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<div class="title">ArmnnPreparedModel.cpp</div> </div>
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<a href="_armnn_prepared_model_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> </div><div class="line"><a name="l00006"></a><span class="lineno"><a class="line" href="_armnn_prepared_model_8cpp.xhtml#a7ce0df38eb467e59f209470c8f5ac4e6"> 6</a></span> <span class="preprocessor">#define LOG_TAG "arm-armnn-sl"</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> </div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include "<a class="code" href="_armnn_prepared_model_8hpp.xhtml">ArmnnPreparedModel.hpp</a>"</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include "<a class="code" href="_canonical_utils_8hpp.xhtml">CanonicalUtils.hpp</a>"</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> </div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <DefaultExecution.h></span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include <LegacyUtils.h></span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include <nnapi/IBurst.h></span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include <nnapi/IPreparedModel.h></span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include <nnapi/Result.h></span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="preprocessor">#include <nnapi/SharedMemory.h></span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="preprocessor">#include <nnapi/TypeUtils.h></span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="preprocessor">#include <nnapi/Types.h></span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="preprocessor">#include <nnapi/Validation.h></span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> </div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="preprocessor">#include <memory></span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="preprocessor">#include <tuple></span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="preprocessor">#include <utility></span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include <vector></span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> </div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="keyword">using namespace </span><a class="code" href="namespaceandroid.xhtml">android</a>;</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="keyword">using namespace </span><a class="code" href="namespaceandroid_1_1nn.xhtml">android::nn</a>;</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="keyword">static</span> <span class="keyword">const</span> Timing g_NoTiming = {};</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> </div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="keyword">namespace </span>{</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> </div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="keyword">using namespace </span><a class="code" href="namespacearmnn__driver.xhtml">armnn_driver</a>;</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> </div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">long</span> MicrosecondsDuration(android::nn::TimePoint endPoint, android::nn::TimePoint startPoint)</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> {</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keywordflow">return</span> <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">long</span><span class="keyword">></span>(std::chrono::duration_cast<std::chrono::microseconds>(</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  endPoint - startPoint).count());</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> }</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> </div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="keywordtype">bool</span> ValidateRequestArgument(<span class="keyword">const</span> Request::Argument& requestArg, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& tensorInfo)</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> {</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keywordflow">if</span> (requestArg.dimensions.size() != 0)</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  {</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keywordflow">if</span> (requestArg.dimensions.size() != tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>())</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  {</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  VLOG(DRIVER) << <span class="stringliteral">"Mismatched dimensions (request argument: "</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  << requestArg.dimensions.size() << <span class="stringliteral">" expected: "</span> << tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  }</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> </div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> d = 0; d < tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(); ++d)</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  {</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keywordflow">if</span> (requestArg.dimensions[d] != 0 && requestArg.dimensions[d] != tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[d])</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  {</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  VLOG(DRIVER) << <span class="stringliteral">"Mismatched dimensions "</span> << d</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  << <span class="stringliteral">" (request argument: "</span> << requestArg.dimensions[d]</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  << <span class="stringliteral">" expected: "</span> << tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[d];</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  }</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  }</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  }</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> </div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> }</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> </div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <a class="code" href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a> GetTensorForRequestArgument(<span class="keyword">const</span> Request::Argument& requestArg,</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& tensorInfo,</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keyword">const</span> std::vector<::android::nn::RunTimePoolInfo>& requestPools)</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> {</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordflow">if</span> (!ValidateRequestArgument(requestArg, tensorInfo))</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  {</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a>();</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  }</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> </div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordflow">if</span> (requestArg.lifetime == Request::Argument::LifeTime::POINTER)</div><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> <a class="code" href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a>(tensorInfo, <a class="code" href="namespacearmnn__driver.xhtml#a915f2652854e417e26afc297f12e107c">GetMemoryFromPointer</a>(requestArg));</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  }</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (requestArg.lifetime == Request::Argument::LifeTime::POOL)</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  {</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a>(tensorInfo, <a class="code" href="namespacearmnn__driver.xhtml#a96666c2945d7fe8c34aee30a449287d5">GetMemoryFromPool</a>(requestArg.location, requestPools));</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  }</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a>();</div><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> </div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> <span class="keyword">inline</span> std::string BuildTensorName(<span class="keyword">const</span> <span class="keywordtype">char</span>* tensorNamePrefix, std::size_t index)</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> {</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordflow">return</span> tensorNamePrefix + std::to_string(index);</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> }</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> </div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> <span class="keywordtype">bool</span> IsPointerTypeMemory(<span class="keyword">const</span> Request& request)</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> {</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>& input : request.inputs)</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">if</span> (input.lifetime != Request::Argument::LifeTime::POINTER)</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>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</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>  }</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">for</span> (<span class="keyword">auto</span>& output: request.outputs)</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">if</span> (output.lifetime != Request::Argument::LifeTime::POINTER)</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> <span class="keyword">false</span>;</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>  }</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> <span class="keyword">true</span>;</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="comment">// anonymous namespace</span></div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> </div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> <span class="keyword">using namespace </span><a class="code" href="namespaceandroid_1_1nn.xhtml">android::nn</a>;</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> </div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn__driver.xhtml">armnn_driver</a></div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> {</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> </div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> <span class="keywordtype">void</span> ArmnnPreparedModel::Init()</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> {</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="comment">// Enable profiling if required.</span></div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  m_Runtime->GetProfiler(m_NetworkId)->EnableProfiling(m_GpuProfilingEnabled);</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> }</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> </div><div class="line"><a name="l00126"></a><span class="lineno"><a class="line" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#a4905d77691ee9a2e9705e90557f64c2b"> 126</a></span> ArmnnPreparedModel::ArmnnPreparedModel(<a class="code" href="namespacearmnn.xhtml#a0d8160388a127c1a23b37bc88dc6e2ec">armnn::NetworkId</a> networkId,</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <a class="code" href="classarmnn_1_1_i_runtime.xhtml">armnn::IRuntime</a>* runtime,</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a>& model,</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keyword">const</span> std::string& requestInputsAndOutputsDumpDir,</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> gpuProfilingEnabled,</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  Priority priority)</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  : m_NetworkId(networkId)</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  , m_Runtime(runtime)</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  , m_Model(model)</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  , m_RequestInputsAndOutputsDumpDir(requestInputsAndOutputsDumpDir)</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  , m_GpuProfilingEnabled(gpuProfilingEnabled)</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  , m_ModelPriority(priority)</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  , m_PrepareFromCache(false)</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> {</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  Init();</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> }</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span> </div><div class="line"><a name="l00143"></a><span class="lineno"><a class="line" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#a5b6d4da9a2af5b8c583f0e646e5798c5"> 143</a></span> <a class="code" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#a4905d77691ee9a2e9705e90557f64c2b">ArmnnPreparedModel::ArmnnPreparedModel</a>(<a class="code" href="namespacearmnn.xhtml#a0d8160388a127c1a23b37bc88dc6e2ec">armnn::NetworkId</a> networkId,</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <a class="code" href="classarmnn_1_1_i_runtime.xhtml">armnn::IRuntime</a>* runtime,</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keyword">const</span> std::string& requestInputsAndOutputsDumpDir,</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> gpuProfilingEnabled,</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  Priority priority,</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> prepareModelFromCache)</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  : m_NetworkId(networkId)</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  , m_Runtime(runtime)</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  , m_RequestInputsAndOutputsDumpDir(requestInputsAndOutputsDumpDir)</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  , m_GpuProfilingEnabled(gpuProfilingEnabled)</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  , m_ModelPriority(priority)</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  , m_PrepareFromCache(prepareModelFromCache)</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span> {</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  Init();</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> }</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> </div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span> </div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span> <a class="code" href="namespacearmnn__driver.xhtml#a1fa5070fa0d079873acaf7581de8a2ad">ErrorStatus</a> ArmnnPreparedModel::PrepareMemoryForInputs(</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <a class="code" href="namespacearmnn.xhtml#aa01bce88f89975a5a031db4cc8861527">armnn::InputTensors</a>& inputs,</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="keyword">const</span> Request& request,</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="keyword">const</span> std::vector<android::nn::RunTimePoolInfo>& memPools)<span class="keyword"> const</span></div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span> <span class="keyword"></span>{</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  inputs.reserve(request.inputs.size());</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < request.inputs.size(); i++)</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  {</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <span class="keyword">const</span> <span class="keyword">auto</span>& inputArg = request.inputs[i];</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> </div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo = m_Runtime-><a class="code" href="classarmnn_1_1_i_runtime.xhtml#a25f528b76d8116e08cddc7d4a8661ee1">GetInputTensorInfo</a>(m_NetworkId, i);</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="comment">// inputs (of type InputTensors) is composed of a vector of ConstTensors.</span></div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="comment">// Therefore, set all TensorInfo isConstant parameters of input Tensors to true.</span></div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8ffca1e21bdfa7f945617acd606aac91">SetConstant</a>();</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a> inputTensor = GetTensorForRequestArgument(inputArg, inputTensorInfo, memPools);</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span> </div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keywordflow">if</span> (inputTensor.<a class="code" href="classarmnn_1_1_base_tensor.xhtml#aa81f67ac64f0c249e26499600c45d996">GetMemoryArea</a>() == <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  {</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  VLOG(DRIVER) << <span class="stringliteral">"Cannot execute request. Error converting request input "</span> << i << <span class="stringliteral">"to tensor."</span>;</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="keywordflow">return</span> ErrorStatus::GENERAL_FAILURE;</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  }</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  inputs.emplace_back(i, inputTensor);</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  }</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span> </div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="keywordflow">return</span> ErrorStatus::NONE;</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span> }</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span> </div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span> <a class="code" href="namespacearmnn__driver.xhtml#a1fa5070fa0d079873acaf7581de8a2ad">ErrorStatus</a> ArmnnPreparedModel::PrepareMemoryForOutputs(</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <a class="code" href="namespacearmnn.xhtml#a8f091a512915d1cb29a4ebf13dfc53ea">armnn::OutputTensors</a>& outputs,</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  std::vector<OutputShape> &outputShapes,</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <span class="keyword">const</span> Request& request,</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="keyword">const</span> std::vector<android::nn::RunTimePoolInfo>& memPools)<span class="keyword"> const</span></div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span> <span class="keyword"></span>{</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  outputs.reserve(request.outputs.size());</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < request.outputs.size(); i++)</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  {</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="keyword">auto</span>& outputArg = request.outputs[i];</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span> </div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo = m_Runtime-><a class="code" href="classarmnn_1_1_i_runtime.xhtml#a5dccecd36bb6eda573be616face68035">GetOutputTensorInfo</a>(m_NetworkId, i);</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <a class="code" href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a> outputTensor = GetTensorForRequestArgument(outputArg, outputTensorInfo, memPools);</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="keywordflow">if</span> (outputTensor.<a class="code" href="classarmnn_1_1_base_tensor.xhtml#aa81f67ac64f0c249e26499600c45d996">GetMemoryArea</a>() == <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  {</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  VLOG(DRIVER) << <span class="stringliteral">"Cannot execute request. Error converting request output "</span> << i << <span class="stringliteral">"to tensor."</span>;</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="keywordflow">return</span> ErrorStatus::GENERAL_FAILURE;</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  }</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span> </div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> outputSize = outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#abcbdfb544ece4c31d0b37715ad0f3be0">GetNumBytes</a>();</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span> </div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> count = 0;</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  std::for_each(outputArg.dimensions.begin(), outputArg.dimensions.end(), [&](<span class="keyword">auto</span> dim)</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  {</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="keywordflow">if</span> (dim != 0)</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  {</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[count] = dim;</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  }</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  {</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[count] = outputArg.dimensions.size();</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  }</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span> </div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  count++;</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  });</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span> </div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  outputs.emplace_back(i, outputTensor);</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  outputShapes[i] = <a class="code" href="namespacearmnn__driver.xhtml#a93d7282d7b5701a723304d87fcdc3a43">ComputeShape</a>(outputTensorInfo);</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span> </div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <span class="keywordflow">if</span> (outputArg.location.length < outputSize)</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  {</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  VLOG(DRIVER) << <span class="stringliteral">"ArmnnPreparedModel::Execute failed outputArg.location.length "</span></div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  << std::to_string(outputArg.location.length).c_str()</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  << <span class="stringliteral">" < outputSize "</span> << std::to_string(outputSize).c_str();</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  outputShapes[i].isSufficient = <span class="keyword">false</span>;</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keywordflow">return</span> ErrorStatus::OUTPUT_INSUFFICIENT_SIZE;</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  }</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span> </div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <span class="comment">//TODO: Need to check for Request::Argument::LifeTime::POINTER</span></div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <span class="keywordflow">if</span> (outputArg.lifetime == Request::Argument::LifeTime::POOL)</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  {</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="keywordtype">size_t</span> bufferSize = memPools.at(outputArg.location.poolIndex).getSize();</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <span class="keywordflow">if</span> (bufferSize < outputSize)</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  {</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  VLOG(DRIVER) << <span class="stringliteral">"ArmnnPreparedModel::Execute failed bufferSize "</span></div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  << std::to_string(outputArg.location.length).c_str()</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  << <span class="stringliteral">" < outputSize "</span> << std::to_string(outputSize).c_str();</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  outputShapes[i].isSufficient = <span class="keyword">false</span>;</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="keywordflow">return</span> ErrorStatus::OUTPUT_INSUFFICIENT_SIZE;</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  }</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  }</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  }</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="keywordflow">return</span> ErrorStatus::NONE;</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span> }</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span> </div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span> <a class="code" href="namespacearmnn__driver.xhtml#a1fa5070fa0d079873acaf7581de8a2ad">ErrorStatus</a> ArmnnPreparedModel::PrepareMemoryForIO(<a class="code" href="namespacearmnn.xhtml#aa01bce88f89975a5a031db4cc8861527">armnn::InputTensors</a>& inputs,</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <a class="code" href="namespacearmnn.xhtml#a8f091a512915d1cb29a4ebf13dfc53ea">armnn::OutputTensors</a>& outputs,</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  std::vector<android::nn::RunTimePoolInfo>& memPools,</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <span class="keyword">const</span> Request& request,</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> pointerMemory)<span class="keyword"> const</span></div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span> <span class="keyword"></span>{</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="comment">//Check memory pools are not empty</span></div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="comment">// add the inputs and outputs with their data</span></div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <span class="keywordflow">try</span></div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  {</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="keywordflow">if</span> (!pointerMemory && !setRunTimePoolInfosFromMemoryPools(&memPools, request.pools))</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  {</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <span class="keywordflow">return</span> ErrorStatus::INVALID_ARGUMENT;</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  }</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span> </div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="keywordflow">if</span> (PrepareMemoryForInputs(inputs, request, memPools) != ErrorStatus::NONE)</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  {</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  VLOG(DRIVER) << <span class="stringliteral">"Failed when preparing memory for Inputs"</span>;</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <span class="keywordflow">return</span> ErrorStatus::GENERAL_FAILURE;</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  }</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span> </div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  std::vector<OutputShape> outputShapes(request.outputs.size());</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span> </div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <span class="keyword">auto</span> errorStatus = PrepareMemoryForOutputs(outputs, outputShapes, request, memPools);</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <span class="keywordflow">if</span> (errorStatus != ErrorStatus::NONE)</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  {</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <span class="keywordflow">return</span> errorStatus;</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  }</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  }</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <span class="keywordflow">catch</span> (<a class="code" href="classarmnn_1_1_exception.xhtml">armnn::Exception</a>& e)</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  {</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  VLOG(DRIVER) << <span class="stringliteral">"armnn::Exception caught while preparing for EnqueueWorkload: "</span> << e.<a class="code" href="classarmnn_1_1_exception.xhtml#abf843cbb29dec939d0731e491bab6f70">what</a>();</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  <span class="keywordflow">return</span> ErrorStatus::GENERAL_FAILURE;</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  }</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  <span class="keywordflow">catch</span> (std::exception& e)</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  {</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  VLOG(DRIVER) << <span class="stringliteral">"std::exception caught while preparing for EnqueueWorkload: "</span> << e.what();</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <span class="keywordflow">return</span> ErrorStatus::GENERAL_FAILURE;</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  }</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span> </div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <span class="keywordflow">return</span> ErrorStatus::NONE;</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span> }</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span> </div><div class="line"><a name="l00295"></a><span class="lineno"><a class="line" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#a67e5c38788f9b0152baee24e8f57bc2b"> 295</a></span> ExecutionResult<std::pair<std::vector<OutputShape>, Timing>> <a class="code" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#a67e5c38788f9b0152baee24e8f57bc2b">ArmnnPreparedModel::execute</a>(</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  <span class="keyword">const</span> Request& request,</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  MeasureTiming measureTiming,</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <span class="keyword">const</span> OptionalTimePoint& deadline,</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  <span class="keyword">const</span> OptionalDuration&,</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  <span class="keyword">const</span> std::vector<android::nn::TokenValuePair>& hints,</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="keyword">const</span> std::vector<android::nn::ExtensionNameAndPrefix>& extensionNameToPrefix)<span class="keyword"> const</span></div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span> <span class="keyword"></span>{</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  VLOG(DRIVER) << <span class="stringliteral">"CanonicalDriver::PreparedModel::execute()"</span>;</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span> </div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  <a class="code" href="structarmnn__driver_1_1_canonical_execution_context.xhtml">CanonicalExecutionContext</a> ctx;</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <span class="keywordflow">if</span> (measureTiming == MeasureTiming::YES)</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  {</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  ctx.<a class="code" href="structarmnn__driver_1_1_canonical_execution_context.xhtml#aeb7cb4ac5b343a8eb2efd91aeee37743">measureTimings</a> = measureTiming;</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  ctx.<a class="code" href="structarmnn__driver_1_1_canonical_execution_context.xhtml#ab6f19cc463ef7a388af5de182a393ed2">driverStart</a> = Clock::now();</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  }</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span> </div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  <span class="keywordflow">if</span> (!m_PrepareFromCache)</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  {</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <span class="keyword">const</span> <span class="keyword">auto</span> modelRequest = validateRequestForModel(request, m_Model);</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <span class="keywordflow">if</span> (!modelRequest.ok())</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  {</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::INVALID_ARGUMENT) << modelRequest.error();</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  }</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  VLOG(DRIVER) << <span class="stringliteral">"ArmnnPreparedModel::execute(): "</span> << <a class="code" href="namespacearmnn__driver.xhtml#a31b494d1b36f5ed7fc7556a0fbc2c17c">GetModelSummary</a>(m_Model).c_str();</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  }</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <span class="keywordflow">if</span> (hasDeadlinePassed(deadline))</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  {</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::MISSED_DEADLINE_PERSISTENT);</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  }</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span> </div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <span class="comment">// map the memory pool into shared pointers</span></div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <span class="comment">// use a shared memory pools vector on the heap, as it is passed to the request thread</span></div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <span class="keyword">auto</span> memPools = std::make_shared<std::vector<android::nn::RunTimePoolInfo>>();</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span> </div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  <span class="comment">// allocate the tensors on the heap, as they are passed to the request thread</span></div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <span class="keyword">auto</span> inputTensors = std::make_shared<armnn::InputTensors>();</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  <span class="keyword">auto</span> outputTensors = std::make_shared<armnn::OutputTensors>();</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span> </div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <span class="keyword">auto</span> isPointerTypeMemory = IsPointerTypeMemory(request);</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  <a class="code" href="namespacearmnn__driver.xhtml#a1fa5070fa0d079873acaf7581de8a2ad">ErrorStatus</a> theErrorStatus = PrepareMemoryForIO(*inputTensors,</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  *outputTensors,</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  *memPools,</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  request,</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  isPointerTypeMemory);</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span> </div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  <span class="keywordflow">switch</span>(theErrorStatus)</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  {</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <span class="keywordflow">case</span> ErrorStatus::OUTPUT_INSUFFICIENT_SIZE:</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::OUTPUT_INSUFFICIENT_SIZE);</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <span class="keywordflow">case</span> ErrorStatus::GENERAL_FAILURE:</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::GENERAL_FAILURE);</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="keywordflow">case</span> ErrorStatus::INVALID_ARGUMENT:</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::INVALID_ARGUMENT);</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  {}</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  }</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span> </div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  std::vector<OutputShape> outputShapes(outputTensors->size());</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < outputTensors->size(); i++)</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  {</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  std::pair<int, armnn::Tensor> outputTensorPair = (*outputTensors)[i];</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a> outputTensor = outputTensorPair.second;</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo = outputTensor.<a class="code" href="classarmnn_1_1_base_tensor.xhtml#a8aeddebdcf02e1832b22203c08a6b678">GetInfo</a>();</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span> </div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  outputShapes[i] = <a class="code" href="namespacearmnn__driver.xhtml#a93d7282d7b5701a723304d87fcdc3a43">ComputeShape</a>(outputTensorInfo);</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  }</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  Timing theTiming;</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span> </div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  VLOG(DRIVER) << <span class="stringliteral">"ArmnnPreparedModel::execute(...) before ExecuteGraph"</span>;</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  <span class="keyword">auto</span> errorStatus = <a class="code" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#af62ba010a5b9f3187cfeb50db1dcad0a">ExecuteGraph</a>(memPools, *inputTensors, *outputTensors, ctx, isPointerTypeMemory);</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  <span class="keywordflow">if</span> (errorStatus != ErrorStatus::NONE)</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  {</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <span class="keywordflow">return</span> NN_ERROR(errorStatus) << <span class="stringliteral">"execute() failed"</span>;</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  }</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  VLOG(DRIVER) << <span class="stringliteral">"ArmnnPreparedModel::execute(...) after ExecuteGraph"</span>;</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span> </div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  <span class="keywordflow">return</span> std::make_pair(outputShapes, theTiming);</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span> }</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span> </div><div class="line"><a name="l00375"></a><span class="lineno"><a class="line" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#af62ba010a5b9f3187cfeb50db1dcad0a"> 375</a></span> <a class="code" href="namespacearmnn__driver.xhtml#a1fa5070fa0d079873acaf7581de8a2ad">ErrorStatus</a> <a class="code" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#af62ba010a5b9f3187cfeb50db1dcad0a">ArmnnPreparedModel::ExecuteGraph</a>(</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  std::shared_ptr<std::vector<android::nn::RunTimePoolInfo>>& pMemPools,</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  <a class="code" href="namespacearmnn.xhtml#aa01bce88f89975a5a031db4cc8861527">armnn::InputTensors</a>& inputTensors,</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  <a class="code" href="namespacearmnn.xhtml#a8f091a512915d1cb29a4ebf13dfc53ea">armnn::OutputTensors</a>& outputTensors,</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  <a class="code" href="structarmnn__driver_1_1_canonical_execution_context.xhtml">CanonicalExecutionContext</a> ctx,</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> pointerMemory)<span class="keyword"> const</span></div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span> <span class="keyword"></span>{</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  VLOG(DRIVER) << <span class="stringliteral">"ArmnnPreparedModel::ExecuteGraph(...)"</span>;</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span> </div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  DumpTensorsIfRequired(<span class="stringliteral">"Input"</span>, inputTensors);</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  std::vector<armnn::ImportedInputId> importedInputIds;</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  std::vector<armnn::ImportedOutputId> importedOutputIds;</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  <span class="keywordflow">try</span></div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  {</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  <span class="keywordflow">if</span> (ctx.<a class="code" href="structarmnn__driver_1_1_canonical_execution_context.xhtml#aeb7cb4ac5b343a8eb2efd91aeee37743">measureTimings</a> == MeasureTiming::YES)</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  {</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  ctx.<a class="code" href="structarmnn__driver_1_1_canonical_execution_context.xhtml#a6da5957063ca094917c6e5bfeac65898">deviceStart</a> = Clock::now();</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  }</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a> status;</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  VLOG(DRIVER) << <span class="stringliteral">"ArmnnPreparedModel::ExecuteGraph m_AsyncModelExecutionEnabled false"</span>;</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  importedInputIds = m_Runtime-><a class="code" href="classarmnn_1_1_i_runtime.xhtml#ac2cb56a0d7ee6fb53e9f97e624973c19">ImportInputs</a>(m_NetworkId, inputTensors, <a class="code" href="namespacearmnn.xhtml#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">armnn::MemorySource::Malloc</a>);</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  <span class="keywordflow">if</span> (!importedInputIds.empty())</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  {</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  <span class="comment">// Some or all of the input tensors been imported. We need to remove the ones that could from</span></div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  <span class="comment">// inputTensors.</span></div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  <span class="keywordflow">for</span> (<a class="code" href="namespacearmnn.xhtml#a1c5ec805688cb558465a82a8d9f56a90">armnn::ImportedInputId</a>& importedId : importedInputIds)</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  {</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  inputTensors.erase(</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  std::remove_if(</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  inputTensors.begin(), inputTensors.end(),</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  [&importedId](std::pair<armnn::LayerBindingId, class armnn::ConstTensor>& element) {</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <span class="keywordflow">return</span> (element.first == static_cast<int>(importedId));</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  }),</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  inputTensors.end());</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  }</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  }</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  importedOutputIds = m_Runtime-><a class="code" href="classarmnn_1_1_i_runtime.xhtml#a7db39b06bc7f50287f54320d26df4373">ImportOutputs</a>(m_NetworkId, outputTensors, <a class="code" href="namespacearmnn.xhtml#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">armnn::MemorySource::Malloc</a>);</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  <span class="keywordflow">if</span> (!importedOutputIds.empty())</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  {</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  <span class="comment">// Some or all of the output tensors could not be imported. We need to remove the ones that could</span></div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  <span class="comment">// from outputTensors.</span></div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  <span class="keywordflow">for</span> (<a class="code" href="namespacearmnn.xhtml#a1c5ec805688cb558465a82a8d9f56a90">armnn::ImportedInputId</a>& importedId : importedOutputIds)</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  {</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  outputTensors.erase(</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  std::remove_if(</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  outputTensors.begin(), outputTensors.end(),</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  [&importedId](std::pair<armnn::LayerBindingId, class armnn::Tensor>& element) {</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  <span class="keywordflow">return</span> (element.first == static_cast<int>(importedId));</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  }),</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  outputTensors.end());</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  }</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  }</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  status = m_Runtime-><a class="code" href="classarmnn_1_1_i_runtime.xhtml#aca51209383683ab8dbe801bbfddfe0c0">EnqueueWorkload</a>(m_NetworkId,</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  inputTensors,</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  outputTensors,</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  importedInputIds,</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  importedOutputIds);</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span> </div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  <span class="keywordflow">if</span> (ctx.<a class="code" href="structarmnn__driver_1_1_canonical_execution_context.xhtml#aeb7cb4ac5b343a8eb2efd91aeee37743">measureTimings</a> == MeasureTiming::YES)</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  {</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  ctx.<a class="code" href="structarmnn__driver_1_1_canonical_execution_context.xhtml#ac4711bb6ab33a33529c62c2c6842a831">deviceEnd</a> = Clock::now();</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  }</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  <span class="keywordflow">if</span> (status != <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">armnn::Status::Success</a>)</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  {</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  VLOG(DRIVER) << <span class="stringliteral">"ArmnnPreparedModel:ExecuteGraph EnqueueWorkload failed"</span>;</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  <span class="keywordflow">return</span> ErrorStatus::GENERAL_FAILURE;</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  }</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  }</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  <span class="keywordflow">catch</span> (<a class="code" href="classarmnn_1_1_exception.xhtml">armnn::Exception</a>& e)</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  {</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  VLOG(DRIVER) << <span class="stringliteral">"armnn:Exception caught from EnqueueWorkload: "</span> << e.<a class="code" href="classarmnn_1_1_exception.xhtml#abf843cbb29dec939d0731e491bab6f70">what</a>();</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  <span class="keywordflow">return</span> ErrorStatus::GENERAL_FAILURE;</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  }</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <span class="keywordflow">catch</span> (std::exception& e)</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  {</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  VLOG(DRIVER) << <span class="stringliteral">"std::exception caught from EnqueueWorkload: "</span> << e.what();</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  <span class="keywordflow">return</span> ErrorStatus::GENERAL_FAILURE;</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  }</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span> </div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  <span class="keywordflow">if</span> (!pointerMemory && (!importedInputIds.empty() || !importedOutputIds.empty()))</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  {</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <a class="code" href="namespacearmnn__driver.xhtml#a7c1c80ee0f432b6b621c40571410195a">CommitPools</a>(*pMemPools);</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  }</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  DumpTensorsIfRequired(<span class="stringliteral">"Output"</span>, outputTensors);</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span> </div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  <span class="keywordflow">if</span> (ctx.<a class="code" href="structarmnn__driver_1_1_canonical_execution_context.xhtml#aeb7cb4ac5b343a8eb2efd91aeee37743">measureTimings</a> == MeasureTiming::YES)</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  {</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  ctx.<a class="code" href="structarmnn__driver_1_1_canonical_execution_context.xhtml#a45f03338910173fc12dd2ac19521a742">driverEnd</a> = Clock::now();</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  Timing timing;</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  timing.timeOnDevice = ctx.<a class="code" href="structarmnn__driver_1_1_canonical_execution_context.xhtml#ac4711bb6ab33a33529c62c2c6842a831">deviceEnd</a> - ctx.<a class="code" href="structarmnn__driver_1_1_canonical_execution_context.xhtml#a6da5957063ca094917c6e5bfeac65898">deviceStart</a>;</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  timing.timeInDriver = ctx.<a class="code" href="structarmnn__driver_1_1_canonical_execution_context.xhtml#a45f03338910173fc12dd2ac19521a742">driverEnd</a> - ctx.<a class="code" href="structarmnn__driver_1_1_canonical_execution_context.xhtml#ab6f19cc463ef7a388af5de182a393ed2">driverStart</a>;</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  VLOG(DRIVER) << <span class="stringliteral">"ArmnnPreparedModel::execute timing - Device = "</span></div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  << timing.timeOnDevice << <span class="stringliteral">"Driver = "</span> << timing.timeInDriver;</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  }</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  <span class="keywordflow">return</span> ErrorStatus::NONE;</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span> }</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span> </div><div class="line"><a name="l00472"></a><span class="lineno"><a class="line" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#ac88833eb361390437abc2a81ab43d04a"> 472</a></span> Priority <a class="code" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#ac88833eb361390437abc2a81ab43d04a">ArmnnPreparedModel::GetModelPriority</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span> <span class="keyword"></span>{</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  <span class="keywordflow">return</span> m_ModelPriority;</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span> }</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span> </div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span> </div><div class="line"><a name="l00478"></a><span class="lineno"><a class="line" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#a8d70cd869c7c1eda1c5891ba7e015661"> 478</a></span> GeneralResult<std::pair<SyncFence, ExecuteFencedInfoCallback>> <a class="code" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#a8d70cd869c7c1eda1c5891ba7e015661">ArmnnPreparedModel::executeFenced</a>(</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  <span class="keyword">const</span> Request& request,</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  <span class="keyword">const</span> std::vector<SyncFence>& waitFor,</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  MeasureTiming measureTiming,</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  <span class="keyword">const</span> OptionalTimePoint& deadline,</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  <span class="keyword">const</span> OptionalDuration&,</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  <span class="keyword">const</span> OptionalDuration&,</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  <span class="keyword">const</span> std::vector<android::nn::TokenValuePair>& hints,</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  <span class="keyword">const</span> std::vector<android::nn::ExtensionNameAndPrefix>& extensionNameToPrefix)<span class="keyword"> const</span></div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span> <span class="keyword"></span>{</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  VLOG(DRIVER) << <span class="stringliteral">"ArmnnPreparedModel::executeFenced()"</span>;</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span> </div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  <span class="keywordflow">if</span> (!m_PrepareFromCache) {</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  <span class="keyword">const</span> <span class="keyword">auto</span> modelRequest = validateRequestForModel(request, m_Model);</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  <span class="keywordflow">if</span> (!modelRequest.ok())</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  {</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::INVALID_ARGUMENT) << modelRequest.error();</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  }</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  VLOG(DRIVER) << <span class="stringliteral">"ArmnnPreparedModel::executeFenced(): "</span> << <a class="code" href="namespacearmnn__driver.xhtml#a31b494d1b36f5ed7fc7556a0fbc2c17c">GetModelSummary</a>(m_Model).c_str();</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  }</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  <span class="keywordflow">if</span> (hasDeadlinePassed(deadline))</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  {</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::MISSED_DEADLINE_PERSISTENT);</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  }</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span> </div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  <a class="code" href="structarmnn__driver_1_1_canonical_execution_context.xhtml">CanonicalExecutionContext</a> ctx;</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  <span class="keywordflow">if</span> (measureTiming == MeasureTiming::YES)</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  {</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  ctx.<a class="code" href="structarmnn__driver_1_1_canonical_execution_context.xhtml#aeb7cb4ac5b343a8eb2efd91aeee37743">measureTimings</a> = measureTiming;</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  ctx.<a class="code" href="structarmnn__driver_1_1_canonical_execution_context.xhtml#ab6f19cc463ef7a388af5de182a393ed2">driverStart</a> = Clock::now();</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  }</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span> </div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  <span class="comment">// Wait for the dependent events to signal</span></div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>& syncFence : waitFor)</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  {</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  <span class="keywordflow">if</span> (!syncFence.getSharedHandle())</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  {</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::INVALID_ARGUMENT);</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  }</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  <span class="keywordflow">if</span> (syncFence.syncWait({}) != SyncFence::FenceState::SIGNALED)</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  {</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::GENERAL_FAILURE) << <span class="stringliteral">"syncWait failed"</span>;</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  }</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  }</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span> </div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  android::nn::TimePoint fenceExecutionStart;</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  <span class="keywordflow">if</span> (measureTiming == MeasureTiming::YES)</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  {</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  fenceExecutionStart = Clock::now();</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  }</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span> </div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  <span class="comment">// map the memory pool into shared pointers</span></div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  <span class="comment">// use a shared memory pools vector on the heap, as it is passed to the request thread</span></div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  <span class="keyword">auto</span> memPools = std::make_shared<std::vector<android::nn::RunTimePoolInfo>>();</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span> </div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  <span class="comment">// allocate the tensors on the heap, as they are passed to the request thread</span></div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  <span class="keyword">auto</span> inputTensors = std::make_shared<armnn::InputTensors>();</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  <span class="keyword">auto</span> outputTensors = std::make_shared<armnn::OutputTensors>();</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span> </div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  <span class="keyword">auto</span> isPointerTypeMemory = IsPointerTypeMemory(request);</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  <a class="code" href="namespacearmnn__driver.xhtml#a1fa5070fa0d079873acaf7581de8a2ad">ErrorStatus</a> theErrorStatus = PrepareMemoryForIO(*inputTensors,</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  *outputTensors,</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  *memPools,</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  request,</div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  isPointerTypeMemory);</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span> </div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  <span class="keywordflow">if</span> (theErrorStatus != ErrorStatus::NONE)</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  {</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::INVALID_ARGUMENT) << <span class="stringliteral">"executeFenced() failed"</span>;</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  }</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span> </div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  Timing timingSinceLaunch = {};</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  Timing timingAfterFence = {};</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  <span class="keywordflow">if</span> (measureTiming == MeasureTiming::YES)</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  {</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  timingAfterFence.timeOnDevice = ctx.<a class="code" href="structarmnn__driver_1_1_canonical_execution_context.xhtml#ac4711bb6ab33a33529c62c2c6842a831">deviceEnd</a> - ctx.<a class="code" href="structarmnn__driver_1_1_canonical_execution_context.xhtml#a6da5957063ca094917c6e5bfeac65898">deviceStart</a>;</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  timingAfterFence.timeInDriver = ctx.<a class="code" href="structarmnn__driver_1_1_canonical_execution_context.xhtml#a45f03338910173fc12dd2ac19521a742">driverEnd</a> - fenceExecutionStart;</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  VLOG(DRIVER) << <span class="stringliteral">"executeFenced timingSinceLaunch = "</span> << timingAfterFence.timeOnDevice;</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  VLOG(DRIVER) << <span class="stringliteral">"executeFenced timingAfterFence = "</span> << timingAfterFence.timeInDriver;</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  }</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span> </div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  VLOG(DRIVER) << <span class="stringliteral">"ArmnnCanonicalPreparedModel::executeFenced(...) before ExecuteGraph"</span>;</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  <span class="keyword">auto</span> errorStatus = <a class="code" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#af62ba010a5b9f3187cfeb50db1dcad0a">ExecuteGraph</a>(memPools, *inputTensors, *outputTensors, ctx, isPointerTypeMemory);</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  VLOG(DRIVER) << <span class="stringliteral">"ArmnnCanonicalPreparedModel::executeFenced(...) after ExecuteGraph"</span>;</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span> </div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  ExecuteFencedInfoCallback armnnFencedExecutionCallback =</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  [timingSinceLaunch, timingAfterFence, errorStatus]() {</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span> </div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  GeneralResult<std::pair<Timing, Timing>> result;</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span> </div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  <span class="keywordflow">switch</span>(errorStatus)</div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  {</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  <span class="keywordflow">case</span> ErrorStatus::OUTPUT_INSUFFICIENT_SIZE:</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  result.error().code = (ErrorStatus::OUTPUT_INSUFFICIENT_SIZE);</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  <span class="keywordflow">case</span> ErrorStatus::GENERAL_FAILURE:</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  result.error().code = (ErrorStatus::GENERAL_FAILURE);</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  <span class="keywordflow">case</span> ErrorStatus::INVALID_ARGUMENT:</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  result.error().code = (ErrorStatus::INVALID_ARGUMENT);</div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  {</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  result.value() = std::make_pair(timingSinceLaunch, timingAfterFence);</div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  }</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  }</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  };</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  <span class="keywordflow">return</span> std::make_pair(SyncFence::createAsSignaled(), std::move(armnnFencedExecutionCallback ));</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span> }</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span> </div><div class="line"><a name="l00586"></a><span class="lineno"><a class="line" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#ab108fedcef5c0d766444eb2def3b7bad"> 586</a></span> GeneralResult<SharedExecution> <a class="code" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#ab108fedcef5c0d766444eb2def3b7bad">ArmnnPreparedModel::createReusableExecution</a>(</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  <span class="keyword">const</span> Request& request,</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  MeasureTiming measureTiming,</div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  <span class="keyword">const</span> OptionalDuration& loopTimeoutDuration,</div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  <span class="keyword">const</span> std::vector<android::nn::TokenValuePair>& hints,</div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  <span class="keyword">const</span> std::vector<android::nn::ExtensionNameAndPrefix>& extensionNameToPrefix)<span class="keyword"> const</span></div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span> <span class="keyword"></span>{</div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  VLOG(DRIVER) << <span class="stringliteral">"ArmnnPreparedModel::createReusableExecution()"</span>;</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  <span class="keywordflow">return</span> std::make_shared<DefaultExecution>(shared_from_this(),</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  request,</div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  measureTiming,</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  loopTimeoutDuration);</div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span> }</div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span> </div><div class="line"><a name="l00600"></a><span class="lineno"><a class="line" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#a6d898cab83b5bb67f5b8f6a766ea245b"> 600</a></span> GeneralResult<SharedBurst> <a class="code" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#a6d898cab83b5bb67f5b8f6a766ea245b">ArmnnPreparedModel::configureExecutionBurst</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00601"></a><span class="lineno"> 601</span> <span class="keyword"></span>{</div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  <span class="comment">// TODO: Implement BURST</span></div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span> }</div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span> </div><div class="line"><a name="l00606"></a><span class="lineno"><a class="line" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#a0481f4c1ca5608339a5688daf256a4e4"> 606</a></span> std::any <a class="code" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#a0481f4c1ca5608339a5688daf256a4e4">ArmnnPreparedModel::getUnderlyingResource</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span> <span class="keyword"></span>{</div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  <span class="keywordflow">return</span> &m_Model;</div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span> }</div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span> </div><div class="line"><a name="l00611"></a><span class="lineno"> 611</span> <span class="keyword">template</span><<span class="keyword">typename</span> TensorBindingCollection></div><div class="line"><a name="l00612"></a><span class="lineno"> 612</span> <span class="keywordtype">void</span> ArmnnPreparedModel::DumpTensorsIfRequired(<span class="keywordtype">char</span> <span class="keyword">const</span>* tensorNamePrefix,</div><div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  <span class="keyword">const</span> TensorBindingCollection& tensorBindings)<span class="keyword"> const</span></div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span> <span class="keyword"></span>{</div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  <span class="keywordflow">if</span> (!m_RequestInputsAndOutputsDumpDir.empty())</div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  {</div><div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  <span class="keyword">const</span> std::string requestName = std::to_string(m_NetworkId) + <span class="stringliteral">".dump"</span>;</div><div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  <span class="keywordflow">for</span> (std::size_t i = 0u; i < tensorBindings.size(); ++i)</div><div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  {</div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  <a class="code" href="namespacearmnn__driver.xhtml#aa25bddb175983b2d3e0965440323d789">DumpTensor</a>(m_RequestInputsAndOutputsDumpDir,</div><div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  requestName,</div><div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  BuildTensorName(tensorNamePrefix, i),</div><div class="line"><a name="l00623"></a><span class="lineno"> 623</span>  tensorBindings[i].second);</div><div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  }</div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  }</div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span> }</div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span> </div><div class="line"><a name="l00628"></a><span class="lineno"><a class="line" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#ac8ea5639172e7326168e2b73ed07e47e"> 628</a></span> <a class="code" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#ac8ea5639172e7326168e2b73ed07e47e">ArmnnPreparedModel::~ArmnnPreparedModel</a>()</div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span> {</div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  VLOG(DRIVER) << <span class="stringliteral">"ArmnnPreparedModel::~ArmnnPreparedModel()"</span>;</div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  <span class="comment">// Get a hold of the profiler used by this model.</span></div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  <span class="keywordflow">if</span> (m_GpuProfilingEnabled)</div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  {</div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  <span class="keyword">auto</span> profiler = m_Runtime-><a class="code" href="classarmnn_1_1_i_runtime.xhtml#af87d0743d1266e264c3197a32299f4b2">GetProfiler</a>(m_NetworkId);</div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  <span class="keywordflow">if</span> (profiler)</div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  {</div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  <span class="comment">// Dump the profiling info to a file if required.</span></div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  <a class="code" href="namespacearmnn__driver.xhtml#aa313ae79f70102e3451d45d3387c2e46">DumpJsonProfilingIfRequired</a>(m_GpuProfilingEnabled,</div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  m_RequestInputsAndOutputsDumpDir,</div><div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  m_NetworkId,</div><div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  profiler.get());</div><div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  }</div><div class="line"><a name="l00643"></a><span class="lineno"> 643</span>  }</div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  <span class="comment">// Unload the network associated with this model</span></div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span>  m_Runtime-><a class="code" href="classarmnn_1_1_i_runtime.xhtml#aed397991b99f485ffab9a42aece47019">UnloadNetwork</a>(m_NetworkId);</div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span> }</div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span> </div><div class="line"><a name="l00648"></a><span class="lineno"><a class="line" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#ad84aace3d1df79ad6fa37dcd952c085f"> 648</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#ad84aace3d1df79ad6fa37dcd952c085f">ArmnnPreparedModel::ExecuteWithDummyInputs</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numInputs, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numOutputs)<span class="keyword"> const</span></div><div class="line"><a name="l00649"></a><span class="lineno"> 649</span> <span class="keyword"></span>{</div><div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  std::vector<std::vector<char>> storage;</div><div class="line"><a name="l00651"></a><span class="lineno"> 651</span>  <a class="code" href="namespacearmnn.xhtml#aa01bce88f89975a5a031db4cc8861527">armnn::InputTensors</a> inputTensors;</div><div class="line"><a name="l00652"></a><span class="lineno"> 652</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < numInputs; i++)</div><div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  {</div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo = m_Runtime-><a class="code" href="classarmnn_1_1_i_runtime.xhtml#a25f528b76d8116e08cddc7d4a8661ee1">GetInputTensorInfo</a>(m_NetworkId, i);</div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  <span class="comment">// pInputTensors (of type InputTensors) is composed of a vector of ConstTensors.</span></div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span>  <span class="comment">// Therefore, set all TensorInfo isConstant parameters of input Tensors to true.</span></div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8ffca1e21bdfa7f945617acd606aac91">SetConstant</a>();</div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  storage.emplace_back(inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#abcbdfb544ece4c31d0b37715ad0f3be0">GetNumBytes</a>());</div><div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a> inputTensor(inputTensorInfo, storage.back().data());</div><div class="line"><a name="l00660"></a><span class="lineno"> 660</span> </div><div class="line"><a name="l00661"></a><span class="lineno"> 661</span>  inputTensors.emplace_back(i, inputTensor);</div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  }</div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span> </div><div class="line"><a name="l00664"></a><span class="lineno"> 664</span>  <a class="code" href="namespacearmnn.xhtml#a8f091a512915d1cb29a4ebf13dfc53ea">armnn::OutputTensors</a> outputTensors;</div><div class="line"><a name="l00665"></a><span class="lineno"> 665</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < numOutputs; i++)</div><div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  {</div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo = m_Runtime-><a class="code" href="classarmnn_1_1_i_runtime.xhtml#a5dccecd36bb6eda573be616face68035">GetOutputTensorInfo</a>(m_NetworkId, i);</div><div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  storage.emplace_back(outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#abcbdfb544ece4c31d0b37715ad0f3be0">GetNumBytes</a>());</div><div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a> outputTensor(outputTensorInfo, storage.back().data());</div><div class="line"><a name="l00670"></a><span class="lineno"> 670</span> </div><div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  outputTensors.emplace_back(i, outputTensor);</div><div class="line"><a name="l00672"></a><span class="lineno"> 672</span>  }</div><div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  <a class="code" href="structarmnn__driver_1_1_canonical_execution_context.xhtml">CanonicalExecutionContext</a> ctx;</div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span>  ctx.<a class="code" href="structarmnn__driver_1_1_canonical_execution_context.xhtml#aeb7cb4ac5b343a8eb2efd91aeee37743">measureTimings</a> = MeasureTiming::NO;</div><div class="line"><a name="l00675"></a><span class="lineno"> 675</span>  <span class="keyword">auto</span> memPools = std::make_shared<std::vector<::android::nn::RunTimePoolInfo>>();</div><div class="line"><a name="l00676"></a><span class="lineno"> 676</span> </div><div class="line"><a name="l00677"></a><span class="lineno"> 677</span>  <span class="keyword">auto</span> errorStatus = <a class="code" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#af62ba010a5b9f3187cfeb50db1dcad0a">ExecuteGraph</a>(memPools,</div><div class="line"><a name="l00678"></a><span class="lineno"> 678</span>  inputTensors,</div><div class="line"><a name="l00679"></a><span class="lineno"> 679</span>  outputTensors,</div><div class="line"><a name="l00680"></a><span class="lineno"> 680</span>  ctx);</div><div class="line"><a name="l00681"></a><span class="lineno"> 681</span> </div><div class="line"><a name="l00682"></a><span class="lineno"> 682</span>  <span class="keywordflow">return</span> errorStatus == ErrorStatus::NONE;</div><div class="line"><a name="l00683"></a><span class="lineno"> 683</span> }</div><div class="line"><a name="l00684"></a><span class="lineno"> 684</span> </div><div class="line"><a name="l00685"></a><span class="lineno"> 685</span> } <span class="comment">// namespace armnn_driver</span></div><div class="ttc" id="structarmnn__driver_1_1_canonical_execution_context_xhtml_aeb7cb4ac5b343a8eb2efd91aeee37743"><div class="ttname"><a href="structarmnn__driver_1_1_canonical_execution_context.xhtml#aeb7cb4ac5b343a8eb2efd91aeee37743">armnn_driver::CanonicalExecutionContext::measureTimings</a></div><div class="ttdeci">::android::nn::MeasureTiming measureTimings</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8hpp_source.xhtml#l00031">ArmnnPreparedModel.hpp:31</a></div></div>
<div class="ttc" id="_canonical_utils_8hpp_xhtml"><div class="ttname"><a href="_canonical_utils_8hpp.xhtml">CanonicalUtils.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_runtime_xhtml_af87d0743d1266e264c3197a32299f4b2"><div class="ttname"><a href="classarmnn_1_1_i_runtime.xhtml#af87d0743d1266e264c3197a32299f4b2">armnn::IRuntime::GetProfiler</a></div><div class="ttdeci">const std::shared_ptr< IProfiler > GetProfiler(NetworkId networkId) const</div><div class="ttdoc">Gets the profiler corresponding to the given network id. </div><div class="ttdef"><b>Definition:</b> <a href="_runtime_8cpp_source.xhtml#l00148">Runtime.cpp:148</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00191">Tensor.hpp:191</a></div></div>
<div class="ttc" id="classarmnn__driver_1_1_armnn_prepared_model_xhtml_a6d898cab83b5bb67f5b8f6a766ea245b"><div class="ttname"><a href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#a6d898cab83b5bb67f5b8f6a766ea245b">armnn_driver::ArmnnPreparedModel::configureExecutionBurst</a></div><div class="ttdeci">GeneralResult< SharedBurst > configureExecutionBurst() const override</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8cpp_source.xhtml#l00600">ArmnnPreparedModel.cpp:600</a></div></div>
<div class="ttc" id="classarmnn__driver_1_1_armnn_prepared_model_xhtml_a8d70cd869c7c1eda1c5891ba7e015661"><div class="ttname"><a href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#a8d70cd869c7c1eda1c5891ba7e015661">armnn_driver::ArmnnPreparedModel::executeFenced</a></div><div class="ttdeci">GeneralResult< std::pair< SyncFence, ExecuteFencedInfoCallback > > executeFenced(const Request &request, const std::vector< SyncFence > &waitFor, MeasureTiming measureTiming, const OptionalTimePoint &deadline, const OptionalDuration &loopTimeoutDuration, const OptionalDuration &timeoutDurationAfterFence, const std::vector< android::nn::TokenValuePair > &hints, const std::vector< android::nn::ExtensionNameAndPrefix > &extensionNameToPrefix) const override</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8cpp_source.xhtml#l00478">ArmnnPreparedModel.cpp:478</a></div></div>
<div class="ttc" id="namespacearmnn__driver_xhtml_a1fa5070fa0d079873acaf7581de8a2ad"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a1fa5070fa0d079873acaf7581de8a2ad">armnn_driver::ErrorStatus</a></div><div class="ttdeci">::android::nn::ErrorStatus ErrorStatus</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.xhtml#l00049">ConversionUtils.hpp:49</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="structarmnn__driver_1_1_canonical_execution_context_xhtml_a6da5957063ca094917c6e5bfeac65898"><div class="ttname"><a href="structarmnn__driver_1_1_canonical_execution_context.xhtml#a6da5957063ca094917c6e5bfeac65898">armnn_driver::CanonicalExecutionContext::deviceStart</a></div><div class="ttdeci">android::nn::TimePoint deviceStart</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8hpp_source.xhtml#l00035">ArmnnPreparedModel.hpp:35</a></div></div>
<div class="ttc" id="classarmnn__driver_1_1_armnn_prepared_model_xhtml_af62ba010a5b9f3187cfeb50db1dcad0a"><div class="ttname"><a href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#af62ba010a5b9f3187cfeb50db1dcad0a">armnn_driver::ArmnnPreparedModel::ExecuteGraph</a></div><div class="ttdeci">ErrorStatus ExecuteGraph(std::shared_ptr< std::vector< android::nn::RunTimePoolInfo >> &pMemPools, armnn::InputTensors &inputTensors, armnn::OutputTensors &outputTensors, CanonicalExecutionContext callback, const bool pointerMemory=false) const</div><div class="ttdoc">execute the graph prepared from the request </div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8cpp_source.xhtml#l00375">ArmnnPreparedModel.cpp:375</a></div></div>
<div class="ttc" id="namespacearmnn__driver_xhtml_a96666c2945d7fe8c34aee30a449287d5"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a96666c2945d7fe8c34aee30a449287d5">armnn_driver::GetMemoryFromPool</a></div><div class="ttdeci">void * GetMemoryFromPool(DataLocation location, const std::vector< android::nn::RunTimePoolInfo > &memPools)</div><div class="ttdoc">Returns a pointer to a specific location in a pool`. </div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.xhtml#l00066">CanonicalUtils.cpp:66</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_abcbdfb544ece4c31d0b37715ad0f3be0"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#abcbdfb544ece4c31d0b37715ad0f3be0">armnn::TensorInfo::GetNumBytes</a></div><div class="ttdeci">unsigned int GetNumBytes() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00427">Tensor.cpp:427</a></div></div>
<div class="ttc" id="namespacearmnn__driver_xhtml_a93d7282d7b5701a723304d87fcdc3a43"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a93d7282d7b5701a723304d87fcdc3a43">armnn_driver::ComputeShape</a></div><div class="ttdeci">OutputShape ComputeShape(const armnn::TensorInfo &info)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8hpp_source.xhtml#l00095">CanonicalUtils.hpp:95</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_runtime_xhtml_a25f528b76d8116e08cddc7d4a8661ee1"><div class="ttname"><a href="classarmnn_1_1_i_runtime.xhtml#a25f528b76d8116e08cddc7d4a8661ee1">armnn::IRuntime::GetInputTensorInfo</a></div><div class="ttdeci">TensorInfo GetInputTensorInfo(NetworkId networkId, LayerBindingId layerId) const</div><div class="ttdef"><b>Definition:</b> <a href="_runtime_8cpp_source.xhtml#l00079">Runtime.cpp:79</a></div></div>
<div class="ttc" id="classarmnn_1_1_exception_xhtml_abf843cbb29dec939d0731e491bab6f70"><div class="ttname"><a href="classarmnn_1_1_exception.xhtml#abf843cbb29dec939d0731e491bab6f70">armnn::Exception::what</a></div><div class="ttdeci">virtual const char * what() const noexcept override</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8cpp_source.xhtml#l00032">Exceptions.cpp:32</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_aa01bce88f89975a5a031db4cc8861527"><div class="ttname"><a href="namespacearmnn.xhtml#aa01bce88f89975a5a031db4cc8861527">armnn::InputTensors</a></div><div class="ttdeci">std::vector< std::pair< LayerBindingId, class ConstTensor > > InputTensors</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00392">Tensor.hpp:392</a></div></div>
<div class="ttc" id="namespacearmnn__driver_xhtml_a31b494d1b36f5ed7fc7556a0fbc2c17c"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a31b494d1b36f5ed7fc7556a0fbc2c17c">armnn_driver::GetModelSummary</a></div><div class="ttdeci">std::string GetModelSummary(const Model &model)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.xhtml#l00521">CanonicalUtils.cpp:521</a></div></div>
<div class="ttc" id="classarmnn_1_1_base_tensor_xhtml_aa81f67ac64f0c249e26499600c45d996"><div class="ttname"><a href="classarmnn_1_1_base_tensor.xhtml#aa81f67ac64f0c249e26499600c45d996">armnn::BaseTensor::GetMemoryArea</a></div><div class="ttdeci">MemoryType GetMemoryArea() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00305">Tensor.hpp:305</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_runtime_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_runtime.xhtml">armnn::IRuntime</a></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="namespacearmnn__driver_xhtml_aa25bddb175983b2d3e0965440323d789"><div class="ttname"><a href="namespacearmnn__driver.xhtml#aa25bddb175983b2d3e0965440323d789">armnn_driver::DumpTensor</a></div><div class="ttdeci">void DumpTensor(const std::string &dumpDir, const std::string &requestName, const std::string &tensorName, const TensorType &tensor)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.xhtml#l00217">CanonicalUtils.cpp:217</a></div></div>
<div class="ttc" id="structarmnn__driver_1_1_canonical_execution_context_xhtml"><div class="ttname"><a href="structarmnn__driver_1_1_canonical_execution_context.xhtml">armnn_driver::CanonicalExecutionContext</a></div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8hpp_source.xhtml#l00029">ArmnnPreparedModel.hpp:29</a></div></div>
<div class="ttc" id="namespaceandroid_xhtml"><div class="ttname"><a href="namespaceandroid.xhtml">android</a></div></div>
<div class="ttc" id="classarmnn__driver_1_1_armnn_prepared_model_xhtml_ad84aace3d1df79ad6fa37dcd952c085f"><div class="ttname"><a href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#ad84aace3d1df79ad6fa37dcd952c085f">armnn_driver::ArmnnPreparedModel::ExecuteWithDummyInputs</a></div><div class="ttdeci">bool ExecuteWithDummyInputs(unsigned int numInputs, unsigned int numOutputs) const</div><div class="ttdoc">Executes this model with dummy inputs (e.g. </div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8cpp_source.xhtml#l00648">ArmnnPreparedModel.cpp:648</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and a mutable backing store. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00319">Tensor.hpp:319</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38"><div class="ttname"><a href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">armnn::Status::Success</a></div></div>
<div class="ttc" id="namespacearmnn__driver_xhtml_a923b39ec5f83672f50289cbaf5de6798"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">armnn_driver::Model</a></div><div class="ttdeci">::android::nn::Model Model</div><div class="ttdoc">Helper classes. </div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.xhtml#l00043">ConversionUtils.hpp:43</a></div></div>
<div class="ttc" id="structarmnn__driver_1_1_canonical_execution_context_xhtml_ab6f19cc463ef7a388af5de182a393ed2"><div class="ttname"><a href="structarmnn__driver_1_1_canonical_execution_context.xhtml#ab6f19cc463ef7a388af5de182a393ed2">armnn_driver::CanonicalExecutionContext::driverStart</a></div><div class="ttdeci">android::nn::TimePoint driverStart</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8hpp_source.xhtml#l00033">ArmnnPreparedModel.hpp:33</a></div></div>
<div class="ttc" id="classarmnn__driver_1_1_armnn_prepared_model_xhtml_ac88833eb361390437abc2a81ab43d04a"><div class="ttname"><a href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#ac88833eb361390437abc2a81ab43d04a">armnn_driver::ArmnnPreparedModel::GetModelPriority</a></div><div class="ttdeci">Priority GetModelPriority() const</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8cpp_source.xhtml#l00472">ArmnnPreparedModel.cpp:472</a></div></div>
<div class="ttc" id="namespacearmnn__driver_xhtml_a915f2652854e417e26afc297f12e107c"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a915f2652854e417e26afc297f12e107c">armnn_driver::GetMemoryFromPointer</a></div><div class="ttdeci">void * GetMemoryFromPointer(const Request::Argument &requestArg)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.xhtml#l00077">CanonicalUtils.cpp:77</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a0d8160388a127c1a23b37bc88dc6e2ec"><div class="ttname"><a href="namespacearmnn.xhtml#a0d8160388a127c1a23b37bc88dc6e2ec">armnn::NetworkId</a></div><div class="ttdeci">int NetworkId</div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.xhtml#l00035">IRuntime.hpp:35</a></div></div>
<div class="ttc" id="classarmnn_1_1_const_tensor_xhtml"><div class="ttname"><a href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and an immutable backing store. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00327">Tensor.hpp:327</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_runtime_xhtml_aed397991b99f485ffab9a42aece47019"><div class="ttname"><a href="classarmnn_1_1_i_runtime.xhtml#aed397991b99f485ffab9a42aece47019">armnn::IRuntime::UnloadNetwork</a></div><div class="ttdeci">Status UnloadNetwork(NetworkId networkId)</div><div class="ttdoc">Unloads a network from the IRuntime. </div><div class="ttdef"><b>Definition:</b> <a href="_runtime_8cpp_source.xhtml#l00133">Runtime.cpp:133</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a8f091a512915d1cb29a4ebf13dfc53ea"><div class="ttname"><a href="namespacearmnn.xhtml#a8f091a512915d1cb29a4ebf13dfc53ea">armnn::OutputTensors</a></div><div class="ttdeci">std::vector< std::pair< LayerBindingId, class Tensor > > OutputTensors</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00393">Tensor.hpp:393</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a67a0db04d321a74b7e7fcfd3f1a3f70b"><div class="ttname"><a href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a></div><div class="ttdeci">Status</div><div class="ttdoc">enumeration </div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00042">Types.hpp:42</a></div></div>
<div class="ttc" id="_armnn_prepared_model_8hpp_xhtml"><div class="ttname"><a href="_armnn_prepared_model_8hpp.xhtml">ArmnnPreparedModel.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_runtime_xhtml_aca51209383683ab8dbe801bbfddfe0c0"><div class="ttname"><a href="classarmnn_1_1_i_runtime.xhtml#aca51209383683ab8dbe801bbfddfe0c0">armnn::IRuntime::EnqueueWorkload</a></div><div class="ttdeci">Status EnqueueWorkload(NetworkId networkId, const InputTensors &inputTensors, const OutputTensors &outputTensors, std::vector< ImportedInputId > preImportedInputIds={}, std::vector< ImportedOutputId > preImportedOutputIds={})</div><div class="ttdoc">Evaluates a network using input in inputTensors and outputs filled into outputTensors. </div><div class="ttdef"><b>Definition:</b> <a href="_runtime_8cpp_source.xhtml#l00110">Runtime.cpp:110</a></div></div>
<div class="ttc" id="namespaceandroid_1_1nn_xhtml"><div class="ttname"><a href="namespaceandroid_1_1nn.xhtml">android::nn</a></div><div class="ttdef"><b>Definition:</b> <a href="support__library__service_8cpp_source.xhtml#l00010">support_library_service.cpp:10</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523"><div class="ttname"><a href="namespacearmnn.xhtml#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">armnn::MemorySource::Malloc</a></div></div>
<div class="ttc" id="classarmnn__driver_1_1_armnn_prepared_model_xhtml_ac8ea5639172e7326168e2b73ed07e47e"><div class="ttname"><a href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#ac8ea5639172e7326168e2b73ed07e47e">armnn_driver::ArmnnPreparedModel::~ArmnnPreparedModel</a></div><div class="ttdeci">virtual ~ArmnnPreparedModel()</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8cpp_source.xhtml#l00628">ArmnnPreparedModel.cpp:628</a></div></div>
<div class="ttc" id="classarmnn_1_1_base_tensor_xhtml_a8aeddebdcf02e1832b22203c08a6b678"><div class="ttname"><a href="classarmnn_1_1_base_tensor.xhtml#a8aeddebdcf02e1832b22203c08a6b678">armnn::BaseTensor::GetInfo</a></div><div class="ttdeci">const TensorInfo & GetInfo() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00295">Tensor.hpp:295</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a1c5ec805688cb558465a82a8d9f56a90"><div class="ttname"><a href="namespacearmnn.xhtml#a1c5ec805688cb558465a82a8d9f56a90">armnn::ImportedInputId</a></div><div class="ttdeci">unsigned int ImportedInputId</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00291">Types.hpp:291</a></div></div>
<div class="ttc" id="classarmnn__driver_1_1_armnn_prepared_model_xhtml_a4905d77691ee9a2e9705e90557f64c2b"><div class="ttname"><a href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#a4905d77691ee9a2e9705e90557f64c2b">armnn_driver::ArmnnPreparedModel::ArmnnPreparedModel</a></div><div class="ttdeci">ArmnnPreparedModel(armnn::NetworkId networkId, armnn::IRuntime *runtime, const Model &model, const std::string &requestInputsAndOutputsDumpDir, const bool gpuProfilingEnabled, Priority priority=Priority::MEDIUM)</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8cpp_source.xhtml#l00126">ArmnnPreparedModel.cpp:126</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_runtime_xhtml_ac2cb56a0d7ee6fb53e9f97e624973c19"><div class="ttname"><a href="classarmnn_1_1_i_runtime.xhtml#ac2cb56a0d7ee6fb53e9f97e624973c19">armnn::IRuntime::ImportInputs</a></div><div class="ttdeci">std::vector< ImportedInputId > ImportInputs(NetworkId networkId, const InputTensors &inputTensors, MemorySource forceImportMemorySource=MemorySource::Undefined)</div><div class="ttdoc">ImportInputs separates the importing and mapping of InputTensors from network execution. </div><div class="ttdef"><b>Definition:</b> <a href="_runtime_8cpp_source.xhtml#l00089">Runtime.cpp:89</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_runtime_xhtml_a5dccecd36bb6eda573be616face68035"><div class="ttname"><a href="classarmnn_1_1_i_runtime.xhtml#a5dccecd36bb6eda573be616face68035">armnn::IRuntime::GetOutputTensorInfo</a></div><div class="ttdeci">TensorInfo GetOutputTensorInfo(NetworkId networkId, LayerBindingId layerId) const</div><div class="ttdef"><b>Definition:</b> <a href="_runtime_8cpp_source.xhtml#l00084">Runtime.cpp:84</a></div></div>
<div class="ttc" id="structarmnn__driver_1_1_canonical_execution_context_xhtml_ac4711bb6ab33a33529c62c2c6842a831"><div class="ttname"><a href="structarmnn__driver_1_1_canonical_execution_context.xhtml#ac4711bb6ab33a33529c62c2c6842a831">armnn_driver::CanonicalExecutionContext::deviceEnd</a></div><div class="ttdeci">android::nn::TimePoint deviceEnd</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8hpp_source.xhtml#l00036">ArmnnPreparedModel.hpp:36</a></div></div>
<div class="ttc" id="classarmnn__driver_1_1_armnn_prepared_model_xhtml_a67e5c38788f9b0152baee24e8f57bc2b"><div class="ttname"><a href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#a67e5c38788f9b0152baee24e8f57bc2b">armnn_driver::ArmnnPreparedModel::execute</a></div><div class="ttdeci">ExecutionResult< std::pair< std::vector< OutputShape >, Timing > > execute(const Request &request, MeasureTiming measureTiming, const OptionalTimePoint &deadline, const OptionalDuration &loopTimeoutDuration, const std::vector< android::nn::TokenValuePair > &hints, const std::vector< android::nn::ExtensionNameAndPrefix > &extensionNameToPrefix) const override</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8cpp_source.xhtml#l00295">ArmnnPreparedModel.cpp:295</a></div></div>
<div class="ttc" id="classarmnn_1_1_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_exception.xhtml">armnn::Exception</a></div><div class="ttdoc">Base class for all ArmNN exceptions so that users can filter to just those. </div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00046">Exceptions.hpp:46</a></div></div>
<div class="ttc" id="structarmnn__driver_1_1_canonical_execution_context_xhtml_a45f03338910173fc12dd2ac19521a742"><div class="ttname"><a href="structarmnn__driver_1_1_canonical_execution_context.xhtml#a45f03338910173fc12dd2ac19521a742">armnn_driver::CanonicalExecutionContext::driverEnd</a></div><div class="ttdeci">android::nn::TimePoint driverEnd</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8hpp_source.xhtml#l00034">ArmnnPreparedModel.hpp:34</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8ffca1e21bdfa7f945617acd606aac91"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8ffca1e21bdfa7f945617acd606aac91">armnn::TensorInfo::SetConstant</a></div><div class="ttdeci">void SetConstant(const bool IsConstant=true)</div><div class="ttdoc">Marks the data corresponding to this tensor info as constant. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00514">Tensor.cpp:514</a></div></div>
<div class="ttc" id="classarmnn__driver_1_1_armnn_prepared_model_xhtml_a0481f4c1ca5608339a5688daf256a4e4"><div class="ttname"><a href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#a0481f4c1ca5608339a5688daf256a4e4">armnn_driver::ArmnnPreparedModel::getUnderlyingResource</a></div><div class="ttdeci">std::any getUnderlyingResource() const override</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8cpp_source.xhtml#l00606">ArmnnPreparedModel.cpp:606</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_runtime_xhtml_a7db39b06bc7f50287f54320d26df4373"><div class="ttname"><a href="classarmnn_1_1_i_runtime.xhtml#a7db39b06bc7f50287f54320d26df4373">armnn::IRuntime::ImportOutputs</a></div><div class="ttdeci">std::vector< ImportedOutputId > ImportOutputs(NetworkId networkId, const OutputTensors &outputTensors, MemorySource forceImportMemorySource=MemorySource::Undefined)</div><div class="ttdoc">ImportOutputs separates the importing and mapping of OutputTensors from network execution. </div><div class="ttdef"><b>Definition:</b> <a href="_runtime_8cpp_source.xhtml#l00095">Runtime.cpp:95</a></div></div>
<div class="ttc" id="classarmnn__driver_1_1_armnn_prepared_model_xhtml_ab108fedcef5c0d766444eb2def3b7bad"><div class="ttname"><a href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#ab108fedcef5c0d766444eb2def3b7bad">armnn_driver::ArmnnPreparedModel::createReusableExecution</a></div><div class="ttdeci">GeneralResult< android::nn::SharedExecution > createReusableExecution(const Request &request, MeasureTiming measureTiming, const OptionalDuration &loopTimeoutDuration, const std::vector< android::nn::TokenValuePair > &hints, const std::vector< android::nn::ExtensionNameAndPrefix > &extensionNameToPrefix) const override</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_prepared_model_8cpp_source.xhtml#l00586">ArmnnPreparedModel.cpp:586</a></div></div>
<div class="ttc" id="namespacearmnn__driver_xhtml_a7c1c80ee0f432b6b621c40571410195a"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a7c1c80ee0f432b6b621c40571410195a">armnn_driver::CommitPools</a></div><div class="ttdeci">void CommitPools(std::vector<::android::nn::RunTimePoolInfo > &memPools)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.xhtml#l00610">CanonicalUtils.cpp:610</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00195">Tensor.hpp:195</a></div></div>
<div class="ttc" id="namespacearmnn__driver_xhtml"><div class="ttname"><a href="namespacearmnn__driver.xhtml">armnn_driver</a></div><div class="ttdoc">Helper classes. </div><div class="ttdef"><b>Definition:</b> <a href="_armnn_device_8cpp_source.xhtml#l00037">ArmnnDevice.cpp:37</a></div></div>
<div class="ttc" id="namespacearmnn__driver_xhtml_aa313ae79f70102e3451d45d3387c2e46"><div class="ttname"><a href="namespacearmnn__driver.xhtml#aa313ae79f70102e3451d45d3387c2e46">armnn_driver::DumpJsonProfilingIfRequired</a></div><div class="ttdeci">void DumpJsonProfilingIfRequired(bool gpuProfilingEnabled, const std::string &dumpDir, armnn::NetworkId networkId, const armnn::IProfiler *profiler)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.xhtml#l00350">CanonicalUtils.cpp:350</a></div></div>
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