diff options
author | Nikhil Raj <nikhil.raj@arm.com> | 2022-11-23 11:05:29 +0000 |
---|---|---|
committer | Nikhil Raj <nikhil.raj@arm.com> | 2022-11-23 11:09:30 +0000 |
commit | cb0630959aeae05bc2ae9f6d80cf5f5983a8fb77 (patch) | |
tree | 0dbcf7ed5eb76622aba7bb742f39621aa476e3e8 /22.11/classarmnn__driver_1_1_armnn_prepared_model.xhtml | |
parent | 7bfd38a721360183f3392f9ab35db18a0dd7fef8 (diff) | |
download | armnn-cb0630959aeae05bc2ae9f6d80cf5f5983a8fb77.tar.gz |
IVGCVSW-7075 Update Doxygen for 22.11 Release
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: Ib5669e8fd3739d1b10f5dd694d020d51799896dc
Diffstat (limited to '22.11/classarmnn__driver_1_1_armnn_prepared_model.xhtml')
-rw-r--r-- | 22.11/classarmnn__driver_1_1_armnn_prepared_model.xhtml | 706 |
1 files changed, 706 insertions, 0 deletions
diff --git a/22.11/classarmnn__driver_1_1_armnn_prepared_model.xhtml b/22.11/classarmnn__driver_1_1_armnn_prepared_model.xhtml new file mode 100644 index 0000000000..f0d33f742d --- /dev/null +++ b/22.11/classarmnn__driver_1_1_armnn_prepared_model.xhtml @@ -0,0 +1,706 @@ +<!-- 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: ArmnnPreparedModel Class Reference</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="jquery.js"></script> +<script type="text/javascript" src="dynsections.js"></script> +<link href="navtree.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="resize.js"></script> +<script type="text/javascript" src="navtreedata.js"></script> +<script type="text/javascript" src="navtree.js"></script> +<script type="text/javascript"> + $(document).ready(initResizable); +</script> +<link href="search/search.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="search/searchdata.js"></script> +<script type="text/javascript" src="search/search.js"></script> +<script type="text/x-mathjax-config"> + MathJax.Hub.Config({ + extensions: ["tex2jax.js"], + jax: ["input/TeX","output/HTML-CSS"], +}); +</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +<link href="doxygen.css" rel="stylesheet" type="text/css" /> +<link href="stylesheet.css" rel="stylesheet" type="text/css"/> +</head> +<body> +<div id="top"><!-- do not remove this div, it is closed by doxygen! --> +<div id="titlearea"> +<table cellspacing="0" cellpadding="0"> + <tbody> + <tr style="height: 56px;"> + <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/> + <td style="padding-left: 0.5em;"> + <div id="projectname"> +  <span id="projectnumber">22.11</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.13 --> +<script type="text/javascript"> +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +$(function() { + initMenu('',true,false,'search.php','Search'); + $(document).ready(function() { init_search(); }); +}); +</script> +<div id="main-nav"></div> +</div><!-- top --> +<div id="side-nav" class="ui-resizable side-nav-resizable"> + <div id="nav-tree"> + <div id="nav-tree-contents"> + <div id="nav-sync" class="sync"></div> + </div> + </div> + <div id="splitbar" style="-moz-user-select:none;" + class="ui-resizable-handle"> + </div> +</div> +<script type="text/javascript"> +$(document).ready(function(){initNavTree('classarmnn__driver_1_1_armnn_prepared_model.xhtml','');}); +</script> +<div id="doc-content"> +<!-- window showing the filter options --> +<div id="MSearchSelectWindow" + onmouseover="return searchBox.OnSearchSelectShow()" + onmouseout="return searchBox.OnSearchSelectHide()" + onkeydown="return searchBox.OnSearchSelectKey(event)"> +</div> + +<!-- iframe showing the search results (closed by default) --> +<div id="MSearchResultsWindow"> +<iframe src="javascript:void(0)" frameborder="0" + name="MSearchResults" id="MSearchResults"> +</iframe> +</div> + +<div class="header"> + <div class="summary"> +<a href="#pub-methods">Public Member Functions</a> | +<a href="classarmnn__driver_1_1_armnn_prepared_model-members.xhtml">List of all members</a> </div> + <div class="headertitle"> +<div class="title">ArmnnPreparedModel Class Reference<span class="mlabels"><span class="mlabel">final</span></span></div> </div> +</div><!--header--> +<div class="contents"> + +<p><code>#include <<a class="el" href="_armnn_prepared_model_8hpp_source.xhtml">ArmnnPreparedModel.hpp</a>></code></p> +<div class="dynheader"> +Inheritance diagram for ArmnnPreparedModel:</div> +<div class="dyncontent"> + <div class="center"> + <img src="classarmnn__driver_1_1_armnn_prepared_model.png" usemap="#ArmnnPreparedModel_map" alt=""/> + <map id="ArmnnPreparedModel_map" name="ArmnnPreparedModel_map"> +</map> + </div></div> +<table class="memberdecls"> +<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a> +Public Member Functions</h2></td></tr> +<tr class="memitem:a4905d77691ee9a2e9705e90557f64c2b"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#a4905d77691ee9a2e9705e90557f64c2b">ArmnnPreparedModel</a> (<a class="el" href="namespacearmnn.xhtml#a0d8160388a127c1a23b37bc88dc6e2ec">armnn::NetworkId</a> networkId, <a class="el" href="classarmnn_1_1_i_runtime.xhtml">armnn::IRuntime</a> *runtime, const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> &model, const std::string &requestInputsAndOutputsDumpDir, const bool gpuProfilingEnabled, Priority priority=Priority::MEDIUM)</td></tr> +<tr class="separator:a4905d77691ee9a2e9705e90557f64c2b"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a5b6d4da9a2af5b8c583f0e646e5798c5"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#a5b6d4da9a2af5b8c583f0e646e5798c5">ArmnnPreparedModel</a> (<a class="el" href="namespacearmnn.xhtml#a0d8160388a127c1a23b37bc88dc6e2ec">armnn::NetworkId</a> networkId, <a class="el" href="classarmnn_1_1_i_runtime.xhtml">armnn::IRuntime</a> *runtime, const std::string &requestInputsAndOutputsDumpDir, const bool gpuProfilingEnabled, Priority priority=Priority::MEDIUM, const bool prepareModelFromCache=false)</td></tr> +<tr class="separator:a5b6d4da9a2af5b8c583f0e646e5798c5"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ac8ea5639172e7326168e2b73ed07e47e"><td class="memItemLeft" align="right" valign="top">virtual </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#ac8ea5639172e7326168e2b73ed07e47e">~ArmnnPreparedModel</a> ()</td></tr> +<tr class="separator:ac8ea5639172e7326168e2b73ed07e47e"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a67e5c38788f9b0152baee24e8f57bc2b"><td class="memItemLeft" align="right" valign="top">ExecutionResult< std::pair< std::vector< OutputShape >, Timing > > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#a67e5c38788f9b0152baee24e8f57bc2b">execute</a> (const Request &request, MeasureTiming measureTiming, const OptionalTimePoint &deadline, const OptionalDuration &loopTimeoutDuration, const std::vector< android::nn::TokenValuePair > &hints, const std::vector< android::nn::ExtensionNameAndPrefix > &extensionNameToPrefix) const override</td></tr> +<tr class="separator:a67e5c38788f9b0152baee24e8f57bc2b"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a8d70cd869c7c1eda1c5891ba7e015661"><td class="memItemLeft" align="right" valign="top">GeneralResult< std::pair< SyncFence, ExecuteFencedInfoCallback > > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#a8d70cd869c7c1eda1c5891ba7e015661">executeFenced</a> (const Request &request, const std::vector< SyncFence > &waitFor, MeasureTiming measureTiming, const OptionalTimePoint &deadline, const OptionalDuration &loopTimeoutDuration, const OptionalDuration &timeoutDurationAfterFence, const std::vector< android::nn::TokenValuePair > &hints, const std::vector< android::nn::ExtensionNameAndPrefix > &extensionNameToPrefix) const override</td></tr> +<tr class="separator:a8d70cd869c7c1eda1c5891ba7e015661"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab108fedcef5c0d766444eb2def3b7bad"><td class="memItemLeft" align="right" valign="top">GeneralResult< android::nn::SharedExecution > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#ab108fedcef5c0d766444eb2def3b7bad">createReusableExecution</a> (const Request &request, MeasureTiming measureTiming, const OptionalDuration &loopTimeoutDuration, const std::vector< android::nn::TokenValuePair > &hints, const std::vector< android::nn::ExtensionNameAndPrefix > &extensionNameToPrefix) const override</td></tr> +<tr class="separator:ab108fedcef5c0d766444eb2def3b7bad"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a6d898cab83b5bb67f5b8f6a766ea245b"><td class="memItemLeft" align="right" valign="top">GeneralResult< SharedBurst > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#a6d898cab83b5bb67f5b8f6a766ea245b">configureExecutionBurst</a> () const override</td></tr> +<tr class="separator:a6d898cab83b5bb67f5b8f6a766ea245b"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a0481f4c1ca5608339a5688daf256a4e4"><td class="memItemLeft" align="right" valign="top">std::any </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#a0481f4c1ca5608339a5688daf256a4e4">getUnderlyingResource</a> () const override</td></tr> +<tr class="separator:a0481f4c1ca5608339a5688daf256a4e4"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:af62ba010a5b9f3187cfeb50db1dcad0a"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn__driver.xhtml#a1fa5070fa0d079873acaf7581de8a2ad">ErrorStatus</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#af62ba010a5b9f3187cfeb50db1dcad0a">ExecuteGraph</a> (std::shared_ptr< std::vector< android::nn::RunTimePoolInfo >> &pMemPools, <a class="el" href="namespacearmnn.xhtml#aa01bce88f89975a5a031db4cc8861527">armnn::InputTensors</a> &inputTensors, <a class="el" href="namespacearmnn.xhtml#a8f091a512915d1cb29a4ebf13dfc53ea">armnn::OutputTensors</a> &outputTensors, <a class="el" href="structarmnn__driver_1_1_canonical_execution_context.xhtml">CanonicalExecutionContext</a> callback, const bool pointerMemory=false) const</td></tr> +<tr class="memdesc:af62ba010a5b9f3187cfeb50db1dcad0a"><td class="mdescLeft"> </td><td class="mdescRight">execute the graph prepared from the request <a href="#af62ba010a5b9f3187cfeb50db1dcad0a">More...</a><br /></td></tr> +<tr class="separator:af62ba010a5b9f3187cfeb50db1dcad0a"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ac88833eb361390437abc2a81ab43d04a"><td class="memItemLeft" align="right" valign="top">Priority </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#ac88833eb361390437abc2a81ab43d04a">GetModelPriority</a> () const</td></tr> +<tr class="separator:ac88833eb361390437abc2a81ab43d04a"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ad84aace3d1df79ad6fa37dcd952c085f"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#ad84aace3d1df79ad6fa37dcd952c085f">ExecuteWithDummyInputs</a> (unsigned int numInputs, unsigned int numOutputs) const</td></tr> +<tr class="memdesc:ad84aace3d1df79ad6fa37dcd952c085f"><td class="mdescLeft"> </td><td class="mdescRight">Executes this model with dummy inputs (e.g. <a href="#ad84aace3d1df79ad6fa37dcd952c085f">More...</a><br /></td></tr> +<tr class="separator:ad84aace3d1df79ad6fa37dcd952c085f"><td class="memSeparator" colspan="2"> </td></tr> +</table> +<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2> +<div class="textblock"> +<p class="definition">Definition at line <a class="el" href="_armnn_prepared_model_8hpp_source.xhtml#l00038">38</a> of file <a class="el" href="_armnn_prepared_model_8hpp_source.xhtml">ArmnnPreparedModel.hpp</a>.</p> +</div><h2 class="groupheader">Constructor & Destructor Documentation</h2> +<a id="a4905d77691ee9a2e9705e90557f64c2b"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a4905d77691ee9a2e9705e90557f64c2b">◆ </a></span>ArmnnPreparedModel() <span class="overload">[1/2]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml">ArmnnPreparedModel</a> </td> + <td>(</td> + <td class="paramtype"><a class="el" href="namespacearmnn.xhtml#a0d8160388a127c1a23b37bc88dc6e2ec">armnn::NetworkId</a> </td> + <td class="paramname"><em>networkId</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_runtime.xhtml">armnn::IRuntime</a> * </td> + <td class="paramname"><em>runtime</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> & </td> + <td class="paramname"><em>model</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::string & </td> + <td class="paramname"><em>requestInputsAndOutputsDumpDir</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const bool </td> + <td class="paramname"><em>gpuProfilingEnabled</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">Priority </td> + <td class="paramname"><em>priority</em> = <code>Priority::MEDIUM</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="_armnn_prepared_model_8cpp_source.xhtml#l00126">126</a> of file <a class="el" href="_armnn_prepared_model_8cpp_source.xhtml">ArmnnPreparedModel.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  : m_NetworkId(networkId)</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  , m_Runtime(runtime)</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  , m_Model(model)</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  , m_RequestInputsAndOutputsDumpDir(requestInputsAndOutputsDumpDir)</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  , m_GpuProfilingEnabled(gpuProfilingEnabled)</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  , m_ModelPriority(priority)</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  , m_PrepareFromCache(<span class="keyword">false</span>)</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> {</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  Init();</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a5b6d4da9a2af5b8c583f0e646e5798c5"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a5b6d4da9a2af5b8c583f0e646e5798c5">◆ </a></span>ArmnnPreparedModel() <span class="overload">[2/2]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml">ArmnnPreparedModel</a> </td> + <td>(</td> + <td class="paramtype"><a class="el" href="namespacearmnn.xhtml#a0d8160388a127c1a23b37bc88dc6e2ec">armnn::NetworkId</a> </td> + <td class="paramname"><em>networkId</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_runtime.xhtml">armnn::IRuntime</a> * </td> + <td class="paramname"><em>runtime</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::string & </td> + <td class="paramname"><em>requestInputsAndOutputsDumpDir</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const bool </td> + <td class="paramname"><em>gpuProfilingEnabled</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">Priority </td> + <td class="paramname"><em>priority</em> = <code>Priority::MEDIUM</code>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const bool </td> + <td class="paramname"><em>prepareModelFromCache</em> = <code>false</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="_armnn_prepared_model_8cpp_source.xhtml#l00143">143</a> of file <a class="el" href="_armnn_prepared_model_8cpp_source.xhtml">ArmnnPreparedModel.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_canonical_utils_8hpp_source.xhtml#l00095">armnn_driver::ComputeShape()</a>, <a class="el" href="_runtime_8cpp_source.xhtml#l00079">IRuntime::GetInputTensorInfo()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00305">BaseTensor< MemoryType >::GetMemoryArea()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00427">TensorInfo::GetNumBytes()</a>, <a class="el" href="_runtime_8cpp_source.xhtml#l00084">IRuntime::GetOutputTensorInfo()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00191">TensorInfo::GetShape()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00514">TensorInfo::SetConstant()</a>, and <a class="el" href="_exceptions_8cpp_source.xhtml#l00032">Exception::what()</a>.</p> +<div class="fragment"><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  : m_NetworkId(networkId)</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  , m_Runtime(runtime)</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  , m_RequestInputsAndOutputsDumpDir(requestInputsAndOutputsDumpDir)</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  , m_GpuProfilingEnabled(gpuProfilingEnabled)</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  , m_ModelPriority(priority)</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  , m_PrepareFromCache(prepareModelFromCache)</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span> {</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  Init();</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ac8ea5639172e7326168e2b73ed07e47e"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ac8ea5639172e7326168e2b73ed07e47e">◆ </a></span>~ArmnnPreparedModel()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">~<a class="el" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml">ArmnnPreparedModel</a> </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_armnn_prepared_model_8cpp_source.xhtml#l00628">628</a> of file <a class="el" href="_armnn_prepared_model_8cpp_source.xhtml">ArmnnPreparedModel.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_canonical_utils_8cpp_source.xhtml#l00350">armnn_driver::DumpJsonProfilingIfRequired()</a>, <a class="el" href="_runtime_8cpp_source.xhtml#l00148">IRuntime::GetProfiler()</a>, and <a class="el" href="_runtime_8cpp_source.xhtml#l00133">IRuntime::UnloadNetwork()</a>.</p> +<div class="fragment"><div class="line"><a name="l00629"></a><span class="lineno"> 629</span> {</div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  VLOG(DRIVER) << <span class="stringliteral">"ArmnnPreparedModel::~ArmnnPreparedModel()"</span>;</div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  <span class="comment">// Get a hold of the profiler used by this model.</span></div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  <span class="keywordflow">if</span> (m_GpuProfilingEnabled)</div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  {</div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  <span class="keyword">auto</span> profiler = m_Runtime-><a class="code" href="classarmnn_1_1_i_runtime.xhtml#af87d0743d1266e264c3197a32299f4b2">GetProfiler</a>(m_NetworkId);</div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  <span class="keywordflow">if</span> (profiler)</div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  {</div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  <span class="comment">// Dump the profiling info to a file if required.</span></div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  <a class="code" href="namespacearmnn__driver.xhtml#aa313ae79f70102e3451d45d3387c2e46">DumpJsonProfilingIfRequired</a>(m_GpuProfilingEnabled,</div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  m_RequestInputsAndOutputsDumpDir,</div><div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  m_NetworkId,</div><div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  profiler.get());</div><div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  }</div><div class="line"><a name="l00643"></a><span class="lineno"> 643</span>  }</div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  <span class="comment">// Unload the network associated with this model</span></div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span>  m_Runtime-><a class="code" href="classarmnn_1_1_i_runtime.xhtml#aed397991b99f485ffab9a42aece47019">UnloadNetwork</a>(m_NetworkId);</div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span> }</div><div class="ttc" id="classarmnn_1_1_i_runtime_xhtml_af87d0743d1266e264c3197a32299f4b2"><div class="ttname"><a href="classarmnn_1_1_i_runtime.xhtml#af87d0743d1266e264c3197a32299f4b2">armnn::IRuntime::GetProfiler</a></div><div class="ttdeci">const std::shared_ptr< IProfiler > GetProfiler(NetworkId networkId) const</div><div class="ttdoc">Gets the profiler corresponding to the given network id. </div><div class="ttdef"><b>Definition:</b> <a href="_runtime_8cpp_source.xhtml#l00148">Runtime.cpp:148</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_runtime_xhtml_aed397991b99f485ffab9a42aece47019"><div class="ttname"><a href="classarmnn_1_1_i_runtime.xhtml#aed397991b99f485ffab9a42aece47019">armnn::IRuntime::UnloadNetwork</a></div><div class="ttdeci">Status UnloadNetwork(NetworkId networkId)</div><div class="ttdoc">Unloads a network from the IRuntime. </div><div class="ttdef"><b>Definition:</b> <a href="_runtime_8cpp_source.xhtml#l00133">Runtime.cpp:133</a></div></div> +<div class="ttc" id="namespacearmnn__driver_xhtml_aa313ae79f70102e3451d45d3387c2e46"><div class="ttname"><a href="namespacearmnn__driver.xhtml#aa313ae79f70102e3451d45d3387c2e46">armnn_driver::DumpJsonProfilingIfRequired</a></div><div class="ttdeci">void DumpJsonProfilingIfRequired(bool gpuProfilingEnabled, const std::string &dumpDir, armnn::NetworkId networkId, const armnn::IProfiler *profiler)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.xhtml#l00350">CanonicalUtils.cpp:350</a></div></div> +</div><!-- fragment --> +</div> +</div> +<h2 class="groupheader">Member Function Documentation</h2> +<a id="a6d898cab83b5bb67f5b8f6a766ea245b"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a6d898cab83b5bb67f5b8f6a766ea245b">◆ </a></span>configureExecutionBurst()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">GeneralResult< SharedBurst > configureExecutionBurst </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_armnn_prepared_model_8cpp_source.xhtml#l00600">600</a> of file <a class="el" href="_armnn_prepared_model_8cpp_source.xhtml">ArmnnPreparedModel.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00601"></a><span class="lineno"> 601</span> {</div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  <span class="comment">// TODO: Implement BURST</span></div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ab108fedcef5c0d766444eb2def3b7bad"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ab108fedcef5c0d766444eb2def3b7bad">◆ </a></span>createReusableExecution()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">GeneralResult< SharedExecution > createReusableExecution </td> + <td>(</td> + <td class="paramtype">const Request & </td> + <td class="paramname"><em>request</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">MeasureTiming </td> + <td class="paramname"><em>measureTiming</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const OptionalDuration & </td> + <td class="paramname"><em>loopTimeoutDuration</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::vector< android::nn::TokenValuePair > & </td> + <td class="paramname"><em>hints</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::vector< android::nn::ExtensionNameAndPrefix > & </td> + <td class="paramname"><em>extensionNameToPrefix</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_armnn_prepared_model_8cpp_source.xhtml#l00586">586</a> of file <a class="el" href="_armnn_prepared_model_8cpp_source.xhtml">ArmnnPreparedModel.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00592"></a><span class="lineno"> 592</span> {</div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  VLOG(DRIVER) << <span class="stringliteral">"ArmnnPreparedModel::createReusableExecution()"</span>;</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  <span class="keywordflow">return</span> std::make_shared<DefaultExecution>(shared_from_this(),</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  request,</div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  measureTiming,</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  loopTimeoutDuration);</div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a67e5c38788f9b0152baee24e8f57bc2b"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a67e5c38788f9b0152baee24e8f57bc2b">◆ </a></span>execute()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">ExecutionResult< std::pair< std::vector< OutputShape >, Timing > > execute </td> + <td>(</td> + <td class="paramtype">const Request & </td> + <td class="paramname"><em>request</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">MeasureTiming </td> + <td class="paramname"><em>measureTiming</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const OptionalTimePoint & </td> + <td class="paramname"><em>deadline</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const OptionalDuration & </td> + <td class="paramname"><em>loopTimeoutDuration</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::vector< android::nn::TokenValuePair > & </td> + <td class="paramname"><em>hints</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::vector< android::nn::ExtensionNameAndPrefix > & </td> + <td class="paramname"><em>extensionNameToPrefix</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_armnn_prepared_model_8cpp_source.xhtml#l00295">295</a> of file <a class="el" href="_armnn_prepared_model_8cpp_source.xhtml">ArmnnPreparedModel.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_canonical_utils_8hpp_source.xhtml#l00095">armnn_driver::ComputeShape()</a>, <a class="el" href="_armnn_prepared_model_8hpp_source.xhtml#l00033">CanonicalExecutionContext::driverStart</a>, <a class="el" href="_armnn_prepared_model_8cpp_source.xhtml#l00375">ArmnnPreparedModel::ExecuteGraph()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00295">BaseTensor< MemoryType >::GetInfo()</a>, <a class="el" href="_canonical_utils_8cpp_source.xhtml#l00521">armnn_driver::GetModelSummary()</a>, and <a class="el" href="_armnn_prepared_model_8hpp_source.xhtml#l00031">CanonicalExecutionContext::measureTimings</a>.</p> +<div class="fragment"><div class="line"><a name="l00302"></a><span class="lineno"> 302</span> {</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  VLOG(DRIVER) << <span class="stringliteral">"CanonicalDriver::PreparedModel::execute()"</span>;</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span> </div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  <a class="code" href="structarmnn__driver_1_1_canonical_execution_context.xhtml">CanonicalExecutionContext</a> ctx;</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <span class="keywordflow">if</span> (measureTiming == MeasureTiming::YES)</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  {</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  ctx.<a class="code" href="structarmnn__driver_1_1_canonical_execution_context.xhtml#aeb7cb4ac5b343a8eb2efd91aeee37743">measureTimings</a> = measureTiming;</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  ctx.<a class="code" href="structarmnn__driver_1_1_canonical_execution_context.xhtml#ab6f19cc463ef7a388af5de182a393ed2">driverStart</a> = Clock::now();</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  }</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span> </div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  <span class="keywordflow">if</span> (!m_PrepareFromCache)</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="keyword">const</span> <span class="keyword">auto</span> modelRequest = validateRequestForModel(request, m_Model);</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <span class="keywordflow">if</span> (!modelRequest.ok())</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  {</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::INVALID_ARGUMENT) << modelRequest.error();</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>  VLOG(DRIVER) << <span class="stringliteral">"ArmnnPreparedModel::execute(): "</span> << <a class="code" href="namespacearmnn__driver.xhtml#a31b494d1b36f5ed7fc7556a0fbc2c17c">GetModelSummary</a>(m_Model).c_str();</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>  <span class="keywordflow">if</span> (hasDeadlinePassed(deadline))</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>  <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::MISSED_DEADLINE_PERSISTENT);</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  }</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>  <span class="comment">// map the memory pool into shared pointers</span></div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <span class="comment">// use a shared memory pools vector on the heap, as it is passed to the request thread</span></div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <span class="keyword">auto</span> memPools = std::make_shared<std::vector<android::nn::RunTimePoolInfo>>();</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span> </div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  <span class="comment">// allocate the tensors on the heap, as they are passed to the request thread</span></div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <span class="keyword">auto</span> inputTensors = std::make_shared<armnn::InputTensors>();</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  <span class="keyword">auto</span> outputTensors = std::make_shared<armnn::OutputTensors>();</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span> </div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <span class="keyword">auto</span> isPointerTypeMemory = IsPointerTypeMemory(request);</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  <a class="code" href="namespacearmnn__driver.xhtml#a1fa5070fa0d079873acaf7581de8a2ad">ErrorStatus</a> theErrorStatus = PrepareMemoryForIO(*inputTensors,</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  *outputTensors,</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  *memPools,</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  request,</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  isPointerTypeMemory);</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>  <span class="keywordflow">switch</span>(theErrorStatus)</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  {</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <span class="keywordflow">case</span> ErrorStatus::OUTPUT_INSUFFICIENT_SIZE:</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::OUTPUT_INSUFFICIENT_SIZE);</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <span class="keywordflow">case</span> ErrorStatus::GENERAL_FAILURE:</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::GENERAL_FAILURE);</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="keywordflow">case</span> ErrorStatus::INVALID_ARGUMENT:</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::INVALID_ARGUMENT);</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  <span class="keywordflow">default</span>:</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>  }</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span> </div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  std::vector<OutputShape> outputShapes(outputTensors->size());</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < outputTensors->size(); i++)</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  {</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  std::pair<int, armnn::Tensor> outputTensorPair = (*outputTensors)[i];</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a> outputTensor = outputTensorPair.second;</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo = outputTensor.<a class="code" href="classarmnn_1_1_base_tensor.xhtml#a8aeddebdcf02e1832b22203c08a6b678">GetInfo</a>();</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span> </div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  outputShapes[i] = <a class="code" href="namespacearmnn__driver.xhtml#a93d7282d7b5701a723304d87fcdc3a43">ComputeShape</a>(outputTensorInfo);</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  }</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  Timing theTiming;</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span> </div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  VLOG(DRIVER) << <span class="stringliteral">"ArmnnPreparedModel::execute(...) before ExecuteGraph"</span>;</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  <span class="keyword">auto</span> errorStatus = <a class="code" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#af62ba010a5b9f3187cfeb50db1dcad0a">ExecuteGraph</a>(memPools, *inputTensors, *outputTensors, ctx, isPointerTypeMemory);</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  <span class="keywordflow">if</span> (errorStatus != ErrorStatus::NONE)</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>  <span class="keywordflow">return</span> NN_ERROR(errorStatus) << <span class="stringliteral">"execute() failed"</span>;</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  }</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  VLOG(DRIVER) << <span class="stringliteral">"ArmnnPreparedModel::execute(...) after ExecuteGraph"</span>;</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">return</span> std::make_pair(outputShapes, theTiming);</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span> }</div><div class="ttc" id="structarmnn__driver_1_1_canonical_execution_context_xhtml_aeb7cb4ac5b343a8eb2efd91aeee37743"><div class="ttname"><a href="structarmnn__driver_1_1_canonical_execution_context.xhtml#aeb7cb4ac5b343a8eb2efd91aeee37743">armnn_driver::CanonicalExecutionContext::measureTimings</a></div><div class="ttdeci">::android::nn::MeasureTiming measureTimings</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8hpp_source.xhtml#l00031">ArmnnPreparedModel.hpp:31</a></div></div> +<div class="ttc" id="namespacearmnn__driver_xhtml_a1fa5070fa0d079873acaf7581de8a2ad"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a1fa5070fa0d079873acaf7581de8a2ad">armnn_driver::ErrorStatus</a></div><div class="ttdeci">::android::nn::ErrorStatus ErrorStatus</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.xhtml#l00049">ConversionUtils.hpp:49</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="classarmnn__driver_1_1_armnn_prepared_model_xhtml_af62ba010a5b9f3187cfeb50db1dcad0a"><div class="ttname"><a href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#af62ba010a5b9f3187cfeb50db1dcad0a">armnn_driver::ArmnnPreparedModel::ExecuteGraph</a></div><div class="ttdeci">ErrorStatus ExecuteGraph(std::shared_ptr< std::vector< android::nn::RunTimePoolInfo >> &pMemPools, armnn::InputTensors &inputTensors, armnn::OutputTensors &outputTensors, CanonicalExecutionContext callback, const bool pointerMemory=false) const</div><div class="ttdoc">execute the graph prepared from the request </div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8cpp_source.xhtml#l00375">ArmnnPreparedModel.cpp:375</a></div></div> +<div class="ttc" id="namespacearmnn__driver_xhtml_a93d7282d7b5701a723304d87fcdc3a43"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a93d7282d7b5701a723304d87fcdc3a43">armnn_driver::ComputeShape</a></div><div class="ttdeci">OutputShape ComputeShape(const armnn::TensorInfo &info)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8hpp_source.xhtml#l00095">CanonicalUtils.hpp:95</a></div></div> +<div class="ttc" id="namespacearmnn__driver_xhtml_a31b494d1b36f5ed7fc7556a0fbc2c17c"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a31b494d1b36f5ed7fc7556a0fbc2c17c">armnn_driver::GetModelSummary</a></div><div class="ttdeci">std::string GetModelSummary(const Model &model)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.xhtml#l00521">CanonicalUtils.cpp:521</a></div></div> +<div class="ttc" id="structarmnn__driver_1_1_canonical_execution_context_xhtml"><div class="ttname"><a href="structarmnn__driver_1_1_canonical_execution_context.xhtml">armnn_driver::CanonicalExecutionContext</a></div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8hpp_source.xhtml#l00029">ArmnnPreparedModel.hpp:29</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and a mutable backing store. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00319">Tensor.hpp:319</a></div></div> +<div class="ttc" id="structarmnn__driver_1_1_canonical_execution_context_xhtml_ab6f19cc463ef7a388af5de182a393ed2"><div class="ttname"><a href="structarmnn__driver_1_1_canonical_execution_context.xhtml#ab6f19cc463ef7a388af5de182a393ed2">armnn_driver::CanonicalExecutionContext::driverStart</a></div><div class="ttdeci">android::nn::TimePoint driverStart</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8hpp_source.xhtml#l00033">ArmnnPreparedModel.hpp:33</a></div></div> +<div class="ttc" id="classarmnn_1_1_base_tensor_xhtml_a8aeddebdcf02e1832b22203c08a6b678"><div class="ttname"><a href="classarmnn_1_1_base_tensor.xhtml#a8aeddebdcf02e1832b22203c08a6b678">armnn::BaseTensor::GetInfo</a></div><div class="ttdeci">const TensorInfo & GetInfo() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00295">Tensor.hpp:295</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a8d70cd869c7c1eda1c5891ba7e015661"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a8d70cd869c7c1eda1c5891ba7e015661">◆ </a></span>executeFenced()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">GeneralResult< std::pair< SyncFence, ExecuteFencedInfoCallback > > executeFenced </td> + <td>(</td> + <td class="paramtype">const Request & </td> + <td class="paramname"><em>request</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::vector< SyncFence > & </td> + <td class="paramname"><em>waitFor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">MeasureTiming </td> + <td class="paramname"><em>measureTiming</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const OptionalTimePoint & </td> + <td class="paramname"><em>deadline</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const OptionalDuration & </td> + <td class="paramname"><em>loopTimeoutDuration</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const OptionalDuration & </td> + <td class="paramname"><em>timeoutDurationAfterFence</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::vector< android::nn::TokenValuePair > & </td> + <td class="paramname"><em>hints</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::vector< android::nn::ExtensionNameAndPrefix > & </td> + <td class="paramname"><em>extensionNameToPrefix</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_armnn_prepared_model_8cpp_source.xhtml#l00478">478</a> of file <a class="el" href="_armnn_prepared_model_8cpp_source.xhtml">ArmnnPreparedModel.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_armnn_prepared_model_8hpp_source.xhtml#l00036">CanonicalExecutionContext::deviceEnd</a>, <a class="el" href="_armnn_prepared_model_8hpp_source.xhtml#l00035">CanonicalExecutionContext::deviceStart</a>, <a class="el" href="_armnn_prepared_model_8hpp_source.xhtml#l00034">CanonicalExecutionContext::driverEnd</a>, <a class="el" href="_armnn_prepared_model_8hpp_source.xhtml#l00033">CanonicalExecutionContext::driverStart</a>, <a class="el" href="_armnn_prepared_model_8cpp_source.xhtml#l00375">ArmnnPreparedModel::ExecuteGraph()</a>, <a class="el" href="_canonical_utils_8cpp_source.xhtml#l00521">armnn_driver::GetModelSummary()</a>, and <a class="el" href="_armnn_prepared_model_8hpp_source.xhtml#l00031">CanonicalExecutionContext::measureTimings</a>.</p> +<div class="fragment"><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>  VLOG(DRIVER) << <span class="stringliteral">"ArmnnPreparedModel::executeFenced()"</span>;</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span> </div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  <span class="keywordflow">if</span> (!m_PrepareFromCache) {</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  <span class="keyword">const</span> <span class="keyword">auto</span> modelRequest = validateRequestForModel(request, m_Model);</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  <span class="keywordflow">if</span> (!modelRequest.ok())</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  {</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::INVALID_ARGUMENT) << modelRequest.error();</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  }</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  VLOG(DRIVER) << <span class="stringliteral">"ArmnnPreparedModel::executeFenced(): "</span> << <a class="code" href="namespacearmnn__driver.xhtml#a31b494d1b36f5ed7fc7556a0fbc2c17c">GetModelSummary</a>(m_Model).c_str();</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  }</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  <span class="keywordflow">if</span> (hasDeadlinePassed(deadline))</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  {</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::MISSED_DEADLINE_PERSISTENT);</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  }</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span> </div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  <a class="code" href="structarmnn__driver_1_1_canonical_execution_context.xhtml">CanonicalExecutionContext</a> ctx;</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  <span class="keywordflow">if</span> (measureTiming == MeasureTiming::YES)</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>  ctx.<a class="code" href="structarmnn__driver_1_1_canonical_execution_context.xhtml#aeb7cb4ac5b343a8eb2efd91aeee37743">measureTimings</a> = measureTiming;</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  ctx.<a class="code" href="structarmnn__driver_1_1_canonical_execution_context.xhtml#ab6f19cc463ef7a388af5de182a393ed2">driverStart</a> = Clock::now();</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> </div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  <span class="comment">// Wait for the dependent events to signal</span></div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>& syncFence : waitFor)</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  {</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  <span class="keywordflow">if</span> (!syncFence.getSharedHandle())</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  {</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::INVALID_ARGUMENT);</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  }</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  <span class="keywordflow">if</span> (syncFence.syncWait({}) != SyncFence::FenceState::SIGNALED)</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  {</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::GENERAL_FAILURE) << <span class="stringliteral">"syncWait failed"</span>;</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  }</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</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>  android::nn::TimePoint fenceExecutionStart;</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  <span class="keywordflow">if</span> (measureTiming == MeasureTiming::YES)</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  {</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  fenceExecutionStart = Clock::now();</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  }</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span> </div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  <span class="comment">// map the memory pool into shared pointers</span></div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  <span class="comment">// use a shared memory pools vector on the heap, as it is passed to the request thread</span></div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  <span class="keyword">auto</span> memPools = std::make_shared<std::vector<android::nn::RunTimePoolInfo>>();</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span> </div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  <span class="comment">// allocate the tensors on the heap, as they are passed to the request thread</span></div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  <span class="keyword">auto</span> inputTensors = std::make_shared<armnn::InputTensors>();</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  <span class="keyword">auto</span> outputTensors = std::make_shared<armnn::OutputTensors>();</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span> </div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  <span class="keyword">auto</span> isPointerTypeMemory = IsPointerTypeMemory(request);</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  <a class="code" href="namespacearmnn__driver.xhtml#a1fa5070fa0d079873acaf7581de8a2ad">ErrorStatus</a> theErrorStatus = PrepareMemoryForIO(*inputTensors,</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  *outputTensors,</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  *memPools,</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  request,</div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  isPointerTypeMemory);</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span> </div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  <span class="keywordflow">if</span> (theErrorStatus != ErrorStatus::NONE)</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  {</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::INVALID_ARGUMENT) << <span class="stringliteral">"executeFenced() failed"</span>;</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  }</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span> </div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  Timing timingSinceLaunch = {};</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  Timing timingAfterFence = {};</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  <span class="keywordflow">if</span> (measureTiming == MeasureTiming::YES)</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  {</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  timingAfterFence.timeOnDevice = ctx.<a class="code" href="structarmnn__driver_1_1_canonical_execution_context.xhtml#ac4711bb6ab33a33529c62c2c6842a831">deviceEnd</a> - ctx.<a class="code" href="structarmnn__driver_1_1_canonical_execution_context.xhtml#a6da5957063ca094917c6e5bfeac65898">deviceStart</a>;</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  timingAfterFence.timeInDriver = ctx.<a class="code" href="structarmnn__driver_1_1_canonical_execution_context.xhtml#a45f03338910173fc12dd2ac19521a742">driverEnd</a> - fenceExecutionStart;</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  VLOG(DRIVER) << <span class="stringliteral">"executeFenced timingSinceLaunch = "</span> << timingAfterFence.timeOnDevice;</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  VLOG(DRIVER) << <span class="stringliteral">"executeFenced timingAfterFence = "</span> << timingAfterFence.timeInDriver;</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  }</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span> </div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  VLOG(DRIVER) << <span class="stringliteral">"ArmnnCanonicalPreparedModel::executeFenced(...) before ExecuteGraph"</span>;</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  <span class="keyword">auto</span> errorStatus = <a class="code" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#af62ba010a5b9f3187cfeb50db1dcad0a">ExecuteGraph</a>(memPools, *inputTensors, *outputTensors, ctx, isPointerTypeMemory);</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  VLOG(DRIVER) << <span class="stringliteral">"ArmnnCanonicalPreparedModel::executeFenced(...) after ExecuteGraph"</span>;</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span> </div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  ExecuteFencedInfoCallback armnnFencedExecutionCallback =</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  [timingSinceLaunch, timingAfterFence, errorStatus]() {</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span> </div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  GeneralResult<std::pair<Timing, Timing>> result;</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span> </div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  <span class="keywordflow">switch</span>(errorStatus)</div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  {</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  <span class="keywordflow">case</span> ErrorStatus::OUTPUT_INSUFFICIENT_SIZE:</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  result.error().code = (ErrorStatus::OUTPUT_INSUFFICIENT_SIZE);</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  <span class="keywordflow">case</span> ErrorStatus::GENERAL_FAILURE:</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  result.error().code = (ErrorStatus::GENERAL_FAILURE);</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  <span class="keywordflow">case</span> ErrorStatus::INVALID_ARGUMENT:</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  result.error().code = (ErrorStatus::INVALID_ARGUMENT);</div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  {</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  result.value() = std::make_pair(timingSinceLaunch, timingAfterFence);</div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  }</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  }</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  };</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  <span class="keywordflow">return</span> std::make_pair(SyncFence::createAsSignaled(), std::move(armnnFencedExecutionCallback ));</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span> }</div><div class="ttc" id="structarmnn__driver_1_1_canonical_execution_context_xhtml_aeb7cb4ac5b343a8eb2efd91aeee37743"><div class="ttname"><a href="structarmnn__driver_1_1_canonical_execution_context.xhtml#aeb7cb4ac5b343a8eb2efd91aeee37743">armnn_driver::CanonicalExecutionContext::measureTimings</a></div><div class="ttdeci">::android::nn::MeasureTiming measureTimings</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8hpp_source.xhtml#l00031">ArmnnPreparedModel.hpp:31</a></div></div> +<div class="ttc" id="namespacearmnn__driver_xhtml_a1fa5070fa0d079873acaf7581de8a2ad"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a1fa5070fa0d079873acaf7581de8a2ad">armnn_driver::ErrorStatus</a></div><div class="ttdeci">::android::nn::ErrorStatus ErrorStatus</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.xhtml#l00049">ConversionUtils.hpp:49</a></div></div> +<div class="ttc" id="structarmnn__driver_1_1_canonical_execution_context_xhtml_a6da5957063ca094917c6e5bfeac65898"><div class="ttname"><a href="structarmnn__driver_1_1_canonical_execution_context.xhtml#a6da5957063ca094917c6e5bfeac65898">armnn_driver::CanonicalExecutionContext::deviceStart</a></div><div class="ttdeci">android::nn::TimePoint deviceStart</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8hpp_source.xhtml#l00035">ArmnnPreparedModel.hpp:35</a></div></div> +<div class="ttc" id="classarmnn__driver_1_1_armnn_prepared_model_xhtml_af62ba010a5b9f3187cfeb50db1dcad0a"><div class="ttname"><a href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#af62ba010a5b9f3187cfeb50db1dcad0a">armnn_driver::ArmnnPreparedModel::ExecuteGraph</a></div><div class="ttdeci">ErrorStatus ExecuteGraph(std::shared_ptr< std::vector< android::nn::RunTimePoolInfo >> &pMemPools, armnn::InputTensors &inputTensors, armnn::OutputTensors &outputTensors, CanonicalExecutionContext callback, const bool pointerMemory=false) const</div><div class="ttdoc">execute the graph prepared from the request </div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8cpp_source.xhtml#l00375">ArmnnPreparedModel.cpp:375</a></div></div> +<div class="ttc" id="namespacearmnn__driver_xhtml_a31b494d1b36f5ed7fc7556a0fbc2c17c"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a31b494d1b36f5ed7fc7556a0fbc2c17c">armnn_driver::GetModelSummary</a></div><div class="ttdeci">std::string GetModelSummary(const Model &model)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.xhtml#l00521">CanonicalUtils.cpp:521</a></div></div> +<div class="ttc" id="structarmnn__driver_1_1_canonical_execution_context_xhtml"><div class="ttname"><a href="structarmnn__driver_1_1_canonical_execution_context.xhtml">armnn_driver::CanonicalExecutionContext</a></div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8hpp_source.xhtml#l00029">ArmnnPreparedModel.hpp:29</a></div></div> +<div class="ttc" id="structarmnn__driver_1_1_canonical_execution_context_xhtml_ab6f19cc463ef7a388af5de182a393ed2"><div class="ttname"><a href="structarmnn__driver_1_1_canonical_execution_context.xhtml#ab6f19cc463ef7a388af5de182a393ed2">armnn_driver::CanonicalExecutionContext::driverStart</a></div><div class="ttdeci">android::nn::TimePoint driverStart</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8hpp_source.xhtml#l00033">ArmnnPreparedModel.hpp:33</a></div></div> +<div class="ttc" id="structarmnn__driver_1_1_canonical_execution_context_xhtml_ac4711bb6ab33a33529c62c2c6842a831"><div class="ttname"><a href="structarmnn__driver_1_1_canonical_execution_context.xhtml#ac4711bb6ab33a33529c62c2c6842a831">armnn_driver::CanonicalExecutionContext::deviceEnd</a></div><div class="ttdeci">android::nn::TimePoint deviceEnd</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8hpp_source.xhtml#l00036">ArmnnPreparedModel.hpp:36</a></div></div> +<div class="ttc" id="structarmnn__driver_1_1_canonical_execution_context_xhtml_a45f03338910173fc12dd2ac19521a742"><div class="ttname"><a href="structarmnn__driver_1_1_canonical_execution_context.xhtml#a45f03338910173fc12dd2ac19521a742">armnn_driver::CanonicalExecutionContext::driverEnd</a></div><div class="ttdeci">android::nn::TimePoint driverEnd</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8hpp_source.xhtml#l00034">ArmnnPreparedModel.hpp:34</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="af62ba010a5b9f3187cfeb50db1dcad0a"></a> +<h2 class="memtitle"><span class="permalink"><a href="#af62ba010a5b9f3187cfeb50db1dcad0a">◆ </a></span>ExecuteGraph()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="namespacearmnn__driver.xhtml#a1fa5070fa0d079873acaf7581de8a2ad">ErrorStatus</a> ExecuteGraph </td> + <td>(</td> + <td class="paramtype">std::shared_ptr< std::vector< android::nn::RunTimePoolInfo >> & </td> + <td class="paramname"><em>pMemPools</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="namespacearmnn.xhtml#aa01bce88f89975a5a031db4cc8861527">armnn::InputTensors</a> & </td> + <td class="paramname"><em>inputTensors</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="namespacearmnn.xhtml#a8f091a512915d1cb29a4ebf13dfc53ea">armnn::OutputTensors</a> & </td> + <td class="paramname"><em>outputTensors</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="structarmnn__driver_1_1_canonical_execution_context.xhtml">CanonicalExecutionContext</a> </td> + <td class="paramname"><em>callback</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const bool </td> + <td class="paramname"><em>pointerMemory</em> = <code>false</code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p>execute the graph prepared from the request </p> + +<p class="definition">Definition at line <a class="el" href="_armnn_prepared_model_8cpp_source.xhtml#l00375">375</a> of file <a class="el" href="_armnn_prepared_model_8cpp_source.xhtml">ArmnnPreparedModel.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_canonical_utils_8cpp_source.xhtml#l00610">armnn_driver::CommitPools()</a>, <a class="el" href="_armnn_prepared_model_8hpp_source.xhtml#l00036">CanonicalExecutionContext::deviceEnd</a>, <a class="el" href="_armnn_prepared_model_8hpp_source.xhtml#l00035">CanonicalExecutionContext::deviceStart</a>, <a class="el" href="_armnn_prepared_model_8hpp_source.xhtml#l00034">CanonicalExecutionContext::driverEnd</a>, <a class="el" href="_armnn_prepared_model_8hpp_source.xhtml#l00033">CanonicalExecutionContext::driverStart</a>, <a class="el" href="_runtime_8cpp_source.xhtml#l00110">IRuntime::EnqueueWorkload()</a>, <a class="el" href="_runtime_8cpp_source.xhtml#l00089">IRuntime::ImportInputs()</a>, <a class="el" href="_runtime_8cpp_source.xhtml#l00095">IRuntime::ImportOutputs()</a>, <a class="el" href="namespacearmnn.xhtml#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">armnn::Malloc</a>, <a class="el" href="_armnn_prepared_model_8hpp_source.xhtml#l00031">CanonicalExecutionContext::measureTimings</a>, <a class="el" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">armnn::Success</a>, and <a class="el" href="_exceptions_8cpp_source.xhtml#l00032">Exception::what()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_armnn_prepared_model_8cpp_source.xhtml#l00295">ArmnnPreparedModel::execute()</a>, <a class="el" href="_armnn_prepared_model_8cpp_source.xhtml#l00478">ArmnnPreparedModel::executeFenced()</a>, and <a class="el" href="_armnn_prepared_model_8cpp_source.xhtml#l00648">ArmnnPreparedModel::ExecuteWithDummyInputs()</a>.</p> +<div class="fragment"><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>  VLOG(DRIVER) << <span class="stringliteral">"ArmnnPreparedModel::ExecuteGraph(...)"</span>;</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>  DumpTensorsIfRequired(<span class="stringliteral">"Input"</span>, inputTensors);</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  std::vector<armnn::ImportedInputId> importedInputIds;</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  std::vector<armnn::ImportedOutputId> importedOutputIds;</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  <span class="keywordflow">try</span></div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  {</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  <span class="keywordflow">if</span> (ctx.measureTimings == MeasureTiming::YES)</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>  ctx.deviceStart = Clock::now();</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>  <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a> status;</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  VLOG(DRIVER) << <span class="stringliteral">"ArmnnPreparedModel::ExecuteGraph m_AsyncModelExecutionEnabled false"</span>;</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  importedInputIds = m_Runtime-><a class="code" href="classarmnn_1_1_i_runtime.xhtml#ac2cb56a0d7ee6fb53e9f97e624973c19">ImportInputs</a>(m_NetworkId, inputTensors, <a class="code" href="namespacearmnn.xhtml#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">armnn::MemorySource::Malloc</a>);</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  <span class="keywordflow">if</span> (!importedInputIds.empty())</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="comment">// Some or all of the input tensors been imported. We need to remove the ones that could from</span></div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  <span class="comment">// inputTensors.</span></div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  <span class="keywordflow">for</span> (<a class="code" href="namespacearmnn.xhtml#a1c5ec805688cb558465a82a8d9f56a90">armnn::ImportedInputId</a>& importedId : importedInputIds)</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>  inputTensors.erase(</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  std::remove_if(</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  inputTensors.begin(), inputTensors.end(),</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  [&importedId](std::pair<armnn::LayerBindingId, class armnn::ConstTensor>& element) {</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <span class="keywordflow">return</span> (element.first == static_cast<int>(importedId));</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  }),</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  inputTensors.end());</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>  }</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  importedOutputIds = m_Runtime-><a class="code" href="classarmnn_1_1_i_runtime.xhtml#a7db39b06bc7f50287f54320d26df4373">ImportOutputs</a>(m_NetworkId, outputTensors, <a class="code" href="namespacearmnn.xhtml#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">armnn::MemorySource::Malloc</a>);</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  <span class="keywordflow">if</span> (!importedOutputIds.empty())</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  {</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  <span class="comment">// Some or all of the output tensors could not be imported. We need to remove the ones that could</span></div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  <span class="comment">// from outputTensors.</span></div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  <span class="keywordflow">for</span> (<a class="code" href="namespacearmnn.xhtml#a1c5ec805688cb558465a82a8d9f56a90">armnn::ImportedInputId</a>& importedId : importedOutputIds)</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  {</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  outputTensors.erase(</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  std::remove_if(</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  outputTensors.begin(), outputTensors.end(),</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  [&importedId](std::pair<armnn::LayerBindingId, class armnn::Tensor>& element) {</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  <span class="keywordflow">return</span> (element.first == static_cast<int>(importedId));</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  }),</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  outputTensors.end());</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  }</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  }</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  status = m_Runtime-><a class="code" href="classarmnn_1_1_i_runtime.xhtml#aca51209383683ab8dbe801bbfddfe0c0">EnqueueWorkload</a>(m_NetworkId,</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  inputTensors,</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  outputTensors,</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  importedInputIds,</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  importedOutputIds);</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span> </div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  <span class="keywordflow">if</span> (ctx.measureTimings == MeasureTiming::YES)</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>  ctx.deviceEnd = Clock::now();</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">if</span> (status != <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">armnn::Status::Success</a>)</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>  VLOG(DRIVER) << <span class="stringliteral">"ArmnnPreparedModel:ExecuteGraph EnqueueWorkload failed"</span>;</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  <span class="keywordflow">return</span> ErrorStatus::GENERAL_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">catch</span> (<a class="code" href="classarmnn_1_1_exception.xhtml">armnn::Exception</a>& e)</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  {</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  VLOG(DRIVER) << <span class="stringliteral">"armnn:Exception caught from EnqueueWorkload: "</span> << e.<a class="code" href="classarmnn_1_1_exception.xhtml#abf843cbb29dec939d0731e491bab6f70">what</a>();</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  <span class="keywordflow">return</span> ErrorStatus::GENERAL_FAILURE;</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  }</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <span class="keywordflow">catch</span> (std::exception& e)</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  {</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  VLOG(DRIVER) << <span class="stringliteral">"std::exception caught from EnqueueWorkload: "</span> << e.what();</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  <span class="keywordflow">return</span> ErrorStatus::GENERAL_FAILURE;</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  }</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span> </div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  <span class="keywordflow">if</span> (!pointerMemory && (!importedInputIds.empty() || !importedOutputIds.empty()))</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  {</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <a class="code" href="namespacearmnn__driver.xhtml#a7c1c80ee0f432b6b621c40571410195a">CommitPools</a>(*pMemPools);</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>  DumpTensorsIfRequired(<span class="stringliteral">"Output"</span>, outputTensors);</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span> </div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  <span class="keywordflow">if</span> (ctx.measureTimings == MeasureTiming::YES)</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>  ctx.driverEnd = Clock::now();</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  Timing timing;</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  timing.timeOnDevice = ctx.deviceEnd - ctx.deviceStart;</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  timing.timeInDriver = ctx.driverEnd - ctx.driverStart;</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  VLOG(DRIVER) << <span class="stringliteral">"ArmnnPreparedModel::execute timing - Device = "</span></div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  << timing.timeOnDevice << <span class="stringliteral">"Driver = "</span> << timing.timeInDriver;</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  }</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  <span class="keywordflow">return</span> ErrorStatus::NONE;</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span> }</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="namespacearmnn_xhtml_a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38"><div class="ttname"><a href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">armnn::Status::Success</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a67a0db04d321a74b7e7fcfd3f1a3f70b"><div class="ttname"><a href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a></div><div class="ttdeci">Status</div><div class="ttdoc">enumeration </div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00042">Types.hpp:42</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_runtime_xhtml_aca51209383683ab8dbe801bbfddfe0c0"><div class="ttname"><a href="classarmnn_1_1_i_runtime.xhtml#aca51209383683ab8dbe801bbfddfe0c0">armnn::IRuntime::EnqueueWorkload</a></div><div class="ttdeci">Status EnqueueWorkload(NetworkId networkId, const InputTensors &inputTensors, const OutputTensors &outputTensors, std::vector< ImportedInputId > preImportedInputIds={}, std::vector< ImportedOutputId > preImportedOutputIds={})</div><div class="ttdoc">Evaluates a network using input in inputTensors and outputs filled into outputTensors. </div><div class="ttdef"><b>Definition:</b> <a href="_runtime_8cpp_source.xhtml#l00110">Runtime.cpp:110</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523"><div class="ttname"><a href="namespacearmnn.xhtml#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">armnn::MemorySource::Malloc</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a1c5ec805688cb558465a82a8d9f56a90"><div class="ttname"><a href="namespacearmnn.xhtml#a1c5ec805688cb558465a82a8d9f56a90">armnn::ImportedInputId</a></div><div class="ttdeci">unsigned int ImportedInputId</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00291">Types.hpp:291</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_runtime_xhtml_ac2cb56a0d7ee6fb53e9f97e624973c19"><div class="ttname"><a href="classarmnn_1_1_i_runtime.xhtml#ac2cb56a0d7ee6fb53e9f97e624973c19">armnn::IRuntime::ImportInputs</a></div><div class="ttdeci">std::vector< ImportedInputId > ImportInputs(NetworkId networkId, const InputTensors &inputTensors, MemorySource forceImportMemorySource=MemorySource::Undefined)</div><div class="ttdoc">ImportInputs separates the importing and mapping of InputTensors from network execution. </div><div class="ttdef"><b>Definition:</b> <a href="_runtime_8cpp_source.xhtml#l00089">Runtime.cpp:89</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="classarmnn_1_1_i_runtime_xhtml_a7db39b06bc7f50287f54320d26df4373"><div class="ttname"><a href="classarmnn_1_1_i_runtime.xhtml#a7db39b06bc7f50287f54320d26df4373">armnn::IRuntime::ImportOutputs</a></div><div class="ttdeci">std::vector< ImportedOutputId > ImportOutputs(NetworkId networkId, const OutputTensors &outputTensors, MemorySource forceImportMemorySource=MemorySource::Undefined)</div><div class="ttdoc">ImportOutputs separates the importing and mapping of OutputTensors from network execution. </div><div class="ttdef"><b>Definition:</b> <a href="_runtime_8cpp_source.xhtml#l00095">Runtime.cpp:95</a></div></div> +<div class="ttc" id="namespacearmnn__driver_xhtml_a7c1c80ee0f432b6b621c40571410195a"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a7c1c80ee0f432b6b621c40571410195a">armnn_driver::CommitPools</a></div><div class="ttdeci">void CommitPools(std::vector<::android::nn::RunTimePoolInfo > &memPools)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.xhtml#l00610">CanonicalUtils.cpp:610</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="ad84aace3d1df79ad6fa37dcd952c085f"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ad84aace3d1df79ad6fa37dcd952c085f">◆ </a></span>ExecuteWithDummyInputs()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool ExecuteWithDummyInputs </td> + <td>(</td> + <td class="paramtype">unsigned int </td> + <td class="paramname"><em>numInputs</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">unsigned int </td> + <td class="paramname"><em>numOutputs</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p>Executes this model with dummy inputs (e.g. </p> +<p>all zeroes). </p><dl class="section return"><dt>Returns</dt><dd>false on failure, otherwise true </dd></dl> + +<p class="definition">Definition at line <a class="el" href="_armnn_prepared_model_8cpp_source.xhtml#l00648">648</a> of file <a class="el" href="_armnn_prepared_model_8cpp_source.xhtml">ArmnnPreparedModel.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_armnn_prepared_model_8cpp_source.xhtml#l00375">ArmnnPreparedModel::ExecuteGraph()</a>, <a class="el" href="_runtime_8cpp_source.xhtml#l00079">IRuntime::GetInputTensorInfo()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00427">TensorInfo::GetNumBytes()</a>, <a class="el" href="_runtime_8cpp_source.xhtml#l00084">IRuntime::GetOutputTensorInfo()</a>, <a class="el" href="_armnn_prepared_model_8hpp_source.xhtml#l00031">CanonicalExecutionContext::measureTimings</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00514">TensorInfo::SetConstant()</a>.</p> +<div class="fragment"><div class="line"><a name="l00649"></a><span class="lineno"> 649</span> {</div><div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  std::vector<std::vector<char>> storage;</div><div class="line"><a name="l00651"></a><span class="lineno"> 651</span>  <a class="code" href="namespacearmnn.xhtml#aa01bce88f89975a5a031db4cc8861527">armnn::InputTensors</a> inputTensors;</div><div class="line"><a name="l00652"></a><span class="lineno"> 652</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="l00653"></a><span class="lineno"> 653</span>  {</div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo = m_Runtime-><a class="code" href="classarmnn_1_1_i_runtime.xhtml#a25f528b76d8116e08cddc7d4a8661ee1">GetInputTensorInfo</a>(m_NetworkId, i);</div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  <span class="comment">// pInputTensors (of type InputTensors) is composed of a vector of ConstTensors.</span></div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span>  <span class="comment">// Therefore, set all TensorInfo isConstant parameters of input Tensors to true.</span></div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8ffca1e21bdfa7f945617acd606aac91">SetConstant</a>();</div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  storage.emplace_back(inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#abcbdfb544ece4c31d0b37715ad0f3be0">GetNumBytes</a>());</div><div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a> inputTensor(inputTensorInfo, storage.back().data());</div><div class="line"><a name="l00660"></a><span class="lineno"> 660</span> </div><div class="line"><a name="l00661"></a><span class="lineno"> 661</span>  inputTensors.emplace_back(i, inputTensor);</div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  }</div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span> </div><div class="line"><a name="l00664"></a><span class="lineno"> 664</span>  <a class="code" href="namespacearmnn.xhtml#a8f091a512915d1cb29a4ebf13dfc53ea">armnn::OutputTensors</a> outputTensors;</div><div class="line"><a name="l00665"></a><span class="lineno"> 665</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="l00666"></a><span class="lineno"> 666</span>  {</div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo = m_Runtime-><a class="code" href="classarmnn_1_1_i_runtime.xhtml#a5dccecd36bb6eda573be616face68035">GetOutputTensorInfo</a>(m_NetworkId, i);</div><div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  storage.emplace_back(outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#abcbdfb544ece4c31d0b37715ad0f3be0">GetNumBytes</a>());</div><div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a> outputTensor(outputTensorInfo, storage.back().data());</div><div class="line"><a name="l00670"></a><span class="lineno"> 670</span> </div><div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  outputTensors.emplace_back(i, outputTensor);</div><div class="line"><a name="l00672"></a><span class="lineno"> 672</span>  }</div><div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  <a class="code" href="structarmnn__driver_1_1_canonical_execution_context.xhtml">CanonicalExecutionContext</a> ctx;</div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span>  ctx.<a class="code" href="structarmnn__driver_1_1_canonical_execution_context.xhtml#aeb7cb4ac5b343a8eb2efd91aeee37743">measureTimings</a> = MeasureTiming::NO;</div><div class="line"><a name="l00675"></a><span class="lineno"> 675</span>  <span class="keyword">auto</span> memPools = std::make_shared<std::vector<::android::nn::RunTimePoolInfo>>();</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="keyword">auto</span> errorStatus = <a class="code" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#af62ba010a5b9f3187cfeb50db1dcad0a">ExecuteGraph</a>(memPools,</div><div class="line"><a name="l00678"></a><span class="lineno"> 678</span>  inputTensors,</div><div class="line"><a name="l00679"></a><span class="lineno"> 679</span>  outputTensors,</div><div class="line"><a name="l00680"></a><span class="lineno"> 680</span>  ctx);</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">return</span> errorStatus == ErrorStatus::NONE;</div><div class="line"><a name="l00683"></a><span class="lineno"> 683</span> }</div><div class="ttc" id="structarmnn__driver_1_1_canonical_execution_context_xhtml_aeb7cb4ac5b343a8eb2efd91aeee37743"><div class="ttname"><a href="structarmnn__driver_1_1_canonical_execution_context.xhtml#aeb7cb4ac5b343a8eb2efd91aeee37743">armnn_driver::CanonicalExecutionContext::measureTimings</a></div><div class="ttdeci">::android::nn::MeasureTiming measureTimings</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8hpp_source.xhtml#l00031">ArmnnPreparedModel.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="classarmnn__driver_1_1_armnn_prepared_model_xhtml_af62ba010a5b9f3187cfeb50db1dcad0a"><div class="ttname"><a href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#af62ba010a5b9f3187cfeb50db1dcad0a">armnn_driver::ArmnnPreparedModel::ExecuteGraph</a></div><div class="ttdeci">ErrorStatus ExecuteGraph(std::shared_ptr< std::vector< android::nn::RunTimePoolInfo >> &pMemPools, armnn::InputTensors &inputTensors, armnn::OutputTensors &outputTensors, CanonicalExecutionContext callback, const bool pointerMemory=false) const</div><div class="ttdoc">execute the graph prepared from the request </div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8cpp_source.xhtml#l00375">ArmnnPreparedModel.cpp:375</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_abcbdfb544ece4c31d0b37715ad0f3be0"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#abcbdfb544ece4c31d0b37715ad0f3be0">armnn::TensorInfo::GetNumBytes</a></div><div class="ttdeci">unsigned int GetNumBytes() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00427">Tensor.cpp:427</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_runtime_xhtml_a25f528b76d8116e08cddc7d4a8661ee1"><div class="ttname"><a href="classarmnn_1_1_i_runtime.xhtml#a25f528b76d8116e08cddc7d4a8661ee1">armnn::IRuntime::GetInputTensorInfo</a></div><div class="ttdeci">TensorInfo GetInputTensorInfo(NetworkId networkId, LayerBindingId layerId) const</div><div class="ttdef"><b>Definition:</b> <a href="_runtime_8cpp_source.xhtml#l00079">Runtime.cpp:79</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_aa01bce88f89975a5a031db4cc8861527"><div class="ttname"><a href="namespacearmnn.xhtml#aa01bce88f89975a5a031db4cc8861527">armnn::InputTensors</a></div><div class="ttdeci">std::vector< std::pair< LayerBindingId, class ConstTensor > > InputTensors</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00392">Tensor.hpp:392</a></div></div> +<div class="ttc" id="structarmnn__driver_1_1_canonical_execution_context_xhtml"><div class="ttname"><a href="structarmnn__driver_1_1_canonical_execution_context.xhtml">armnn_driver::CanonicalExecutionContext</a></div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8hpp_source.xhtml#l00029">ArmnnPreparedModel.hpp:29</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and a mutable backing store. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00319">Tensor.hpp:319</a></div></div> +<div class="ttc" id="classarmnn_1_1_const_tensor_xhtml"><div class="ttname"><a href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and an immutable backing store. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00327">Tensor.hpp:327</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a8f091a512915d1cb29a4ebf13dfc53ea"><div class="ttname"><a href="namespacearmnn.xhtml#a8f091a512915d1cb29a4ebf13dfc53ea">armnn::OutputTensors</a></div><div class="ttdeci">std::vector< std::pair< LayerBindingId, class Tensor > > OutputTensors</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00393">Tensor.hpp:393</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_runtime_xhtml_a5dccecd36bb6eda573be616face68035"><div class="ttname"><a href="classarmnn_1_1_i_runtime.xhtml#a5dccecd36bb6eda573be616face68035">armnn::IRuntime::GetOutputTensorInfo</a></div><div class="ttdeci">TensorInfo GetOutputTensorInfo(NetworkId networkId, LayerBindingId layerId) const</div><div class="ttdef"><b>Definition:</b> <a href="_runtime_8cpp_source.xhtml#l00084">Runtime.cpp:84</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8ffca1e21bdfa7f945617acd606aac91"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8ffca1e21bdfa7f945617acd606aac91">armnn::TensorInfo::SetConstant</a></div><div class="ttdeci">void SetConstant(const bool IsConstant=true)</div><div class="ttdoc">Marks the data corresponding to this tensor info as constant. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00514">Tensor.cpp:514</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="ac88833eb361390437abc2a81ab43d04a"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ac88833eb361390437abc2a81ab43d04a">◆ </a></span>GetModelPriority()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">Priority GetModelPriority </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_armnn_prepared_model_8cpp_source.xhtml#l00472">472</a> of file <a class="el" href="_armnn_prepared_model_8cpp_source.xhtml">ArmnnPreparedModel.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00473"></a><span class="lineno"> 473</span> {</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  <span class="keywordflow">return</span> m_ModelPriority;</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a0481f4c1ca5608339a5688daf256a4e4"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a0481f4c1ca5608339a5688daf256a4e4">◆ </a></span>getUnderlyingResource()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">std::any getUnderlyingResource </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_armnn_prepared_model_8cpp_source.xhtml#l00606">606</a> of file <a class="el" href="_armnn_prepared_model_8cpp_source.xhtml">ArmnnPreparedModel.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_canonical_utils_8cpp_source.xhtml#l00217">armnn_driver::DumpTensor()</a>.</p> +<div class="fragment"><div class="line"><a name="l00607"></a><span class="lineno"> 607</span> {</div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  <span class="keywordflow">return</span> &m_Model;</div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span> }</div></div><!-- fragment --> +</div> +</div> +<hr/>The documentation for this class was generated from the following files:<ul> +<li>shim/sl/canonical/<a class="el" href="_armnn_prepared_model_8hpp_source.xhtml">ArmnnPreparedModel.hpp</a></li> +<li>shim/sl/canonical/<a class="el" href="_armnn_prepared_model_8cpp_source.xhtml">ArmnnPreparedModel.cpp</a></li> +</ul> +</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="namespacearmnn__driver.xhtml">armnn_driver</a></li><li class="navelem"><a class="el" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml">ArmnnPreparedModel</a></li> + <li class="footer">Generated on Wed Nov 23 2022 10:57:43 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> |