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</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="l00526"></a><span class="lineno"> 526</span>  << <span class="stringliteral">"'. Please include 'caffe', 'tensorflow', 'tflite' or 'onnx'"</span>;</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</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> }</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#l00037">Runtime.cpp:37</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="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"><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#l00013">Utils.hpp:13</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#l00035">ExecuteNetworkParams.hpp:35</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_ad9e5bfa84cf85e3ddf24ae6cb124d3d4"><div class="ttname"><a href="struct_execute_network_params.xhtml#ad9e5bfa84cf85e3ddf24ae6cb124d3d4">ExecuteNetworkParams::m_EnableDelegate</a></div><div class="ttdeci">bool m_EnableDelegate</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00028">ExecuteNetworkParams.hpp:28</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="afc1c3398fd2de1051edf23a171cfa01b"></a> +<h2 class="memtitle"><span class="permalink"><a href="#afc1c3398fd2de1051edf23a171cfa01b">◆ </a></span>MainImpl()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <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> + </tr> + <tr> + <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> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_execute_network_8cpp_source.xhtml#l00289">289</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="_inference_model_8hpp_source.xhtml#l00599">InferenceModel< IParser, TDataType >::GetInputQuantizationParams()</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00505">InferenceModel< IParser, TDataType >::GetInputSize()</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00587">InferenceModel< IParser, TDataType >::GetOutputBindingInfos()</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00511">InferenceModel< IParser, TDataType >::GetOutputSize()</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00017">ExecuteNetworkParams::m_CachedNetworkFilePath</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00101">Params::m_CachedNetworkFilePath</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00018">ExecuteNetworkParams::m_ComputeDevices</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00089">Params::m_ComputeDevices</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00019">ExecuteNetworkParams::m_DequantizeOutput</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00020">ExecuteNetworkParams::m_DynamicBackendsPath</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00090">Params::m_DynamicBackendsPath</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00021">ExecuteNetworkParams::m_EnableBf16TurboMode</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00095">Params::m_EnableBf16TurboMode</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00022">ExecuteNetworkParams::m_EnableFastMath</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00099">Params::m_EnableFastMath</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00023">ExecuteNetworkParams::m_EnableFp16TurboMode</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00094">Params::m_EnableFp16TurboMode</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00024">ExecuteNetworkParams::m_EnableLayerDetails</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00025">ExecuteNetworkParams::m_EnableProfiling</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00026">ExecuteNetworkParams::m_GenerateTensorData</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00027">ExecuteNetworkParams::m_InferOutputShape</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00098">Params::m_InferOutputShape</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00086">Params::m_InputBindings</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00029">ExecuteNetworkParams::m_InputNames</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00087">Params::m_InputShapes</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00030">ExecuteNetworkParams::m_InputTensorDataFilePaths</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00031">ExecuteNetworkParams::m_InputTensorShapes</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00032">ExecuteNetworkParams::m_InputTypes</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00033">ExecuteNetworkParams::m_IsModelBinary</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00092">Params::m_IsModelBinary</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00034">ExecuteNetworkParams::m_Iterations</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00049">ExecuteNetworkParams::m_MLGOTuningFilePath</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00103">Params::m_MLGOTuningFilePath</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00036">ExecuteNetworkParams::m_ModelPath</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00085">Params::m_ModelPath</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00037">ExecuteNetworkParams::m_NumberOfThreads</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00102">Params::m_NumberOfThreads</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00088">Params::m_OutputBindings</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00038">ExecuteNetworkParams::m_OutputNames</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00039">ExecuteNetworkParams::m_OutputTensorFiles</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00040">ExecuteNetworkParams::m_OutputTypes</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00041">ExecuteNetworkParams::m_ParseUnsupported</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00097">Params::m_ParseUnsupported</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00042">ExecuteNetworkParams::m_PrintIntermediate</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00096">Params::m_PrintIntermediateLayers</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00043">ExecuteNetworkParams::m_QuantizeInput</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00044">ExecuteNetworkParams::m_SaveCachedNetwork</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00100">Params::m_SaveCachedNetwork</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00045">ExecuteNetworkParams::m_SubgraphId</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00091">Params::m_SubgraphId</a>, <a class="el" href="_execute_network_params_8hpp_source.xhtml#l00046">ExecuteNetworkParams::m_ThresholdTime</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00093">Params::m_VisualizePostOptimizationModel</a>, <a class="el" href="_network_execution_utils_8cpp_source.xhtml#l00176">PopulateTensorWithData()</a>, <a class="el" href="_inference_model_8hpp_source.xhtml#l00517">InferenceModel< IParser, TDataType >::Run()</a>, and <a class="el" href="_exceptions_8cpp_source.xhtml#l00032">Exception::what()</a>.</p> +<div class="fragment"><div class="line"><a name="l00291"></a><span class="lineno"> 291</span> {</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <span class="keyword">using</span> <a class="code" href="_model_accuracy_checker_test_8cpp.xhtml#acf933608643ce27b3c68e3431d047d0a">TContainer</a> = mapbox::util::variant<std::vector<float>, std::vector<int>, std::vector<unsigned char>>;</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span> </div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  std::vector<TContainer> inputDataContainers;</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span> </div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  <span class="keywordflow">try</span></div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  {</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</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="l00299"></a><span class="lineno"> 299</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="l00300"></a><span class="lineno"> 300</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="l00301"></a><span class="lineno"> 301</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="l00302"></a><span class="lineno"> 302</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="l00303"></a><span class="lineno"> 303</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="l00304"></a><span class="lineno"> 304</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="l00305"></a><span class="lineno"> 305</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="l00306"></a><span class="lineno"> 306</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="l00307"></a><span class="lineno"> 307</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="l00308"></a><span class="lineno"> 308</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="l00309"></a><span class="lineno"> 309</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="l00310"></a><span class="lineno"> 310</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="l00311"></a><span class="lineno"> 311</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="l00312"></a><span class="lineno"> 312</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="l00313"></a><span class="lineno"> 313</span> </div><div class="line"><a name="l00314"></a><span class="lineno"> 314</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="l00315"></a><span class="lineno"> 315</span>  {</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</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="l00317"></a><span class="lineno"> 317</span>  }</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span> </div><div class="line"><a name="l00319"></a><span class="lineno"> 319</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="l00320"></a><span class="lineno"> 320</span>  {</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</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="l00322"></a><span class="lineno"> 322</span>  }</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span> </div><div class="line"><a name="l00324"></a><span class="lineno"> 324</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="l00325"></a><span class="lineno"> 325</span>  {</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</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="l00327"></a><span class="lineno"> 327</span>  }</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span> </div><div class="line"><a name="l00329"></a><span class="lineno"> 329</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="l00330"></a><span class="lineno"> 330</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="l00331"></a><span class="lineno"> 331</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="l00332"></a><span class="lineno"> 332</span> </div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  <a class="code" href="class_inference_model.xhtml">InferenceModel<TParser, TDataType></a> model(inferenceModelParams,</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  params.<a class="code" href="struct_execute_network_params.xhtml#a26d42007440bb01a1a6d0ab3b5a657ee">m_EnableProfiling</a>,</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  params.<a class="code" href="struct_execute_network_params.xhtml#ae43cf4b5df0068ee6a9151c98947248b">m_DynamicBackendsPath</a>,</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  runtime);</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span> </div><div class="line"><a name="l00338"></a><span class="lineno"> 338</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="l00339"></a><span class="lineno"> 339</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="l00340"></a><span class="lineno"> 340</span>  {</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</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="l00342"></a><span class="lineno"> 342</span>  armnn::MakeOptional<QuantizationParams>(</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  model.GetInputQuantizationParams()) :</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">armnn::EmptyOptional</a>();</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span> </div><div class="line"><a name="l00346"></a><span class="lineno"> 346</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="l00347"></a><span class="lineno"> 347</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">armnn::EmptyOptional</a>() :</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</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="l00349"></a><span class="lineno"> 349</span>  params.m_InputTensorDataFilePaths[i]);</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span> </div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numElements = model.GetInputSize(i);</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</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="l00353"></a><span class="lineno"> 353</span>  {</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <span class="comment">// If the user has provided a tensor shape for the current input,</span></div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  <span class="comment">// override numElements</span></div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  numElements = params.<a class="code" href="struct_execute_network_params.xhtml#a091cda9098c6f03f91f477a22327892d">m_InputTensorShapes</a>[i]->GetNumElements();</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  }</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span> </div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <a class="code" href="_model_accuracy_checker_test_8cpp.xhtml#acf933608643ce27b3c68e3431d047d0a">TContainer</a> tensorData;</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  <a class="code" href="_network_execution_utils_8cpp.xhtml#adb958be77ea4f3663e50db710f1edbba">PopulateTensorWithData</a>(tensorData,</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  numElements,</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  params.<a class="code" href="struct_execute_network_params.xhtml#acc7592cbdfe2e70cbc3794fb1e7eaeb9">m_InputTypes</a>[i],</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  qParams,</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  dataFile);</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span> </div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  inputDataContainers.push_back(tensorData);</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  }</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span> </div><div class="line"><a name="l00369"></a><span class="lineno"> 369</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="l00370"></a><span class="lineno"> 370</span>  std::vector<TContainer> outputDataContainers;</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span> </div><div class="line"><a name="l00372"></a><span class="lineno"> 372</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="l00373"></a><span class="lineno"> 373</span>  {</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</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="l00375"></a><span class="lineno"> 375</span>  {</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  outputDataContainers.push_back(std::vector<float>(model.GetOutputSize(i)));</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="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="l00379"></a><span class="lineno"> 379</span>  {</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  outputDataContainers.push_back(std::vector<int>(model.GetOutputSize(i)));</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  }</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</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="l00383"></a><span class="lineno"> 383</span>  {</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  outputDataContainers.push_back(std::vector<uint8_t>(model.GetOutputSize(i)));</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  }</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  {</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</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="l00389"></a><span class="lineno"> 389</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  }</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  }</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span> </div><div class="line"><a name="l00393"></a><span class="lineno"> 393</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="l00394"></a><span class="lineno"> 394</span>  {</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  <span class="comment">// model.Run returns the inference time elapsed in EnqueueWorkload (in milliseconds)</span></div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  <span class="keyword">auto</span> inference_duration = model.Run(inputDataContainers, outputDataContainers);</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">if</span> (params.<a class="code" href="struct_execute_network_params.xhtml#a99c7360a4d4b248b3f10607bc5d2fe7b">m_GenerateTensorData</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>  <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="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="comment">// Print output tensors</span></div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  <span class="keyword">const</span> <span class="keyword">auto</span>& infosOut = model.GetOutputBindingInfos();</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < numOutputs; 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>  <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="l00408"></a><span class="lineno"> 408</span>  <span class="keyword">auto</span> outputTensorFile = params.<a class="code" href="struct_execute_network_params.xhtml#a74d346297c55b516908c541030adc88d">m_OutputTensorFiles</a>.empty() ? <span class="stringliteral">""</span> : params.<a class="code" href="struct_execute_network_params.xhtml#a74d346297c55b516908c541030adc88d">m_OutputTensorFiles</a>[i];</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>  <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="l00411"></a><span class="lineno"> 411</span>  infoOut,</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  outputTensorFile,</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  params.<a class="code" href="struct_execute_network_params.xhtml#a85929a48c5e7b16af8f5bc637e45a37f">m_DequantizeOutput</a>);</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  mapbox::util::apply_visitor(printer, outputDataContainers[i]);</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  }</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="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(info) << <span class="stringliteral">"\nInference time: "</span> << std::setprecision(2)</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  << std::fixed << inference_duration.count() << <span class="stringliteral">" ms\n"</span>;</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span> </div><div class="line"><a name="l00420"></a><span class="lineno"> 420</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="l00421"></a><span class="lineno"> 421</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="l00422"></a><span class="lineno"> 422</span>  {</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</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="l00424"></a><span class="lineno"> 424</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="l00425"></a><span class="lineno"> 425</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="l00426"></a><span class="lineno"> 426</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="l00427"></a><span class="lineno"> 427</span>  << std::fixed << thresholdMinusInference << <span class="stringliteral">" ms"</span> << <span class="stringliteral">"\n"</span>;</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> (thresholdMinusInference < 0)</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>  std::string errorMessage = <span class="stringliteral">"Elapsed inference time is greater than provided threshold time."</span>;</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << errorMessage;</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  }</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</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">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="l00438"></a><span class="lineno"> 438</span>  {</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</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="l00440"></a><span class="lineno"> 440</span>  <span class="keywordflow">return</span> EXIT_FAILURE;</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> </div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  <span class="keywordflow">return</span> EXIT_SUCCESS;</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</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#l00032">ExecuteNetworkParams.hpp:32</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#l00036">ExecuteNetworkParams.hpp:36</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#l00019">ExecuteNetworkParams.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#l00049">ExecuteNetworkParams.hpp:49</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_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#l00031">ExecuteNetworkParams.hpp:31</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_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#l00023">ExecuteNetworkParams.hpp:23</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#l00020">ExecuteNetworkParams.hpp:20</a></div></div> +<div class="ttc" id="_model_accuracy_checker_test_8cpp_xhtml_acf933608643ce27b3c68e3431d047d0a"><div class="ttname"><a href="_model_accuracy_checker_test_8cpp.xhtml#acf933608643ce27b3c68e3431d047d0a">TContainer</a></div><div class="ttdeci">mapbox::util::variant< std::vector< float >, std::vector< int >, std::vector< unsigned char > > TContainer</div><div class="ttdef"><b>Definition:</b> <a href="_model_accuracy_checker_test_8cpp_source.xhtml#l00055">ModelAccuracyCheckerTest.cpp:55</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#l00090">InferenceModel.hpp:90</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#l00332">InferenceModel.hpp:332</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="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#l00094">InferenceModel.hpp:94</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#l00042">ExecuteNetworkParams.hpp:42</a></div></div> +<div class="ttc" id="_network_execution_utils_8cpp_xhtml_adb958be77ea4f3663e50db710f1edbba"><div class="ttname"><a href="_network_execution_utils_8cpp.xhtml#adb958be77ea4f3663e50db710f1edbba">PopulateTensorWithData</a></div><div class="ttdeci">void PopulateTensorWithData(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#l00176">NetworkExecutionUtils.cpp:176</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#l00038">ExecuteNetworkParams.hpp:38</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__software__tools_8dox_source.xhtml#l00006">01_00_software_tools.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#l00041">ExecuteNetworkParams.hpp:41</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#l00039">ExecuteNetworkParams.hpp:39</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#l00044">ExecuteNetworkParams.hpp:44</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#l00093">InferenceModel.hpp:93</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#l00099">InferenceModel.hpp:99</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#l00017">ExecuteNetworkParams.hpp:17</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#l00045">ExecuteNetworkParams.hpp:45</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#l00095">InferenceModel.hpp:95</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#l00086">InferenceModel.hpp:86</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#l00018">ExecuteNetworkParams.hpp:18</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#l00040">ExecuteNetworkParams.hpp:40</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#l00033">ExecuteNetworkParams.hpp:33</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#l00087">InferenceModel.hpp:87</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#l00147">BackendId.hpp:147</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#l00100">InferenceModel.hpp:100</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#l00034">ExecuteNetworkParams.hpp:34</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#l00026">ExecuteNetworkParams.hpp:26</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#l00088">InferenceModel.hpp:88</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#l00089">InferenceModel.hpp:89</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#l00037">ExecuteNetworkParams.hpp:37</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#l00046">ExecuteNetworkParams.hpp:46</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#l00029">ExecuteNetworkParams.hpp:29</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#l00097">InferenceModel.hpp:97</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#l00022">ExecuteNetworkParams.hpp:22</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#l00021">ExecuteNetworkParams.hpp:21</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#l00098">InferenceModel.hpp:98</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#l00096">InferenceModel.hpp:96</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#l00101">InferenceModel.hpp:101</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#l00024">ExecuteNetworkParams.hpp:24</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="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#l00103">InferenceModel.hpp:103</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#l00102">InferenceModel.hpp:102</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#l00085">InferenceModel.hpp:85</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#l00092">InferenceModel.hpp:92</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#l00091">InferenceModel.hpp:91</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#l00024">NetworkExecutionUtils.hpp:24</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#l00043">ExecuteNetworkParams.hpp:43</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#l00083">InferenceModel.hpp:83</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#l00027">ExecuteNetworkParams.hpp:27</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#l00025">ExecuteNetworkParams.hpp:25</a></div></div> +</div><!-- fragment --> +</div> +</div> +</div><!-- contents --> +</div><!-- doc-content --> +<!-- start footer part --> +<div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> + <ul> + <li class="navelem"><a class="el" href="dir_59425e443f801f1f2fd8bbe4959a3ccf.xhtml">tests</a></li><li class="navelem"><a class="el" href="dir_3502d64799b714c597b8fa7662494b65.xhtml">ExecuteNetwork</a></li><li class="navelem"><a class="el" href="_execute_network_8cpp.xhtml">ExecuteNetwork.cpp</a></li> + <li class="footer">Generated on Thu Feb 25 2021 17:27:56 for ArmNN by + <a href="http://www.doxygen.org/index.html"> + <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li> + </ul> +</div> +</body> +</html> |