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<!-- Copyright (c) 2020 ARM Limited. -->
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<a href="#pub-types">Public Types</a> |
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<div class="title">LoadedNetwork Class Reference</div> </div>
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<p><code>#include <<a class="el" href="_loaded_network_8hpp_source.xhtml">LoadedNetwork.hpp</a>></code></p>
<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-types"></a>
Public Types</h2></td></tr>
<tr class="memitem:a48fe2df41d914c38c913160956acc706"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_loaded_network.xhtml#a48fe2df41d914c38c913160956acc706">WorkloadQueue</a> = std::vector< std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > ></td></tr>
<tr class="separator:a48fe2df41d914c38c913160956acc706"><td class="memSeparator" colspan="2"> </td></tr>
</table><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:a1bf130efa381d53486c78ea417ea4db1"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_loaded_network.xhtml#a1bf130efa381d53486c78ea417ea4db1">~LoadedNetwork</a> ()</td></tr>
<tr class="separator:a1bf130efa381d53486c78ea417ea4db1"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a16e72675c37a8f251cf02951e222d4ab"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1experimental_1_1_i_working_mem_handle.xhtml">IWorkingMemHandle</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_loaded_network.xhtml#a16e72675c37a8f251cf02951e222d4ab">CreateWorkingMemHandle</a> (<a class="el" href="namespacearmnn.xhtml#a0d8160388a127c1a23b37bc88dc6e2ec">NetworkId</a> networkId)</td></tr>
<tr class="memdesc:a16e72675c37a8f251cf02951e222d4ab"><td class="mdescLeft"> </td><td class="mdescRight">Create a new unique WorkingMemHandle object. <a href="#a16e72675c37a8f251cf02951e222d4ab">More...</a><br /></td></tr>
<tr class="separator:a16e72675c37a8f251cf02951e222d4ab"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:af616683424cb40d83b5a923db7f06f11"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_loaded_network.xhtml#af616683424cb40d83b5a923db7f06f11">GetInputTensorInfo</a> (<a class="el" href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">LayerBindingId</a> layerId) const</td></tr>
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<tr class="memitem:a2b6b57945bc68f659e08d28c8a015e91"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_loaded_network.xhtml#a2b6b57945bc68f659e08d28c8a015e91">GetOutputTensorInfo</a> (<a class="el" href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">LayerBindingId</a> layerId) const</td></tr>
<tr class="separator:a2b6b57945bc68f659e08d28c8a015e91"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a878c3febb600fd2ccf3b5cb1f9a61e27"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">Status</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_loaded_network.xhtml#a878c3febb600fd2ccf3b5cb1f9a61e27">EnqueueWorkload</a> (const <a class="el" href="namespacearmnn.xhtml#aa01bce88f89975a5a031db4cc8861527">InputTensors</a> &inputTensors, const <a class="el" href="namespacearmnn.xhtml#a8f091a512915d1cb29a4ebf13dfc53ea">OutputTensors</a> &outputTensors)</td></tr>
<tr class="memdesc:a878c3febb600fd2ccf3b5cb1f9a61e27"><td class="mdescLeft"> </td><td class="mdescRight">Single thread execution of the loaded network. <a href="#a878c3febb600fd2ccf3b5cb1f9a61e27">More...</a><br /></td></tr>
<tr class="separator:a878c3febb600fd2ccf3b5cb1f9a61e27"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:aaedc133d26fe9a55f6565c8c47d5a8f9"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">Status</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_loaded_network.xhtml#aaedc133d26fe9a55f6565c8c47d5a8f9">Execute</a> (const <a class="el" href="namespacearmnn.xhtml#aa01bce88f89975a5a031db4cc8861527">InputTensors</a> &inputTensors, const <a class="el" href="namespacearmnn.xhtml#a8f091a512915d1cb29a4ebf13dfc53ea">OutputTensors</a> &outputTensors, <a class="el" href="classarmnn_1_1experimental_1_1_i_working_mem_handle.xhtml">IWorkingMemHandle</a> &workingMemHandle)</td></tr>
<tr class="memdesc:aaedc133d26fe9a55f6565c8c47d5a8f9"><td class="mdescLeft"> </td><td class="mdescRight">Thread safe execution of the loaded network. <a href="#aaedc133d26fe9a55f6565c8c47d5a8f9">More...</a><br /></td></tr>
<tr class="separator:aaedc133d26fe9a55f6565c8c47d5a8f9"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:aee8e1cb09e0d4dcbe64df111c5edd55e"><td class="memItemLeft" align="right" valign="top">const std::shared_ptr< <a class="el" href="classarmnn_1_1_i_profiler.xhtml">IProfiler</a> > & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_loaded_network.xhtml#aee8e1cb09e0d4dcbe64df111c5edd55e">GetProfiler</a> () const</td></tr>
<tr class="separator:aee8e1cb09e0d4dcbe64df111c5edd55e"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:aaf8558a23ae9be6e7ea165989f1fa808"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_loaded_network.xhtml#aaf8558a23ae9be6e7ea165989f1fa808">FreeWorkingMemory</a> ()</td></tr>
<tr class="separator:aaf8558a23ae9be6e7ea165989f1fa808"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a091ea8d2d804c8902f3120fdf2a36512"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_loaded_network.xhtml#a091ea8d2d804c8902f3120fdf2a36512">RegisterDebugCallback</a> (const <a class="el" href="namespacearmnn.xhtml#a15f3ad9b5e4e3d46b0a6dda246a7bc28">DebugCallbackFunction</a> &func)</td></tr>
<tr class="separator:a091ea8d2d804c8902f3120fdf2a36512"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a23e33c3caadba06bcd5b50dc2c23c19e"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_loaded_network.xhtml#a23e33c3caadba06bcd5b50dc2c23c19e">SendNetworkStructure</a> ()</td></tr>
<tr class="separator:a23e33c3caadba06bcd5b50dc2c23c19e"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a390c87e27deac4f51af9533053b2ee14"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_loaded_network.xhtml#a390c87e27deac4f51af9533053b2ee14">IsAsyncEnabled</a> ()</td></tr>
<tr class="separator:a390c87e27deac4f51af9533053b2ee14"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ac8be6c967db9e797ade32fa3db497422"><td class="memItemLeft" align="right" valign="top">profiling::ProfilingGuid </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_loaded_network.xhtml#ac8be6c967db9e797ade32fa3db497422">GetNetworkGuid</a> ()</td></tr>
<tr class="separator:ac8be6c967db9e797ade32fa3db497422"><td class="memSeparator" colspan="2"> </td></tr>
</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-static-methods"></a>
Static Public Member Functions</h2></td></tr>
<tr class="memitem:a8e94a5375ad367ddee9c69e04e110a54"><td class="memItemLeft" align="right" valign="top">static std::unique_ptr< <a class="el" href="classarmnn_1_1_loaded_network.xhtml">LoadedNetwork</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_loaded_network.xhtml#a8e94a5375ad367ddee9c69e04e110a54">MakeLoadedNetwork</a> (std::unique_ptr< <a class="el" href="classarmnn_1_1_i_optimized_network.xhtml">IOptimizedNetwork</a> > net, std::string &errorMessage, const <a class="el" href="structarmnn_1_1_i_network_properties.xhtml">INetworkProperties</a> &networkProperties, <a class="el" href="classarmnn_1_1profiling_1_1_profiling_service.xhtml">profiling::ProfilingService</a> &profilingService)</td></tr>
<tr class="separator:a8e94a5375ad367ddee9c69e04e110a54"><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="_loaded_network_8hpp_source.xhtml#l00035">35</a> of file <a class="el" href="_loaded_network_8hpp_source.xhtml">LoadedNetwork.hpp</a>.</p>
</div><h2 class="groupheader">Member Typedef Documentation</h2>
<a id="a48fe2df41d914c38c913160956acc706"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a48fe2df41d914c38c913160956acc706">◆ </a></span>WorkloadQueue</h2>
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<td class="memname">using <a class="el" href="classarmnn_1_1_loaded_network.xhtml#a48fe2df41d914c38c913160956acc706">WorkloadQueue</a> = std::vector<std::unique_ptr<<a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a>> ></td>
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</div><div class="memdoc">
<p class="definition">Definition at line <a class="el" href="_loaded_network_8hpp_source.xhtml#l00038">38</a> of file <a class="el" href="_loaded_network_8hpp_source.xhtml">LoadedNetwork.hpp</a>.</p>
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</div>
<h2 class="groupheader">Constructor & Destructor Documentation</h2>
<a id="a1bf130efa381d53486c78ea417ea4db1"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a1bf130efa381d53486c78ea417ea4db1">◆ </a></span>~LoadedNetwork()</h2>
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<td class="memname">~<a class="el" href="classarmnn_1_1_loaded_network.xhtml">LoadedNetwork</a> </td>
<td>(</td>
<td class="paramname"></td><td>)</td>
<td></td>
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<td class="mlabels-right">
<span class="mlabels"><span class="mlabel">inline</span></span> </td>
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<p class="definition">Definition at line <a class="el" href="_loaded_network_8hpp_source.xhtml#l00040">40</a> of file <a class="el" href="_loaded_network_8hpp_source.xhtml">LoadedNetwork.hpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  {</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <a class="code" href="classarmnn_1_1_loaded_network.xhtml#aaf8558a23ae9be6e7ea165989f1fa808">FreeWorkingMemory</a>();</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  }</div><div class="ttc" id="classarmnn_1_1_loaded_network_xhtml_aaf8558a23ae9be6e7ea165989f1fa808"><div class="ttname"><a href="classarmnn_1_1_loaded_network.xhtml#aaf8558a23ae9be6e7ea165989f1fa808">armnn::LoadedNetwork::FreeWorkingMemory</a></div><div class="ttdeci">void FreeWorkingMemory()</div><div class="ttdef"><b>Definition:</b> <a href="_loaded_network_8cpp_source.xhtml#l00781">LoadedNetwork.cpp:781</a></div></div>
</div><!-- fragment -->
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<h2 class="groupheader">Member Function Documentation</h2>
<a id="a16e72675c37a8f251cf02951e222d4ab"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a16e72675c37a8f251cf02951e222d4ab">◆ </a></span>CreateWorkingMemHandle()</h2>
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<td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1experimental_1_1_i_working_mem_handle.xhtml">IWorkingMemHandle</a> > CreateWorkingMemHandle </td>
<td>(</td>
<td class="paramtype"><a class="el" href="namespacearmnn.xhtml#a0d8160388a127c1a23b37bc88dc6e2ec">NetworkId</a> </td>
<td class="paramname"><em>networkId</em></td><td>)</td>
<td></td>
</tr>
</table>
</div><div class="memdoc">
<p>Create a new unique WorkingMemHandle object. </p>
<p>Create multiple handles if you wish to have overlapped Execution by calling this function from different threads. </p>
<p class="definition">Definition at line <a class="el" href="_loaded_network_8cpp_source.xhtml#l01107">1107</a> of file <a class="el" href="_loaded_network_8cpp_source.xhtml">LoadedNetwork.cpp</a>.</p>
<p class="reference">References <a class="el" href="classarmnn_1_1_i_tensor_handle.xhtml#a5cceed8b707a09bf27eb61f17acf8a88">ITensorHandle::Allocate()</a>, <a class="el" href="_assert_8hpp_source.xhtml#l00014">ARMNN_ASSERT</a>, <a class="el" href="_deprecated_8hpp_source.xhtml#l00033">ARMNN_NO_DEPRECATE_WARN_BEGIN</a>, <a class="el" href="_deprecated_8hpp_source.xhtml#l00034">ARMNN_NO_DEPRECATE_WARN_END</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">armnn::Constant</a>, <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">ITensorHandleFactory::CreateTensorHandle()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00269">Layer::GetBackendId()</a>, <a class="el" href="_tensor_handle_factory_registry_8cpp_source.xhtml#l00039">TensorHandleFactoryRegistry::GetFactory()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00322">Layer::GetGuid()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00237">Layer::GetInputSlots()</a>, <a class="el" href="_tensor_handle_factory_registry_8hpp_source.xhtml#l00048">TensorHandleFactoryRegistry::GetMemoryManagers()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00314">Layer::GetNumOutputSlots()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00238">Layer::GetOutputSlots()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00265">Layer::GetType()</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::Input</a>, <a class="el" href="include_2armnn_2backends_2_i_tensor_handle_factory_8hpp_source.xhtml#l00046">ITensorHandleFactory::LegacyFactoryId</a>, <a class="el" href="_working_mem_descriptor_8hpp_source.xhtml#l00020">WorkingMemDescriptor::m_Inputs</a>, <a class="el" href="_working_mem_descriptor_8hpp_source.xhtml#l00021">WorkingMemDescriptor::m_Outputs</a>, <a class="el" href="classarmnn_1_1_i_tensor_handle.xhtml#a04149d0f9b9c54c05e95693111490daf">ITensorHandle::Manage()</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9">armnn::MemImport</a>, and <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::Output</a>.</p>
<p class="reference">Referenced by <a class="el" href="_runtime_8cpp_source.xhtml#l00539">RuntimeImpl::CreateWorkingMemHandle()</a>.</p>
<div class="fragment"><div class="line"><a name="l01108"></a><span class="lineno"> 1108</span> {</div><div class="line"><a name="l01109"></a><span class="lineno"> 1109</span>  Graph& order = m_OptimizedNetwork->pOptimizedNetworkImpl->GetGraph();</div><div class="line"><a name="l01110"></a><span class="lineno"> 1110</span>  std::unordered_map<LayerGuid, std::vector<std::unique_ptr<ITensorHandle> > > tensorHandleMap;</div><div class="line"><a name="l01111"></a><span class="lineno"> 1111</span>  std::vector<WorkingMemDescriptor> workingMemDescriptors;</div><div class="line"><a name="l01112"></a><span class="lineno"> 1112</span>  std::unordered_map<LayerGuid, WorkingMemDescriptor> workingMemDescriptorMap;</div><div class="line"><a name="l01113"></a><span class="lineno"> 1113</span>  TensorHandleFactoryRegistry tensorHandleFactoryRegistry;</div><div class="line"><a name="l01114"></a><span class="lineno"> 1114</span>  WorkloadFactoryMap workloadFactoryMap;</div><div class="line"><a name="l01115"></a><span class="lineno"> 1115</span> </div><div class="line"><a name="l01116"></a><span class="lineno"> 1116</span>  std::vector<std::shared_ptr<IMemoryManager>> memoryManagers;</div><div class="line"><a name="l01117"></a><span class="lineno"> 1117</span> </div><div class="line"><a name="l01118"></a><span class="lineno"> 1118</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> <span class="keyword">const</span>& backend : m_Backends)</div><div class="line"><a name="l01119"></a><span class="lineno"> 1119</span>  {</div><div class="line"><a name="l01120"></a><span class="lineno"> 1120</span>  <span class="keywordflow">if</span> (backend.second->SupportsTensorAllocatorAPI())</div><div class="line"><a name="l01121"></a><span class="lineno"> 1121</span>  {</div><div class="line"><a name="l01122"></a><span class="lineno"> 1122</span>  backend.second->RegisterTensorHandleFactories(</div><div class="line"><a name="l01123"></a><span class="lineno"> 1123</span>  tensorHandleFactoryRegistry,</div><div class="line"><a name="l01124"></a><span class="lineno"> 1124</span>  static_cast<MemorySourceFlags>(m_NetworkProperties.<a class="code" href="structarmnn_1_1_i_network_properties.xhtml#a53d95b257e52b0fd292ba6d40d3c5dc3">m_InputSource</a>),</div><div class="line"><a name="l01125"></a><span class="lineno"> 1125</span>  static_cast<MemorySourceFlags>(m_NetworkProperties.<a class="code" href="structarmnn_1_1_i_network_properties.xhtml#a3266436db920d1ca96b0afaadacf3972">m_OutputSource</a>));</div><div class="line"><a name="l01126"></a><span class="lineno"> 1126</span>  memoryManagers.emplace_back(tensorHandleFactoryRegistry.GetMemoryManagers().back());</div><div class="line"><a name="l01127"></a><span class="lineno"> 1127</span>  }</div><div class="line"><a name="l01128"></a><span class="lineno"> 1128</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l01129"></a><span class="lineno"> 1129</span>  {</div><div class="line"><a name="l01130"></a><span class="lineno"> 1130</span>  std::shared_ptr<IMemoryManager> memoryManager = backend.second->CreateMemoryManager();</div><div class="line"><a name="l01131"></a><span class="lineno"> 1131</span>  <span class="keyword">auto</span> workloadFactory = backend.second->CreateWorkloadFactory(</div><div class="line"><a name="l01132"></a><span class="lineno"> 1132</span>  memoryManager, m_OptimizedNetwork->pOptimizedNetworkImpl->GetModelOptions());</div><div class="line"><a name="l01133"></a><span class="lineno"> 1133</span> </div><div class="line"><a name="l01134"></a><span class="lineno"> 1134</span>  workloadFactoryMap.emplace(</div><div class="line"><a name="l01135"></a><span class="lineno"> 1135</span>  std::make_pair(backend.first, std::make_pair(std::move(workloadFactory), memoryManager)));</div><div class="line"><a name="l01136"></a><span class="lineno"> 1136</span>  memoryManagers.emplace_back(memoryManager);</div><div class="line"><a name="l01137"></a><span class="lineno"> 1137</span>  }</div><div class="line"><a name="l01138"></a><span class="lineno"> 1138</span>  }</div><div class="line"><a name="l01139"></a><span class="lineno"> 1139</span> </div><div class="line"><a name="l01140"></a><span class="lineno"> 1140</span>  <span class="keyword">auto</span> GetTensorHandle = [&](<a class="code" href="namespacearmnn_serializer.xhtml#a9a8118be7780e95363d631cbca7e7800">Layer</a>* layer, <span class="keyword">const</span> OutputSlot& outputSlot, <span class="keywordtype">bool</span> isMemoryManaged)</div><div class="line"><a name="l01141"></a><span class="lineno"> 1141</span>  {</div><div class="line"><a name="l01142"></a><span class="lineno"> 1142</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a32f4aa6a7089d877af08928139c2c277">ITensorHandleFactory::FactoryId</a> factoryId = outputSlot.GetTensorHandleFactoryId();</div><div class="line"><a name="l01143"></a><span class="lineno"> 1143</span>  <span class="keyword">const</span> TensorInfo& tensorInfo = outputSlot.GetTensorInfo();</div><div class="line"><a name="l01144"></a><span class="lineno"> 1144</span> </div><div class="line"><a name="l01145"></a><span class="lineno"> 1145</span>  <span class="keywordflow">if</span> (factoryId == <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a9c95f90eb40e31f629e0e2947b8bc6f9">ITensorHandleFactory::LegacyFactoryId</a>)</div><div class="line"><a name="l01146"></a><span class="lineno"> 1146</span>  {</div><div class="line"><a name="l01147"></a><span class="lineno"> 1147</span>  BackendId <span class="keywordtype">id</span> = layer->GetBackendId();</div><div class="line"><a name="l01148"></a><span class="lineno"> 1148</span>  <a class="code" href="_deprecated_8hpp.xhtml#ab66a241a0ed3ee89c866e777b035d0ed">ARMNN_NO_DEPRECATE_WARN_BEGIN</a></div><div class="line"><a name="l01149"></a><span class="lineno"> 1149</span>  <span class="keywordflow">return</span> workloadFactoryMap.at(<span class="keywordtype">id</span>).first->CreateTensorHandle(tensorInfo, isMemoryManaged);</div><div class="line"><a name="l01150"></a><span class="lineno"> 1150</span>  <a class="code" href="_deprecated_8hpp.xhtml#ad762b11b48e5c1d1c1743f529485728a">ARMNN_NO_DEPRECATE_WARN_END</a></div><div class="line"><a name="l01151"></a><span class="lineno"> 1151</span>  }</div><div class="line"><a name="l01152"></a><span class="lineno"> 1152</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l01153"></a><span class="lineno"> 1153</span>  {</div><div class="line"><a name="l01154"></a><span class="lineno"> 1154</span>  ITensorHandleFactory* handleFactory = tensorHandleFactoryRegistry.GetFactory(factoryId);</div><div class="line"><a name="l01155"></a><span class="lineno"> 1155</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(handleFactory);</div><div class="line"><a name="l01156"></a><span class="lineno"> 1156</span>  <span class="keywordflow">return</span> handleFactory->CreateTensorHandle(tensorInfo, isMemoryManaged);</div><div class="line"><a name="l01157"></a><span class="lineno"> 1157</span>  }</div><div class="line"><a name="l01158"></a><span class="lineno"> 1158</span>  };</div><div class="line"><a name="l01159"></a><span class="lineno"> 1159</span> </div><div class="line"><a name="l01160"></a><span class="lineno"> 1160</span>  std::unordered_map<const ITensorHandle*, unsigned int> handleReferenceCounts;</div><div class="line"><a name="l01161"></a><span class="lineno"> 1161</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& layer : order)</div><div class="line"><a name="l01162"></a><span class="lineno"> 1162</span>  {</div><div class="line"><a name="l01163"></a><span class="lineno"> 1163</span>  WorkingMemDescriptor workingMemDescriptor;</div><div class="line"><a name="l01164"></a><span class="lineno"> 1164</span> </div><div class="line"><a name="l01165"></a><span class="lineno"> 1165</span>  <span class="comment">// Constant layers execution and management is handled during loaded network construction</span></div><div class="line"><a name="l01166"></a><span class="lineno"> 1166</span>  <span class="keywordflow">if</span> (layer->GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">LayerType::Constant</a>)</div><div class="line"><a name="l01167"></a><span class="lineno"> 1167</span>  {</div><div class="line"><a name="l01168"></a><span class="lineno"> 1168</span>  <span class="keywordflow">continue</span>;</div><div class="line"><a name="l01169"></a><span class="lineno"> 1169</span>  }</div><div class="line"><a name="l01170"></a><span class="lineno"> 1170</span>  <span class="keywordtype">bool</span> isMemoryManaged = <span class="keyword">true</span>;</div><div class="line"><a name="l01171"></a><span class="lineno"> 1171</span>  <span class="keywordtype">bool</span> isInputLayer = <span class="keyword">true</span>;</div><div class="line"><a name="l01172"></a><span class="lineno"> 1172</span>  <span class="comment">// Look for the layer with 1 OutputSlot which has 1 connection and that connection is an Output Layer</span></div><div class="line"><a name="l01173"></a><span class="lineno"> 1173</span>  <span class="comment">// If Export is enabled disable memory management so we can export, otherwise we do a copy</span></div><div class="line"><a name="l01174"></a><span class="lineno"> 1174</span>  <span class="keywordflow">if</span> ((layer->GetNumOutputSlots() == 1) &&</div><div class="line"><a name="l01175"></a><span class="lineno"> 1175</span>  (layer->GetOutputSlots()[0].GetNumConnections() == 1) &&</div><div class="line"><a name="l01176"></a><span class="lineno"> 1176</span>  (layer->GetOutputSlots()[0].GetConnection(0)->GetOwningLayer().GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">LayerType::Output</a>))</div><div class="line"><a name="l01177"></a><span class="lineno"> 1177</span>  {</div><div class="line"><a name="l01178"></a><span class="lineno"> 1178</span>  isMemoryManaged = !m_NetworkProperties.<a class="code" href="structarmnn_1_1_i_network_properties.xhtml#a042fb9a87ffa70730766d19505d80490">m_ExportEnabled</a>;</div><div class="line"><a name="l01179"></a><span class="lineno"> 1179</span>  }</div><div class="line"><a name="l01180"></a><span class="lineno"> 1180</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (layer->GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">LayerType::Input</a> || layer->GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9">LayerType::MemImport</a>)</div><div class="line"><a name="l01181"></a><span class="lineno"> 1181</span>  {</div><div class="line"><a name="l01182"></a><span class="lineno"> 1182</span>  <span class="comment">// Input layers/workloads will not be executed so the descriptor is not added to workingMemDescriptors</span></div><div class="line"><a name="l01183"></a><span class="lineno"> 1183</span>  <span class="comment">// However we will still need to manage the tensorHandle</span></div><div class="line"><a name="l01184"></a><span class="lineno"> 1184</span>  isInputLayer = <span class="keyword">false</span>;</div><div class="line"><a name="l01185"></a><span class="lineno"> 1185</span>  isMemoryManaged = !m_NetworkProperties.<a class="code" href="structarmnn_1_1_i_network_properties.xhtml#a042fb9a87ffa70730766d19505d80490">m_ExportEnabled</a>;</div><div class="line"><a name="l01186"></a><span class="lineno"> 1186</span>  }</div><div class="line"><a name="l01187"></a><span class="lineno"> 1187</span> </div><div class="line"><a name="l01188"></a><span class="lineno"> 1188</span>  <span class="comment">// Create a tensor handle for each output slot of a layer</span></div><div class="line"><a name="l01189"></a><span class="lineno"> 1189</span>  <span class="comment">// Once we create it, we start managing its lifetime</span></div><div class="line"><a name="l01190"></a><span class="lineno"> 1190</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>& slot : layer->GetOutputSlots())</div><div class="line"><a name="l01191"></a><span class="lineno"> 1191</span>  {</div><div class="line"><a name="l01192"></a><span class="lineno"> 1192</span>  tensorHandleMap[layer->GetGuid()].emplace_back(GetTensorHandle(layer, slot, isMemoryManaged));</div><div class="line"><a name="l01193"></a><span class="lineno"> 1193</span>  ITensorHandle* tensorHandle = tensorHandleMap[layer->GetGuid()].back().get();</div><div class="line"><a name="l01194"></a><span class="lineno"> 1194</span> </div><div class="line"><a name="l01195"></a><span class="lineno"> 1195</span>  workingMemDescriptor.m_Outputs.push_back(tensorHandle);</div><div class="line"><a name="l01196"></a><span class="lineno"> 1196</span>  tensorHandle->Manage();</div><div class="line"><a name="l01197"></a><span class="lineno"> 1197</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numConnections = slot.GetNumConnections();</div><div class="line"><a name="l01198"></a><span class="lineno"> 1198</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(numConnections != 0);</div><div class="line"><a name="l01199"></a><span class="lineno"> 1199</span> </div><div class="line"><a name="l01200"></a><span class="lineno"> 1200</span>  handleReferenceCounts[tensorHandle] = numConnections;</div><div class="line"><a name="l01201"></a><span class="lineno"> 1201</span>  }</div><div class="line"><a name="l01202"></a><span class="lineno"> 1202</span>  <span class="comment">// Loop through the input slots in the same layer and decrement the reference counter associated</span></div><div class="line"><a name="l01203"></a><span class="lineno"> 1203</span>  <span class="comment">// to each tensor handle we encounter.</span></div><div class="line"><a name="l01204"></a><span class="lineno"> 1204</span>  <span class="comment">// Once it reaches zero, the lifetime of the tensor handle has ended, and we mark it's memory as available</span></div><div class="line"><a name="l01205"></a><span class="lineno"> 1205</span>  <span class="comment">// so that the next tensor handle with a non overlapping lifetime can share it's memory.</span></div><div class="line"><a name="l01206"></a><span class="lineno"> 1206</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>& slot : layer->GetInputSlots())</div><div class="line"><a name="l01207"></a><span class="lineno"> 1207</span>  {</div><div class="line"><a name="l01208"></a><span class="lineno"> 1208</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(slot.GetConnection());</div><div class="line"><a name="l01209"></a><span class="lineno"> 1209</span>  <span class="keyword">auto</span> outputSlot = slot.GetConnectedOutputSlot();</div><div class="line"><a name="l01210"></a><span class="lineno"> 1210</span>  <span class="keyword">auto</span> key = outputSlot->GetOwningLayer().GetGuid();</div><div class="line"><a name="l01211"></a><span class="lineno"> 1211</span> </div><div class="line"><a name="l01212"></a><span class="lineno"> 1212</span>  <span class="comment">// Constant layers execution and management is handled during loaded network construction</span></div><div class="line"><a name="l01213"></a><span class="lineno"> 1213</span>  <span class="keyword">auto</span> found = m_ConstantTensorHandles.find(key);</div><div class="line"><a name="l01214"></a><span class="lineno"> 1214</span>  <span class="keywordflow">if</span> (found != m_ConstantTensorHandles.end())</div><div class="line"><a name="l01215"></a><span class="lineno"> 1215</span>  {</div><div class="line"><a name="l01216"></a><span class="lineno"> 1216</span>  workingMemDescriptor.m_Inputs.push_back(found->second);</div><div class="line"><a name="l01217"></a><span class="lineno"> 1217</span>  <span class="keywordflow">continue</span>;</div><div class="line"><a name="l01218"></a><span class="lineno"> 1218</span>  }</div><div class="line"><a name="l01219"></a><span class="lineno"> 1219</span> </div><div class="line"><a name="l01220"></a><span class="lineno"> 1220</span>  <span class="keyword">auto</span> search = tensorHandleMap.find(key);</div><div class="line"><a name="l01221"></a><span class="lineno"> 1221</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> index = outputSlot->CalculateIndexOnOwner();</div><div class="line"><a name="l01222"></a><span class="lineno"> 1222</span>  ITensorHandle* inputTensorHandle = search->second[index].get();</div><div class="line"><a name="l01223"></a><span class="lineno"> 1223</span>  workingMemDescriptor.m_Inputs.push_back(inputTensorHandle);</div><div class="line"><a name="l01224"></a><span class="lineno"> 1224</span>  --handleReferenceCounts.at(inputTensorHandle);</div><div class="line"><a name="l01225"></a><span class="lineno"> 1225</span>  <span class="keywordflow">if</span> (handleReferenceCounts.at(inputTensorHandle) == 0u)</div><div class="line"><a name="l01226"></a><span class="lineno"> 1226</span>  {</div><div class="line"><a name="l01227"></a><span class="lineno"> 1227</span>  <span class="comment">// Stop managing lifetime of tensor handle</span></div><div class="line"><a name="l01228"></a><span class="lineno"> 1228</span>  inputTensorHandle->Allocate();</div><div class="line"><a name="l01229"></a><span class="lineno"> 1229</span>  handleReferenceCounts.erase(inputTensorHandle);</div><div class="line"><a name="l01230"></a><span class="lineno"> 1230</span>  }</div><div class="line"><a name="l01231"></a><span class="lineno"> 1231</span>  }</div><div class="line"><a name="l01232"></a><span class="lineno"> 1232</span>  workingMemDescriptorMap.insert({layer->GetGuid(), workingMemDescriptor});</div><div class="line"><a name="l01233"></a><span class="lineno"> 1233</span> </div><div class="line"><a name="l01234"></a><span class="lineno"> 1234</span>  <span class="comment">// Input layers/workloads will not be executed, so the descriptor is not added to workingMemDescriptors</span></div><div class="line"><a name="l01235"></a><span class="lineno"> 1235</span>  <span class="comment">// However we will still need to manage the tensorHandle</span></div><div class="line"><a name="l01236"></a><span class="lineno"> 1236</span>  <span class="keywordflow">if</span> (isInputLayer)</div><div class="line"><a name="l01237"></a><span class="lineno"> 1237</span>  {</div><div class="line"><a name="l01238"></a><span class="lineno"> 1238</span>  workingMemDescriptors.push_back(workingMemDescriptor);</div><div class="line"><a name="l01239"></a><span class="lineno"> 1239</span>  }</div><div class="line"><a name="l01240"></a><span class="lineno"> 1240</span>  }</div><div class="line"><a name="l01241"></a><span class="lineno"> 1241</span> </div><div class="line"><a name="l01242"></a><span class="lineno"> 1242</span>  <span class="keywordflow">return</span> std::make_unique<WorkingMemHandle>(networkId,</div><div class="line"><a name="l01243"></a><span class="lineno"> 1243</span>  workingMemDescriptors,</div><div class="line"><a name="l01244"></a><span class="lineno"> 1244</span>  workingMemDescriptorMap,</div><div class="line"><a name="l01245"></a><span class="lineno"> 1245</span>  memoryManagers,</div><div class="line"><a name="l01246"></a><span class="lineno"> 1246</span>  std::move(tensorHandleMap));</div><div class="line"><a name="l01247"></a><span class="lineno"> 1247</span> }</div><div class="ttc" id="structarmnn_1_1_i_network_properties_xhtml_a53d95b257e52b0fd292ba6d40d3c5dc3"><div class="ttname"><a href="structarmnn_1_1_i_network_properties.xhtml#a53d95b257e52b0fd292ba6d40d3c5dc3">armnn::INetworkProperties::m_InputSource</a></div><div class="ttdeci">const MemorySource m_InputSource</div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.xhtml#l00090">IRuntime.hpp:90</a></div></div>
<div class="ttc" id="_deprecated_8hpp_xhtml_ab66a241a0ed3ee89c866e777b035d0ed"><div class="ttname"><a href="_deprecated_8hpp.xhtml#ab66a241a0ed3ee89c866e777b035d0ed">ARMNN_NO_DEPRECATE_WARN_BEGIN</a></div><div class="ttdeci">#define ARMNN_NO_DEPRECATE_WARN_BEGIN</div><div class="ttdef"><b>Definition:</b> <a href="_deprecated_8hpp_source.xhtml#l00033">Deprecated.hpp:33</a></div></div>
<div class="ttc" id="namespacearmnn_serializer_xhtml_a9a8118be7780e95363d631cbca7e7800"><div class="ttname"><a href="namespacearmnn_serializer.xhtml#a9a8118be7780e95363d631cbca7e7800">armnnSerializer::Layer</a></div><div class="ttdeci">Layer</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_schema__generated_8h_source.xhtml#l01174">ArmnnSchema_generated.h:1174</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::LayerType::Output</a></div></div>
<div class="ttc" id="_deprecated_8hpp_xhtml_ad762b11b48e5c1d1c1743f529485728a"><div class="ttname"><a href="_deprecated_8hpp.xhtml#ad762b11b48e5c1d1c1743f529485728a">ARMNN_NO_DEPRECATE_WARN_END</a></div><div class="ttdeci">#define ARMNN_NO_DEPRECATE_WARN_END</div><div class="ttdef"><b>Definition:</b> <a href="_deprecated_8hpp_source.xhtml#l00034">Deprecated.hpp:34</a></div></div>
<div class="ttc" id="structarmnn_1_1_i_network_properties_xhtml_a042fb9a87ffa70730766d19505d80490"><div class="ttname"><a href="structarmnn_1_1_i_network_properties.xhtml#a042fb9a87ffa70730766d19505d80490">armnn::INetworkProperties::m_ExportEnabled</a></div><div class="ttdeci">const bool m_ExportEnabled</div><div class="ttdoc">Deprecated and will be removed in future release. </div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.xhtml#l00082">IRuntime.hpp:82</a></div></div>
<div class="ttc" id="_assert_8hpp_xhtml_a5698be69cbd5dfe6c28fcd9867e8cbed"><div class="ttname"><a href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a></div><div class="ttdeci">#define ARMNN_ASSERT(COND)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.xhtml#l00014">Assert.hpp:14</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">armnn::LayerType::Constant</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9">armnn::LayerType::MemImport</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::LayerType::Input</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_tensor_handle_factory_xhtml_a32f4aa6a7089d877af08928139c2c277"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a32f4aa6a7089d877af08928139c2c277">armnn::ITensorHandleFactory::FactoryId</a></div><div class="ttdeci">std::string FactoryId</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_factory_8hpp_source.xhtml#l00045">ITensorHandleFactory.hpp:45</a></div></div>
<div class="ttc" id="structarmnn_1_1_i_network_properties_xhtml_a3266436db920d1ca96b0afaadacf3972"><div class="ttname"><a href="structarmnn_1_1_i_network_properties.xhtml#a3266436db920d1ca96b0afaadacf3972">armnn::INetworkProperties::m_OutputSource</a></div><div class="ttdeci">const MemorySource m_OutputSource</div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.xhtml#l00091">IRuntime.hpp:91</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_tensor_handle_factory_xhtml_a9c95f90eb40e31f629e0e2947b8bc6f9"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a9c95f90eb40e31f629e0e2947b8bc6f9">armnn::ITensorHandleFactory::LegacyFactoryId</a></div><div class="ttdeci">static const FactoryId LegacyFactoryId</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_factory_8hpp_source.xhtml#l00046">ITensorHandleFactory.hpp:46</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#a878c3febb600fd2ccf3b5cb1f9a61e27">◆ </a></span>EnqueueWorkload()</h2>
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<td class="memname"><a class="el" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">Status</a> EnqueueWorkload </td>
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<td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#aa01bce88f89975a5a031db4cc8861527">InputTensors</a> & </td>
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<td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#a8f091a512915d1cb29a4ebf13dfc53ea">OutputTensors</a> & </td>
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<p>Single thread execution of the loaded network. </p>
<p class="definition">Definition at line <a class="el" href="_loaded_network_8cpp_source.xhtml#l00525">525</a> of file <a class="el" href="_loaded_network_8cpp_source.xhtml">LoadedNetwork.cpp</a>.</p>
<p class="reference">References <a class="el" href="_assert_8hpp_source.xhtml#l00015">ARMNN_ASSERT_MSG</a>, <a class="el" href="_logging_8hpp_source.xhtml#l00202">ARMNN_LOG</a>, <a class="el" href="_heap_profiling_8hpp_source.xhtml#l00045">ARMNN_SCOPED_HEAP_PROFILING</a>, <a class="el" href="_profiling_8hpp_source.xhtml#l00219">ARMNN_SCOPED_PROFILING_EVENT</a>, <a class="el" href="_memory_sources_8hpp_source.xhtml#l00041">armnn::CheckFlag()</a>, <a class="el" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70bae139a585510a502bbf1841cf589f5086">armnn::Failure</a>, <a class="el" href="include_2armnn_2backends_2_i_tensor_handle_8hpp_source.xhtml#l00069">ITensorHandle::GetImportFlags()</a>, <a class="el" href="_graph_8hpp_source.xhtml#l00185">Graph::GetInputLayers()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00237">Layer::GetInputSlots()</a>, <a class="el" href="_graph_8hpp_source.xhtml#l00180">Graph::GetNumInputs()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00313">Layer::GetNumInputSlots()</a>, <a class="el" href="_graph_8hpp_source.xhtml#l00191">Graph::GetNumLayers()</a>, <a class="el" href="_graph_8hpp_source.xhtml#l00181">Graph::GetNumOutputs()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00314">Layer::GetNumOutputSlots()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00225">Layer::GetOutputHandler()</a>, <a class="el" href="_graph_8hpp_source.xhtml#l00189">Graph::GetOutputLayers()</a>, <a class="el" href="_timeline_utility_methods_8cpp_source.xhtml#l00018">TimelineUtilityMethods::GetTimelineUtils()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00265">Layer::GetType()</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="include_2armnn_2backends_2_i_tensor_handle_8hpp_source.xhtml#l00075">ITensorHandle::Import()</a>, <a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::Input</a>, <a class="el" href="_workload_data_8hpp_source.xhtml#l00030">QueueDescriptor::m_Inputs</a>, <a class="el" href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00018">WorkloadInfo::m_InputTensorInfos</a>, <a class="el" href="_workload_data_8hpp_source.xhtml#l00031">QueueDescriptor::m_Outputs</a>, <a class="el" href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00019">WorkloadInfo::m_OutputTensorInfos</a>, <a class="el" href="classarmnn_1_1_i_tensor_handle.xhtml#a9afbc055a017adf1bc38ee137bca6e90">ITensorHandle::Map()</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::Output</a>, <a class="el" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">armnn::Success</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">armnn::Undefined</a>, <a class="el" href="classarmnn_1_1_i_tensor_handle.xhtml#a563609828050f1b3a7868c23f3365923">ITensorHandle::Unmap()</a>, and <a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407a7b83d3f08fa392b79e3f553b585971cd">armnn::warning</a>.</p>
<p class="reference">Referenced by <a class="el" href="_runtime_8cpp_source.xhtml#l00480">RuntimeImpl::EnqueueWorkload()</a>.</p>
<div class="fragment"><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>  <span class="keyword">const</span> Graph& graph = m_OptimizedNetwork->pOptimizedNetworkImpl->GetGraph();</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span> </div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  <span class="comment">// Walk graph to determine the order of execution.</span></div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  <span class="keywordflow">if</span> (graph.GetNumLayers() < 2)</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>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407a7b83d3f08fa392b79e3f553b585971cd">warning</a>) << <span class="stringliteral">"IRuntime::EnqueueWorkload()::Less than two nodes in graph"</span>;</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70bae139a585510a502bbf1841cf589f5086">Status::Failure</a>;</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  }</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="comment">// Data that must be kept alive for the entire execution of the workload.</span></div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  WorkloadData workloadData(inputTensors, outputTensors);</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span> </div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  <span class="keywordflow">if</span> (graph.GetNumInputs() != inputTensors.size())</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  {</div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">"Number of inputs provided does not match network."</span>);</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> </div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  <span class="comment">// For each input to the network, call EnqueueInput with the data passed by the user.</span></div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  {</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  <a class="code" href="_profiling_8hpp.xhtml#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Compute::Undefined</a>, <span class="stringliteral">"PrepareInputs"</span>);</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  m_InputQueue.clear();</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  m_InputQueue.reserve(graph.GetNumInputs());</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> BindableLayer* inputLayer : graph.GetInputLayers())</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  {</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  <span class="keyword">const</span> TensorPin& pin = workloadData.GetInputTensorPin(inputLayer->GetBindingId());</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  EnqueueInput(*inputLayer, pin.GetTensorHandle(), pin.GetTensorInfo());</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  }</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  }</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span> </div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  <span class="comment">// For each output to the network, call EnqueueOutput with the data passed by the user.</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>  <a class="code" href="_profiling_8hpp.xhtml#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Compute::Undefined</a>, <span class="stringliteral">"PrepareOutputs"</span>);</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  m_OutputQueue.clear();</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  m_OutputQueue.reserve(graph.GetNumOutputs());</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> BindableLayer* outputLayer : graph.GetOutputLayers())</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  {</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  <span class="keyword">const</span> TensorPin& pin = workloadData.GetOutputTensorPin(outputLayer->GetBindingId());</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  EnqueueOutput(*outputLayer, pin.GetTensorHandle(), pin.GetTensorInfo());</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  }</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> </div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  std::unique_ptr<TimelineUtilityMethods> timelineUtils =</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  <a class="code" href="classarmnn_1_1profiling_1_1_timeline_utility_methods.xhtml#a0e5c863245b8d7dc5e874c0c66eebae1">TimelineUtilityMethods::GetTimelineUtils</a>(m_ProfilingService);</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  ProfilingGuid inferenceGuid = m_ProfilingService.<a class="code" href="classarmnn_1_1profiling_1_1_profiling_service.xhtml#ad6a0ab3d6679dded1eb2e1838becf79e">GetNextGuid</a>();</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  <span class="keywordflow">if</span> (timelineUtils)</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  {</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  <span class="comment">// Add inference timeline trace if profiling is enabled.</span></div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  ProfilingGuid networkGuid = m_OptimizedNetwork->GetGuid();</div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  timelineUtils->CreateTypedEntity(inferenceGuid, LabelsAndEventClasses::INFERENCE_GUID);</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  timelineUtils->CreateRelationship(ProfilingRelationshipType::RetentionLink,</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  networkGuid,</div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  inferenceGuid,</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  LabelsAndEventClasses::EXECUTION_OF_GUID);</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  timelineUtils->RecordEvent(inferenceGuid, LabelsAndEventClasses::ARMNN_PROFILING_SOL_EVENT_CLASS);</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> </div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  <span class="keywordtype">bool</span> executionSucceeded = <span class="keyword">true</span>;</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span> </div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  {</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  <span class="keywordflow">if</span> (m_ProfilingService.<a class="code" href="classarmnn_1_1profiling_1_1_profiling_service.xhtml#a70db5b1cdd0d22c1fa912c6e8b9089ce">IsProfilingEnabled</a>())</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  {</div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  m_ProfilingService.<a class="code" href="classarmnn_1_1profiling_1_1_profiling_service.xhtml#a6c2d955d387944f5b7ad37ebb435a37f">IncrementCounterValue</a>(armnn::profiling::INFERENCES_RUN);</div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  }</div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  <a class="code" href="_profiling_8hpp.xhtml#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Compute::Undefined</a>, <span class="stringliteral">"Execute"</span>);</div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  <a class="code" href="_heap_profiling_8hpp.xhtml#aeeb927880fc4ffc2eea754a67d884a53">ARMNN_SCOPED_HEAP_PROFILING</a>(<span class="stringliteral">"Executing"</span>);</div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  executionSucceeded = <a class="code" href="classarmnn_1_1_loaded_network.xhtml#aaedc133d26fe9a55f6565c8c47d5a8f9">Execute</a>(timelineUtils, inferenceGuid);</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  }</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span> </div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  <span class="keywordflow">if</span> (timelineUtils)</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  {</div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  <span class="comment">// Add end of life of the inference timeline if profiling is enabled.</span></div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  timelineUtils->RecordEvent(inferenceGuid, LabelsAndEventClasses::ARMNN_PROFILING_EOL_EVENT_CLASS);</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  timelineUtils->Commit();</div><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="keywordflow">return</span> executionSucceeded ? <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">Status::Success</a> : <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70bae139a585510a502bbf1841cf589f5086">Status::Failure</a>;</div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span> }</div><div class="ttc" id="classarmnn_1_1profiling_1_1_timeline_utility_methods_xhtml_a0e5c863245b8d7dc5e874c0c66eebae1"><div class="ttname"><a href="classarmnn_1_1profiling_1_1_timeline_utility_methods.xhtml#a0e5c863245b8d7dc5e874c0c66eebae1">armnn::profiling::TimelineUtilityMethods::GetTimelineUtils</a></div><div class="ttdeci">static std::unique_ptr< TimelineUtilityMethods > GetTimelineUtils(ProfilingService &profilingService)</div><div class="ttdef"><b>Definition:</b> <a href="_timeline_utility_methods_8cpp_source.xhtml#l00018">TimelineUtilityMethods.cpp:18</a></div></div>
<div class="ttc" id="_logging_8hpp_xhtml_a7b6ad073975f437ec38ca7d20154727f"><div class="ttname"><a href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a></div><div class="ttdeci">#define ARMNN_LOG(severity)</div><div class="ttdef"><b>Definition:</b> <a href="_logging_8hpp_source.xhtml#l00202">Logging.hpp:202</a></div></div>
<div class="ttc" id="classarmnn_1_1profiling_1_1_profiling_service_xhtml_a6c2d955d387944f5b7ad37ebb435a37f"><div class="ttname"><a href="classarmnn_1_1profiling_1_1_profiling_service.xhtml#a6c2d955d387944f5b7ad37ebb435a37f">armnn::profiling::ProfilingService::IncrementCounterValue</a></div><div class="ttdeci">uint32_t IncrementCounterValue(uint16_t counterUid) override</div><div class="ttdef"><b>Definition:</b> <a href="_profiling_service_8cpp_source.xhtml#l00311">ProfilingService.cpp:311</a></div></div>
<div class="ttc" id="_profiling_8hpp_xhtml_a5ccc65e2c464ac05ce311fdae7ede03a"><div class="ttname"><a href="_profiling_8hpp.xhtml#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT(backendId, name)</div><div class="ttdef"><b>Definition:</b> <a href="_profiling_8hpp_source.xhtml#l00219">Profiling.hpp:219</a></div></div>
<div class="ttc" id="classarmnn_1_1_loaded_network_xhtml_aaedc133d26fe9a55f6565c8c47d5a8f9"><div class="ttname"><a href="classarmnn_1_1_loaded_network.xhtml#aaedc133d26fe9a55f6565c8c47d5a8f9">armnn::LoadedNetwork::Execute</a></div><div class="ttdeci">Status Execute(const InputTensors &inputTensors, const OutputTensors &outputTensors, IWorkingMemHandle &workingMemHandle)</div><div class="ttdoc">Thread safe execution of the loaded network. </div><div class="ttdef"><b>Definition:</b> <a href="_loaded_network_8cpp_source.xhtml#l01003">LoadedNetwork.cpp:1003</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_a4dc0adc6737b5944e7671bee71788407a7b83d3f08fa392b79e3f553b585971cd"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407a7b83d3f08fa392b79e3f553b585971cd">armnn::BoostLogSeverityMapping::warning</a></div></div>
<div class="ttc" id="_heap_profiling_8hpp_xhtml_aeeb927880fc4ffc2eea754a67d884a53"><div class="ttname"><a href="_heap_profiling_8hpp.xhtml#aeeb927880fc4ffc2eea754a67d884a53">ARMNN_SCOPED_HEAP_PROFILING</a></div><div class="ttdeci">#define ARMNN_SCOPED_HEAP_PROFILING(TAG)</div><div class="ttdef"><b>Definition:</b> <a href="_heap_profiling_8hpp_source.xhtml#l00045">HeapProfiling.hpp:45</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360"><div class="ttname"><a href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">armnn::Compute::Undefined</a></div></div>
<div class="ttc" id="classarmnn_1_1profiling_1_1_profiling_service_xhtml_a70db5b1cdd0d22c1fa912c6e8b9089ce"><div class="ttname"><a href="classarmnn_1_1profiling_1_1_profiling_service.xhtml#a70db5b1cdd0d22c1fa912c6e8b9089ce">armnn::profiling::ProfilingService::IsProfilingEnabled</a></div><div class="ttdeci">bool IsProfilingEnabled() const override</div><div class="ttdef"><b>Definition:</b> <a href="_profiling_service_8cpp_source.xhtml#l00057">ProfilingService.cpp:57</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a67a0db04d321a74b7e7fcfd3f1a3f70bae139a585510a502bbf1841cf589f5086"><div class="ttname"><a href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70bae139a585510a502bbf1841cf589f5086">armnn::Status::Failure</a></div></div>
<div class="ttc" id="classarmnn_1_1profiling_1_1_profiling_service_xhtml_ad6a0ab3d6679dded1eb2e1838becf79e"><div class="ttname"><a href="classarmnn_1_1profiling_1_1_profiling_service.xhtml#ad6a0ab3d6679dded1eb2e1838becf79e">armnn::profiling::ProfilingService::GetNextGuid</a></div><div class="ttdeci">static ProfilingDynamicGuid GetNextGuid()</div><div class="ttdef"><b>Definition:</b> <a href="_profiling_service_8cpp_source.xhtml#l00026">ProfilingService.cpp:26</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#aaedc133d26fe9a55f6565c8c47d5a8f9">◆ </a></span>Execute()</h2>
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<td class="memname"><a class="el" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">Status</a> Execute </td>
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<td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#aa01bce88f89975a5a031db4cc8861527">InputTensors</a> & </td>
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<td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#a8f091a512915d1cb29a4ebf13dfc53ea">OutputTensors</a> & </td>
<td class="paramname"><em>outputTensors</em>, </td>
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<td class="paramtype"><a class="el" href="classarmnn_1_1experimental_1_1_i_working_mem_handle.xhtml">IWorkingMemHandle</a> & </td>
<td class="paramname"><em>workingMemHandle</em> </td>
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<p>Thread safe execution of the loaded network. </p>
<p class="definition">Definition at line <a class="el" href="_loaded_network_8cpp_source.xhtml#l01003">1003</a> of file <a class="el" href="_loaded_network_8cpp_source.xhtml">LoadedNetwork.cpp</a>.</p>
<p class="reference">References <a class="el" href="_working_mem_handle_8cpp_source.xhtml#l00033">WorkingMemHandle::Allocate()</a>, <a class="el" href="_logging_8hpp_source.xhtml#l00202">ARMNN_LOG</a>, <a class="el" href="_profiling_8hpp_source.xhtml#l00219">ARMNN_SCOPED_PROFILING_EVENT</a>, <a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acb5e100e5a9a3e7f6d1fd97512215282">armnn::error</a>, <a class="el" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70bae139a585510a502bbf1841cf589f5086">armnn::Failure</a>, <a class="el" href="_graph_8hpp_source.xhtml#l00185">Graph::GetInputLayers()</a>, <a class="el" href="_loaded_network_8cpp_source.xhtml#l00977">armnn::GetInputTensor()</a>, <a class="el" href="_working_mem_handle_8hpp_source.xhtml#l00058">WorkingMemHandle::GetMutex()</a>, <a class="el" href="_graph_8hpp_source.xhtml#l00180">Graph::GetNumInputs()</a>, <a class="el" href="_graph_8hpp_source.xhtml#l00191">Graph::GetNumLayers()</a>, <a class="el" href="_graph_8hpp_source.xhtml#l00189">Graph::GetOutputLayers()</a>, <a class="el" href="_loaded_network_8cpp_source.xhtml#l00990">armnn::GetOutputTensor()</a>, <a class="el" href="_timeline_utility_methods_8cpp_source.xhtml#l00018">TimelineUtilityMethods::GetTimelineUtils()</a>, <a class="el" href="_working_mem_handle_8hpp_source.xhtml#l00073">WorkingMemHandle::GetWorkingMemDescriptorAt()</a>, <a class="el" href="_working_mem_handle_8hpp_source.xhtml#l00052">WorkingMemHandle::IsAllocated()</a>, <a class="el" href="namespacearmnn_1_1profiling.xhtml#ab805f5aa9f101e7f6d971daba044c3c2afc04d023850b425f3b9c62b3a55dc110">armnn::profiling::RetentionLink</a>, <a class="el" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">armnn::Success</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">armnn::Undefined</a>, and <a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407a7b83d3f08fa392b79e3f553b585971cd">armnn::warning</a>.</p>
<p class="reference">Referenced by <a class="el" href="_runtime_8cpp_source.xhtml#l00513">RuntimeImpl::Execute()</a>, and <a class="el" href="_loaded_network_8cpp_source.xhtml#l00781">LoadedNetwork::FreeWorkingMemory()</a>.</p>
<div class="fragment"><div class="line"><a name="l01006"></a><span class="lineno"> 1006</span> {</div><div class="line"><a name="l01007"></a><span class="lineno"> 1007</span>  <span class="keyword">const</span> Graph& graph = m_OptimizedNetwork->pOptimizedNetworkImpl->GetGraph();</div><div class="line"><a name="l01008"></a><span class="lineno"> 1008</span> </div><div class="line"><a name="l01009"></a><span class="lineno"> 1009</span>  <span class="comment">// Walk graph to determine the order of execution.</span></div><div class="line"><a name="l01010"></a><span class="lineno"> 1010</span>  <span class="keywordflow">if</span> (graph.GetNumLayers() < 2)</div><div class="line"><a name="l01011"></a><span class="lineno"> 1011</span>  {</div><div class="line"><a name="l01012"></a><span class="lineno"> 1012</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407a7b83d3f08fa392b79e3f553b585971cd">warning</a>) << <span class="stringliteral">"IRuntime::EnqueueWorkload()::Less than two nodes in graph"</span>;</div><div class="line"><a name="l01013"></a><span class="lineno"> 1013</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70bae139a585510a502bbf1841cf589f5086">Status::Failure</a>;</div><div class="line"><a name="l01014"></a><span class="lineno"> 1014</span>  }</div><div class="line"><a name="l01015"></a><span class="lineno"> 1015</span> </div><div class="line"><a name="l01016"></a><span class="lineno"> 1016</span>  <span class="keywordflow">if</span> (graph.GetNumInputs() != inputTensors.size())</div><div class="line"><a name="l01017"></a><span class="lineno"> 1017</span>  {</div><div class="line"><a name="l01018"></a><span class="lineno"> 1018</span>  <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">"Number of inputs provided does not match network."</span>);</div><div class="line"><a name="l01019"></a><span class="lineno"> 1019</span>  }</div><div class="line"><a name="l01020"></a><span class="lineno"> 1020</span> </div><div class="line"><a name="l01021"></a><span class="lineno"> 1021</span>  std::unique_ptr<profiling::TimelineUtilityMethods> timelineUtils =</div><div class="line"><a name="l01022"></a><span class="lineno"> 1022</span>  <a class="code" href="classarmnn_1_1profiling_1_1_timeline_utility_methods.xhtml#a0e5c863245b8d7dc5e874c0c66eebae1">profiling::TimelineUtilityMethods::GetTimelineUtils</a>(m_ProfilingService);</div><div class="line"><a name="l01023"></a><span class="lineno"> 1023</span>  profiling::ProfilingGuid inferenceGuid = m_ProfilingService.<a class="code" href="classarmnn_1_1profiling_1_1_profiling_service.xhtml#ad6a0ab3d6679dded1eb2e1838becf79e">GetNextGuid</a>();</div><div class="line"><a name="l01024"></a><span class="lineno"> 1024</span>  <span class="keywordflow">if</span> (timelineUtils)</div><div class="line"><a name="l01025"></a><span class="lineno"> 1025</span>  {</div><div class="line"><a name="l01026"></a><span class="lineno"> 1026</span>  <span class="comment">// Add inference timeline trace if profiling is enabled.</span></div><div class="line"><a name="l01027"></a><span class="lineno"> 1027</span>  profiling::ProfilingGuid networkGuid = m_OptimizedNetwork->GetGuid();</div><div class="line"><a name="l01028"></a><span class="lineno"> 1028</span>  timelineUtils->CreateTypedEntity(inferenceGuid, profiling::LabelsAndEventClasses::INFERENCE_GUID);</div><div class="line"><a name="l01029"></a><span class="lineno"> 1029</span>  timelineUtils->CreateRelationship(<a class="code" href="namespacearmnn_1_1profiling.xhtml#ab805f5aa9f101e7f6d971daba044c3c2afc04d023850b425f3b9c62b3a55dc110">profiling::ProfilingRelationshipType::RetentionLink</a>,</div><div class="line"><a name="l01030"></a><span class="lineno"> 1030</span>  networkGuid,</div><div class="line"><a name="l01031"></a><span class="lineno"> 1031</span>  inferenceGuid,</div><div class="line"><a name="l01032"></a><span class="lineno"> 1032</span>  profiling::LabelsAndEventClasses::EXECUTION_OF_GUID);</div><div class="line"><a name="l01033"></a><span class="lineno"> 1033</span>  timelineUtils->RecordEvent(inferenceGuid, profiling::LabelsAndEventClasses::ARMNN_PROFILING_SOL_EVENT_CLASS);</div><div class="line"><a name="l01034"></a><span class="lineno"> 1034</span>  }</div><div class="line"><a name="l01035"></a><span class="lineno"> 1035</span> </div><div class="line"><a name="l01036"></a><span class="lineno"> 1036</span>  <span class="keywordtype">bool</span> executionSucceeded = <span class="keyword">true</span>;</div><div class="line"><a name="l01037"></a><span class="lineno"> 1037</span> </div><div class="line"><a name="l01038"></a><span class="lineno"> 1038</span>  <span class="keywordflow">if</span> (timelineUtils)</div><div class="line"><a name="l01039"></a><span class="lineno"> 1039</span>  {</div><div class="line"><a name="l01040"></a><span class="lineno"> 1040</span>  <span class="comment">// Add end of life of the inference timeline if profiling is enabled.</span></div><div class="line"><a name="l01041"></a><span class="lineno"> 1041</span>  timelineUtils->RecordEvent(inferenceGuid, profiling::LabelsAndEventClasses::ARMNN_PROFILING_EOL_EVENT_CLASS);</div><div class="line"><a name="l01042"></a><span class="lineno"> 1042</span>  timelineUtils->Commit();</div><div class="line"><a name="l01043"></a><span class="lineno"> 1043</span>  }</div><div class="line"><a name="l01044"></a><span class="lineno"> 1044</span>  WorkingMemHandle& workingMemHandle = <span class="keyword">dynamic_cast<</span>WorkingMemHandle&<span class="keyword">></span>(iWorkingMemHandle);</div><div class="line"><a name="l01045"></a><span class="lineno"> 1045</span>  std::lock_guard<std::mutex> lockGuard(workingMemHandle.GetMutex());</div><div class="line"><a name="l01046"></a><span class="lineno"> 1046</span> </div><div class="line"><a name="l01047"></a><span class="lineno"> 1047</span>  <span class="keywordflow">if</span> (!workingMemHandle.IsAllocated())</div><div class="line"><a name="l01048"></a><span class="lineno"> 1048</span>  {</div><div class="line"><a name="l01049"></a><span class="lineno"> 1049</span>  workingMemHandle.Allocate();</div><div class="line"><a name="l01050"></a><span class="lineno"> 1050</span>  }</div><div class="line"><a name="l01051"></a><span class="lineno"> 1051</span> </div><div class="line"><a name="l01052"></a><span class="lineno"> 1052</span>  {</div><div class="line"><a name="l01053"></a><span class="lineno"> 1053</span>  <a class="code" href="_profiling_8hpp.xhtml#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Compute::Undefined</a>, <span class="stringliteral">"PrepareInputs"</span>);</div><div class="line"><a name="l01054"></a><span class="lineno"> 1054</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> BindableLayer* inputLayer : graph.GetInputLayers())</div><div class="line"><a name="l01055"></a><span class="lineno"> 1055</span>  {</div><div class="line"><a name="l01056"></a><span class="lineno"> 1056</span>  EnqueueInput(*inputLayer, <a class="code" href="namespacearmnn.xhtml#a9ef4b4b6c421b5fd4b62274e63d08f11">GetInputTensor</a>(inputLayer->GetBindingId(), inputTensors), workingMemHandle);</div><div class="line"><a name="l01057"></a><span class="lineno"> 1057</span>  }</div><div class="line"><a name="l01058"></a><span class="lineno"> 1058</span>  }</div><div class="line"><a name="l01059"></a><span class="lineno"> 1059</span> </div><div class="line"><a name="l01060"></a><span class="lineno"> 1060</span>  <span class="keyword">auto</span> Fail = [&](<span class="keyword">const</span> std::exception& <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acb5e100e5a9a3e7f6d1fd97512215282">error</a>)</div><div class="line"><a name="l01061"></a><span class="lineno"> 1061</span>  {</div><div class="line"><a name="l01062"></a><span class="lineno"> 1062</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acb5e100e5a9a3e7f6d1fd97512215282">error</a>) << <span class="stringliteral">"An error occurred attempting to execute a workload: "</span> << <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acb5e100e5a9a3e7f6d1fd97512215282">error</a>.what();</div><div class="line"><a name="l01063"></a><span class="lineno"> 1063</span>  executionSucceeded = <span class="keyword">false</span>;</div><div class="line"><a name="l01064"></a><span class="lineno"> 1064</span>  };</div><div class="line"><a name="l01065"></a><span class="lineno"> 1065</span>  profiling::ProfilingDynamicGuid workloadInferenceID(0);</div><div class="line"><a name="l01066"></a><span class="lineno"> 1066</span> </div><div class="line"><a name="l01067"></a><span class="lineno"> 1067</span>  <span class="keywordflow">try</span></div><div class="line"><a name="l01068"></a><span class="lineno"> 1068</span>  {</div><div class="line"><a name="l01069"></a><span class="lineno"> 1069</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < m_WorkloadQueue.size(); ++i)</div><div class="line"><a name="l01070"></a><span class="lineno"> 1070</span>  {</div><div class="line"><a name="l01071"></a><span class="lineno"> 1071</span>  <span class="keyword">auto</span>& workload = m_WorkloadQueue[i];</div><div class="line"><a name="l01072"></a><span class="lineno"> 1072</span>  <span class="keywordflow">if</span> (timelineUtils)</div><div class="line"><a name="l01073"></a><span class="lineno"> 1073</span>  {</div><div class="line"><a name="l01074"></a><span class="lineno"> 1074</span>  workloadInferenceID = timelineUtils->RecordWorkloadInferenceAndStartOfLifeEvent(workload->GetGuid(),</div><div class="line"><a name="l01075"></a><span class="lineno"> 1075</span>  inferenceGuid);</div><div class="line"><a name="l01076"></a><span class="lineno"> 1076</span>  }</div><div class="line"><a name="l01077"></a><span class="lineno"> 1077</span>  workload->ExecuteAsync(workingMemHandle.GetWorkingMemDescriptorAt(i));</div><div class="line"><a name="l01078"></a><span class="lineno"> 1078</span> </div><div class="line"><a name="l01079"></a><span class="lineno"> 1079</span>  <span class="keywordflow">if</span> (timelineUtils)</div><div class="line"><a name="l01080"></a><span class="lineno"> 1080</span>  {</div><div class="line"><a name="l01081"></a><span class="lineno"> 1081</span>  timelineUtils->RecordEndOfLifeEvent(workloadInferenceID);</div><div class="line"><a name="l01082"></a><span class="lineno"> 1082</span>  }</div><div class="line"><a name="l01083"></a><span class="lineno"> 1083</span>  }</div><div class="line"><a name="l01084"></a><span class="lineno"> 1084</span>  }</div><div class="line"><a name="l01085"></a><span class="lineno"> 1085</span>  <span class="keywordflow">catch</span> (<span class="keyword">const</span> RuntimeException& <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acb5e100e5a9a3e7f6d1fd97512215282">error</a>)</div><div class="line"><a name="l01086"></a><span class="lineno"> 1086</span>  {</div><div class="line"><a name="l01087"></a><span class="lineno"> 1087</span>  Fail(error);</div><div class="line"><a name="l01088"></a><span class="lineno"> 1088</span>  }</div><div class="line"><a name="l01089"></a><span class="lineno"> 1089</span>  <span class="keywordflow">catch</span> (<span class="keyword">const</span> std::runtime_error& error)</div><div class="line"><a name="l01090"></a><span class="lineno"> 1090</span>  {</div><div class="line"><a name="l01091"></a><span class="lineno"> 1091</span>  Fail(error);</div><div class="line"><a name="l01092"></a><span class="lineno"> 1092</span>  }</div><div class="line"><a name="l01093"></a><span class="lineno"> 1093</span>  <span class="comment">// For each output to the network, call EnqueueOutput with the data passed by the user.</span></div><div class="line"><a name="l01094"></a><span class="lineno"> 1094</span>  {</div><div class="line"><a name="l01095"></a><span class="lineno"> 1095</span>  <a class="code" href="_profiling_8hpp.xhtml#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Compute::Undefined</a>, <span class="stringliteral">"PrepareOutputs"</span>);</div><div class="line"><a name="l01096"></a><span class="lineno"> 1096</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> BindableLayer *outputLayer : graph.GetOutputLayers())</div><div class="line"><a name="l01097"></a><span class="lineno"> 1097</span>  {</div><div class="line"><a name="l01098"></a><span class="lineno"> 1098</span>  EnqueueOutput(*outputLayer, <a class="code" href="namespacearmnn.xhtml#ac624e40d8096e61c73b246934f18afd0">GetOutputTensor</a>(outputLayer->GetBindingId(), outputTensors), workingMemHandle);</div><div class="line"><a name="l01099"></a><span class="lineno"> 1099</span>  }</div><div class="line"><a name="l01100"></a><span class="lineno"> 1100</span>  }</div><div class="line"><a name="l01101"></a><span class="lineno"> 1101</span> </div><div class="line"><a name="l01102"></a><span class="lineno"> 1102</span>  <span class="keywordflow">return</span> executionSucceeded ? <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">Status::Success</a> : <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70bae139a585510a502bbf1841cf589f5086">Status::Failure</a>;</div><div class="line"><a name="l01103"></a><span class="lineno"> 1103</span> }</div><div class="ttc" id="classarmnn_1_1profiling_1_1_timeline_utility_methods_xhtml_a0e5c863245b8d7dc5e874c0c66eebae1"><div class="ttname"><a href="classarmnn_1_1profiling_1_1_timeline_utility_methods.xhtml#a0e5c863245b8d7dc5e874c0c66eebae1">armnn::profiling::TimelineUtilityMethods::GetTimelineUtils</a></div><div class="ttdeci">static std::unique_ptr< TimelineUtilityMethods > GetTimelineUtils(ProfilingService &profilingService)</div><div class="ttdef"><b>Definition:</b> <a href="_timeline_utility_methods_8cpp_source.xhtml#l00018">TimelineUtilityMethods.cpp:18</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ac624e40d8096e61c73b246934f18afd0"><div class="ttname"><a href="namespacearmnn.xhtml#ac624e40d8096e61c73b246934f18afd0">armnn::GetOutputTensor</a></div><div class="ttdeci">const armnn::Tensor GetOutputTensor(const LayerBindingId layerId, const OutputTensors &outputTensors)</div><div class="ttdef"><b>Definition:</b> <a href="_loaded_network_8cpp_source.xhtml#l00990">LoadedNetwork.cpp:990</a></div></div>
<div class="ttc" id="_logging_8hpp_xhtml_a7b6ad073975f437ec38ca7d20154727f"><div class="ttname"><a href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a></div><div class="ttdeci">#define ARMNN_LOG(severity)</div><div class="ttdef"><b>Definition:</b> <a href="_logging_8hpp_source.xhtml#l00202">Logging.hpp:202</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acb5e100e5a9a3e7f6d1fd97512215282"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acb5e100e5a9a3e7f6d1fd97512215282">armnn::BoostLogSeverityMapping::error</a></div></div>
<div class="ttc" id="_profiling_8hpp_xhtml_a5ccc65e2c464ac05ce311fdae7ede03a"><div class="ttname"><a href="_profiling_8hpp.xhtml#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT(backendId, name)</div><div class="ttdef"><b>Definition:</b> <a href="_profiling_8hpp_source.xhtml#l00219">Profiling.hpp:219</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_a4dc0adc6737b5944e7671bee71788407a7b83d3f08fa392b79e3f553b585971cd"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407a7b83d3f08fa392b79e3f553b585971cd">armnn::BoostLogSeverityMapping::warning</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360"><div class="ttname"><a href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">armnn::Compute::Undefined</a></div></div>
<div class="ttc" id="namespacearmnn_1_1profiling_xhtml_ab805f5aa9f101e7f6d971daba044c3c2afc04d023850b425f3b9c62b3a55dc110"><div class="ttname"><a href="namespacearmnn_1_1profiling.xhtml#ab805f5aa9f101e7f6d971daba044c3c2afc04d023850b425f3b9c62b3a55dc110">armnn::profiling::ProfilingRelationshipType::RetentionLink</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a67a0db04d321a74b7e7fcfd3f1a3f70bae139a585510a502bbf1841cf589f5086"><div class="ttname"><a href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70bae139a585510a502bbf1841cf589f5086">armnn::Status::Failure</a></div></div>
<div class="ttc" id="classarmnn_1_1profiling_1_1_profiling_service_xhtml_ad6a0ab3d6679dded1eb2e1838becf79e"><div class="ttname"><a href="classarmnn_1_1profiling_1_1_profiling_service.xhtml#ad6a0ab3d6679dded1eb2e1838becf79e">armnn::profiling::ProfilingService::GetNextGuid</a></div><div class="ttdeci">static ProfilingDynamicGuid GetNextGuid()</div><div class="ttdef"><b>Definition:</b> <a href="_profiling_service_8cpp_source.xhtml#l00026">ProfilingService.cpp:26</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a9ef4b4b6c421b5fd4b62274e63d08f11"><div class="ttname"><a href="namespacearmnn.xhtml#a9ef4b4b6c421b5fd4b62274e63d08f11">armnn::GetInputTensor</a></div><div class="ttdeci">const armnn::ConstTensor GetInputTensor(const LayerBindingId layerId, const InputTensors &inputTensors)</div><div class="ttdef"><b>Definition:</b> <a href="_loaded_network_8cpp_source.xhtml#l00977">LoadedNetwork.cpp:977</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#aaf8558a23ae9be6e7ea165989f1fa808">◆ </a></span>FreeWorkingMemory()</h2>
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<td class="memname">void FreeWorkingMemory </td>
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<p class="definition">Definition at line <a class="el" href="_loaded_network_8cpp_source.xhtml#l00781">781</a> of file <a class="el" href="_loaded_network_8cpp_source.xhtml">LoadedNetwork.cpp</a>.</p>
<p class="reference">References <a class="el" href="_assert_8hpp_source.xhtml#l00015">ARMNN_ASSERT_MSG</a>, <a class="el" href="_logging_8hpp_source.xhtml#l00202">ARMNN_LOG</a>, <a class="el" href="_profiling_8hpp_source.xhtml#l00219">ARMNN_SCOPED_PROFILING_EVENT</a>, <a class="el" href="_memory_sources_8hpp_source.xhtml#l00041">armnn::CheckFlag()</a>, <a class="el" href="_workload_utils_8hpp_source.xhtml#l00047">armnn::CopyTensorContentsGeneric()</a>, <a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acb5e100e5a9a3e7f6d1fd97512215282">armnn::error</a>, <a class="el" href="_loaded_network_8cpp_source.xhtml#l01003">LoadedNetwork::Execute()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00322">Layer::GetGuid()</a>, <a class="el" href="include_2armnn_2backends_2_i_tensor_handle_8hpp_source.xhtml#l00069">ITensorHandle::GetImportFlags()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00295">BaseTensor< MemoryType >::GetInfo()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00237">Layer::GetInputSlots()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00305">BaseTensor< MemoryType >::GetMemoryArea()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00313">Layer::GetNumInputSlots()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00265">Layer::GetType()</a>, <a class="el" href="_working_mem_handle_8hpp_source.xhtml#l00064">WorkingMemHandle::GetWorkingMemDescriptor()</a>, <a class="el" href="include_2armnn_2backends_2_i_tensor_handle_8hpp_source.xhtml#l00075">ITensorHandle::Import()</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::Input</a>, <a class="el" href="_working_mem_descriptor_8hpp_source.xhtml#l00020">WorkingMemDescriptor::m_Inputs</a>, <a class="el" href="_working_mem_descriptor_8hpp_source.xhtml#l00021">WorkingMemDescriptor::m_Outputs</a>, <a class="el" href="classarmnn_1_1_i_tensor_handle.xhtml#a9afbc055a017adf1bc38ee137bca6e90">ITensorHandle::Map()</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::Output</a>, <a class="el" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">armnn::Undefined</a>, and <a class="el" href="classarmnn_1_1_i_tensor_handle.xhtml#a563609828050f1b3a7868c23f3365923">ITensorHandle::Unmap()</a>.</p>
<p class="reference">Referenced by <a class="el" href="_runtime_8cpp_source.xhtml#l00539">RuntimeImpl::CreateWorkingMemHandle()</a>, and <a class="el" href="_runtime_8cpp_source.xhtml#l00480">RuntimeImpl::EnqueueWorkload()</a>.</p>
<div class="fragment"><div class="line"><a name="l00782"></a><span class="lineno"> 782</span> {</div><div class="line"><a name="l00783"></a><span class="lineno"> 783</span>  std::lock_guard<std::mutex> lockGuard(m_WorkingMemMutex);</div><div class="line"><a name="l00784"></a><span class="lineno"> 784</span>  <span class="keywordflow">if</span> (!m_IsWorkingMemAllocated)</div><div class="line"><a name="l00785"></a><span class="lineno"> 785</span>  {</div><div class="line"><a name="l00786"></a><span class="lineno"> 786</span>  <span class="keywordflow">return</span>;</div><div class="line"><a name="l00787"></a><span class="lineno"> 787</span>  }</div><div class="line"><a name="l00788"></a><span class="lineno"> 788</span>  <span class="comment">// Informs the memory managers to release memory in it's respective memory group</span></div><div class="line"><a name="l00789"></a><span class="lineno"> 789</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& workloadFactory : m_WorkloadFactories)</div><div class="line"><a name="l00790"></a><span class="lineno"> 790</span>  {</div><div class="line"><a name="l00791"></a><span class="lineno"> 791</span>  <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">IBackendInternal::IMemoryManagerSharedPtr</a> memoryManager = workloadFactory.second.second;</div><div class="line"><a name="l00792"></a><span class="lineno"> 792</span>  <span class="keywordflow">if</span> (memoryManager)</div><div class="line"><a name="l00793"></a><span class="lineno"> 793</span>  {</div><div class="line"><a name="l00794"></a><span class="lineno"> 794</span>  memoryManager->Release();</div><div class="line"><a name="l00795"></a><span class="lineno"> 795</span>  }</div><div class="line"><a name="l00796"></a><span class="lineno"> 796</span>  }</div><div class="line"><a name="l00797"></a><span class="lineno"> 797</span>  m_TensorHandleFactoryRegistry.<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml#a69ca23561f4f8a887f19c6580cbd34c8">ReleaseMemory</a>();</div><div class="line"><a name="l00798"></a><span class="lineno"> 798</span>  m_IsWorkingMemAllocated = <span class="keyword">false</span>;</div><div class="line"><a name="l00799"></a><span class="lineno"> 799</span> }</div><div class="ttc" id="classarmnn_1_1_i_backend_internal_xhtml_a693b40e6b94e958836aeb0410ca186bd"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a></div><div class="ttdeci">std::shared_ptr< IMemoryManager > IMemoryManagerSharedPtr</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_backend_internal_8hpp_source.xhtml#l00099">IBackendInternal.hpp:99</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_handle_factory_registry_xhtml_a69ca23561f4f8a887f19c6580cbd34c8"><div class="ttname"><a href="classarmnn_1_1_tensor_handle_factory_registry.xhtml#a69ca23561f4f8a887f19c6580cbd34c8">armnn::TensorHandleFactoryRegistry::ReleaseMemory</a></div><div class="ttdeci">void ReleaseMemory()</div><div class="ttdoc">Release memory required for inference. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_factory_registry_8cpp_source.xhtml#l00074">TensorHandleFactoryRegistry.cpp:74</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#af616683424cb40d83b5a923db7f06f11">◆ </a></span>GetInputTensorInfo()</h2>
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<td class="memname"><a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> GetInputTensorInfo </td>
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<td class="paramtype"><a class="el" href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">LayerBindingId</a> </td>
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<p class="definition">Definition at line <a class="el" href="_loaded_network_8cpp_source.xhtml#l00376">376</a> of file <a class="el" href="_loaded_network_8cpp_source.xhtml">LoadedNetwork.cpp</a>.</p>
<p class="reference">References <a class="el" href="_assert_8hpp_source.xhtml#l00015">ARMNN_ASSERT_MSG</a>.</p>
<p class="reference">Referenced by <a class="el" href="_runtime_8cpp_source.xhtml#l00469">RuntimeImpl::GetInputTensorInfo()</a>.</p>
<div class="fragment"><div class="line"><a name="l00377"></a><span class="lineno"> 377</span> {</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& inputLayer : m_OptimizedNetwork->pOptimizedNetworkImpl->GetGraph().GetInputLayers())</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  {</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  <a class="code" href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(inputLayer->GetNumOutputSlots() == 1, <span class="stringliteral">"Input layer should have exactly 1 output slot"</span>);</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  <span class="keywordflow">if</span> (inputLayer->GetBindingId() == layerId)</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  {</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  <span class="keywordflow">return</span> inputLayer->GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  }</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  }</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span> </div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  <span class="keywordflow">throw</span> InvalidArgumentException(fmt::format(<span class="stringliteral">"No input layer is associated with id {}"</span>, layerId));</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span> }</div><div class="ttc" id="_assert_8hpp_xhtml_a91c4dfde57907d7698c7531785690a7f"><div class="ttname"><a href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a></div><div class="ttdeci">#define ARMNN_ASSERT_MSG(COND, MSG)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.xhtml#l00015">Assert.hpp:15</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#ac8be6c967db9e797ade32fa3db497422">◆ </a></span>GetNetworkGuid()</h2>
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<td class="memname">profiling::ProfilingGuid GetNetworkGuid </td>
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<p class="definition">Definition at line <a class="el" href="_loaded_network_8cpp_source.xhtml#l00371">371</a> of file <a class="el" href="_loaded_network_8cpp_source.xhtml">LoadedNetwork.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00372"></a><span class="lineno"> 372</span> {</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  <span class="keywordflow">return</span> m_OptimizedNetwork->GetGuid();</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span> }</div></div><!-- fragment -->
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<h2 class="memtitle"><span class="permalink"><a href="#a2b6b57945bc68f659e08d28c8a015e91">◆ </a></span>GetOutputTensorInfo()</h2>
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<td class="memname"><a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> GetOutputTensorInfo </td>
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<p class="definition">Definition at line <a class="el" href="_loaded_network_8cpp_source.xhtml#l00390">390</a> of file <a class="el" href="_loaded_network_8cpp_source.xhtml">LoadedNetwork.cpp</a>.</p>
<p class="reference">References <a class="el" href="_assert_8hpp_source.xhtml#l00015">ARMNN_ASSERT_MSG</a>, <a class="el" href="_exceptions_8hpp_source.xhtml#l00197">CHECK_LOCATION</a>, <a class="el" href="_backend_id_8hpp_source.xhtml#l00136">BackendId::Get()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00269">Layer::GetBackendId()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00220">Layer::GetNameStr()</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, and <a class="el" href="_workload_factory_8cpp_source.xhtml#l01418">IWorkloadFactory::IsLayerSupported()</a>.</p>
<p class="reference">Referenced by <a class="el" href="_runtime_8cpp_source.xhtml#l00474">RuntimeImpl::GetOutputTensorInfo()</a>.</p>
<div class="fragment"><div class="line"><a name="l00391"></a><span class="lineno"> 391</span> {</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& outputLayer : m_OptimizedNetwork->pOptimizedNetworkImpl->GetGraph().GetOutputLayers())</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  {</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  <a class="code" href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(outputLayer->GetNumInputSlots() == 1, <span class="stringliteral">"Output layer should have exactly 1 input slot"</span>);</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  <a class="code" href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(outputLayer->GetInputSlot(0).GetConnection(), <span class="stringliteral">"Input slot on Output layer must be connected"</span>);</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  <span class="keywordflow">if</span> (outputLayer->GetBindingId() == layerId)</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  {</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  <span class="keywordflow">return</span> outputLayer->GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  }</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  }</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>  <span class="keywordflow">throw</span> InvalidArgumentException(fmt::format(<span class="stringliteral">"No output layer is associated with id {}"</span>, layerId));</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span> }</div><div class="ttc" id="_assert_8hpp_xhtml_a91c4dfde57907d7698c7531785690a7f"><div class="ttname"><a href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a></div><div class="ttdeci">#define ARMNN_ASSERT_MSG(COND, MSG)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.xhtml#l00015">Assert.hpp:15</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#aee8e1cb09e0d4dcbe64df111c5edd55e">◆ </a></span>GetProfiler()</h2>
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<td class="memname">const std::shared_ptr<<a class="el" href="classarmnn_1_1_i_profiler.xhtml">IProfiler</a>>& GetProfiler </td>
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<p class="definition">Definition at line <a class="el" href="_loaded_network_8hpp_source.xhtml#l00068">68</a> of file <a class="el" href="_loaded_network_8hpp_source.xhtml">LoadedNetwork.hpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_runtime_8cpp_source.xhtml#l00539">RuntimeImpl::CreateWorkingMemHandle()</a>, <a class="el" href="_runtime_8cpp_source.xhtml#l00480">RuntimeImpl::EnqueueWorkload()</a>, and <a class="el" href="_runtime_8cpp_source.xhtml#l00513">RuntimeImpl::Execute()</a>.</p>
<div class="fragment"><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> { <span class="keywordflow">return</span> m_Profiler; }</div></div><!-- fragment -->
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<h2 class="memtitle"><span class="permalink"><a href="#a390c87e27deac4f51af9533053b2ee14">◆ </a></span>IsAsyncEnabled()</h2>
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<p class="definition">Definition at line <a class="el" href="_loaded_network_8hpp_source.xhtml#l00076">76</a> of file <a class="el" href="_loaded_network_8hpp_source.xhtml">LoadedNetwork.hpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_runtime_8cpp_source.xhtml#l00539">RuntimeImpl::CreateWorkingMemHandle()</a>, <a class="el" href="_runtime_8cpp_source.xhtml#l00480">RuntimeImpl::EnqueueWorkload()</a>, and <a class="el" href="_runtime_8cpp_source.xhtml#l00513">RuntimeImpl::Execute()</a>.</p>
<div class="fragment"><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  {</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordflow">return</span> m_NetworkProperties.<a class="code" href="structarmnn_1_1_i_network_properties.xhtml#ad3ab02a7f6310b35c59ca78b509905ca">m_AsyncEnabled</a>;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  }</div><div class="ttc" id="structarmnn_1_1_i_network_properties_xhtml_ad3ab02a7f6310b35c59ca78b509905ca"><div class="ttname"><a href="structarmnn_1_1_i_network_properties.xhtml#ad3ab02a7f6310b35c59ca78b509905ca">armnn::INetworkProperties::m_AsyncEnabled</a></div><div class="ttdeci">const bool m_AsyncEnabled</div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.xhtml#l00084">IRuntime.hpp:84</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#a8e94a5375ad367ddee9c69e04e110a54">◆ </a></span>MakeLoadedNetwork()</h2>
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<td class="memname">std::unique_ptr< <a class="el" href="classarmnn_1_1_loaded_network.xhtml">LoadedNetwork</a> > MakeLoadedNetwork </td>
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<p class="definition">Definition at line <a class="el" href="_loaded_network_8cpp_source.xhtml#l00081">81</a> of file <a class="el" href="_loaded_network_8cpp_source.xhtml">LoadedNetwork.cpp</a>.</p>
<p class="reference">References <a class="el" href="classarmnn_1_1_i_tensor_handle.xhtml#a5cceed8b707a09bf27eb61f17acf8a88">ITensorHandle::Allocate()</a>, <a class="el" href="_assert_8hpp_source.xhtml#l00014">ARMNN_ASSERT</a>, <a class="el" href="_logging_8hpp_source.xhtml#l00202">ARMNN_LOG</a>, <a class="el" href="_backend_registry_8cpp_source.xhtml#l00013">armnn::BackendRegistryInstance()</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">armnn::Constant</a>, <a class="el" href="_i_backend_internal_8cpp_source.xhtml#l00032">IBackendInternal::CreateMemoryManager()</a>, <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#afd5a5e90515b31c0174f76ec8897e9b1">IBackendInternal::CreateWorkloadFactory()</a>, <a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acb5e100e5a9a3e7f6d1fd97512215282">armnn::error</a>, <a class="el" href="_processes_8cpp_source.xhtml#l00019">armnnUtils::Processes::GetCurrentId()</a>, <a class="el" href="_backend_registry_8cpp_source.xhtml#l00055">BackendRegistry::GetFactory()</a>, <a class="el" href="_profiling_8cpp_source.xhtml#l00526">ProfilerManager::GetInstance()</a>, <a class="el" href="_timeline_utility_methods_8cpp_source.xhtml#l00018">TimelineUtilityMethods::GetTimelineUtils()</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::Input</a>, <a class="el" href="include_2armnn_2backends_2_i_tensor_handle_factory_8hpp_source.xhtml#l00046">ITensorHandleFactory::LegacyFactoryId</a>, <a class="el" href="_i_runtime_8hpp_source.xhtml#l00084">INetworkProperties::m_AsyncEnabled</a>, <a class="el" href="_i_runtime_8hpp_source.xhtml#l00088">INetworkProperties::m_OutputNetworkDetails</a>, <a class="el" href="_working_mem_descriptor_8hpp_source.xhtml#l00021">WorkingMemDescriptor::m_Outputs</a>, <a class="el" href="_i_runtime_8hpp_source.xhtml#l00086">INetworkProperties::m_ProfilingEnabled</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9">armnn::MemImport</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::Output</a>, <a class="el" href="_profiling_8cpp_source.xhtml#l00533">ProfilerManager::RegisterProfiler()</a>, <a class="el" href="_i_backend_internal_8cpp_source.xhtml#l00156">IBackendInternal::SupportsTensorAllocatorAPI()</a>, and <a class="el" href="_graph_8hpp_source.xhtml#l00177">Graph::TopologicalSort()</a>.</p>
<p class="reference">Referenced by <a class="el" href="_runtime_8cpp_source.xhtml#l00138">RuntimeImpl::LoadNetwork()</a>.</p>
<div class="fragment"><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> {</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  std::unique_ptr<LoadedNetwork> loadedNetwork;</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> </div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keyword">auto</span> Fail = [&](<span class="keyword">const</span> std::exception& <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acb5e100e5a9a3e7f6d1fd97512215282">error</a>) -> std::unique_ptr<LoadedNetwork></div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  {</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  errorMessage = ToErrorMessage(<span class="stringliteral">"An error occurred when preparing the network workloads: "</span>, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acb5e100e5a9a3e7f6d1fd97512215282">error</a>);</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acb5e100e5a9a3e7f6d1fd97512215282">error</a>) << errorMessage;</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> </div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keywordflow">return</span> std::unique_ptr<LoadedNetwork>();</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  };</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> </div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keywordflow">try</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  {</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  loadedNetwork.reset(<span class="keyword">new</span> LoadedNetwork(std::move(net), networkProperties, profilingService));</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  }</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keywordflow">catch</span> (<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_runtime_exception.xhtml">armnn::RuntimeException</a>& <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acb5e100e5a9a3e7f6d1fd97512215282">error</a>)</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  {</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keywordflow">return</span> Fail(error);</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  }</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keywordflow">catch</span> (<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_exception.xhtml">armnn::Exception</a>& error)</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  {</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keywordflow">return</span> Fail(error);</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  }</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keywordflow">catch</span> (<span class="keyword">const</span> std::runtime_error& error)</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  {</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keywordflow">return</span> Fail(error);</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  }</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> </div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="keywordflow">return</span> loadedNetwork;</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> }</div><div class="ttc" id="_logging_8hpp_xhtml_a7b6ad073975f437ec38ca7d20154727f"><div class="ttname"><a href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a></div><div class="ttdeci">#define ARMNN_LOG(severity)</div><div class="ttdef"><b>Definition:</b> <a href="_logging_8hpp_source.xhtml#l00202">Logging.hpp:202</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acb5e100e5a9a3e7f6d1fd97512215282"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acb5e100e5a9a3e7f6d1fd97512215282">armnn::BoostLogSeverityMapping::error</a></div></div>
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<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>
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<p class="definition">Definition at line <a class="el" href="_loaded_network_8cpp_source.xhtml#l01249">1249</a> of file <a class="el" href="_loaded_network_8cpp_source.xhtml">LoadedNetwork.cpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_runtime_8cpp_source.xhtml#l00570">RuntimeImpl::RegisterDebugCallback()</a>.</p>
<div class="fragment"><div class="line"><a name="l01250"></a><span class="lineno"> 1250</span> {</div><div class="line"><a name="l01251"></a><span class="lineno"> 1251</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& workloadPtr: m_WorkloadQueue)</div><div class="line"><a name="l01252"></a><span class="lineno"> 1252</span>  {</div><div class="line"><a name="l01253"></a><span class="lineno"> 1253</span>  workloadPtr.get()->RegisterDebugCallback(func);</div><div class="line"><a name="l01254"></a><span class="lineno"> 1254</span>  }</div><div class="line"><a name="l01255"></a><span class="lineno"> 1255</span> }</div></div><!-- fragment -->
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<p class="definition">Definition at line <a class="el" href="_loaded_network_8cpp_source.xhtml#l00334">334</a> of file <a class="el" href="_loaded_network_8cpp_source.xhtml">LoadedNetwork.cpp</a>.</p>
<p class="reference">References <a class="el" href="_timeline_utility_methods_8cpp_source.xhtml#l00018">TimelineUtilityMethods::GetTimelineUtils()</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::Input</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::Output</a>, and <a class="el" href="_graph_8hpp_source.xhtml#l00177">Graph::TopologicalSort()</a>.</p>
<div class="fragment"><div class="line"><a name="l00335"></a><span class="lineno"> 335</span> {</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  Graph& order = m_OptimizedNetwork->pOptimizedNetworkImpl->GetGraph().TopologicalSort();</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  ProfilingGuid networkGuid = m_OptimizedNetwork->GetGuid();</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span> </div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  std::unique_ptr<TimelineUtilityMethods> timelineUtils =</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  <a class="code" href="classarmnn_1_1profiling_1_1_timeline_utility_methods.xhtml#a0e5c863245b8d7dc5e874c0c66eebae1">TimelineUtilityMethods::GetTimelineUtils</a>(m_ProfilingService);</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span> </div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  timelineUtils->CreateTypedEntity(networkGuid, LabelsAndEventClasses::NETWORK_GUID);</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span> </div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& layer : order)</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  {</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  <span class="comment">// Add layer to the post-optimisation network structure</span></div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  AddLayerStructure(timelineUtils, *layer, networkGuid);</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  <span class="keywordflow">switch</span> (layer->GetType())</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  {</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">LayerType::Input</a>:</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">LayerType::Output</a>:</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>  <span class="comment">// Inputs and outputs are treated in a special way - see EnqueueInput() and EnqueueOutput().</span></div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <span class="keywordflow">break</span>;</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>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  {</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>& workload : m_WorkloadQueue)</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>  <span class="comment">// Add workload to the post-optimisation network structure</span></div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  AddWorkloadStructure(timelineUtils, workload, *layer);</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  }</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  }</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  }</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  }</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  <span class="comment">// Commit to send the post-optimisation network structure</span></div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  timelineUtils->Commit();</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span> }</div><div class="ttc" id="classarmnn_1_1profiling_1_1_timeline_utility_methods_xhtml_a0e5c863245b8d7dc5e874c0c66eebae1"><div class="ttname"><a href="classarmnn_1_1profiling_1_1_timeline_utility_methods.xhtml#a0e5c863245b8d7dc5e874c0c66eebae1">armnn::profiling::TimelineUtilityMethods::GetTimelineUtils</a></div><div class="ttdeci">static std::unique_ptr< TimelineUtilityMethods > GetTimelineUtils(ProfilingService &profilingService)</div><div class="ttdef"><b>Definition:</b> <a href="_timeline_utility_methods_8cpp_source.xhtml#l00018">TimelineUtilityMethods.cpp:18</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::LayerType::Output</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::LayerType::Input</a></div></div>
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