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<div class="title">ArmnnDriverImpl.cpp</div> </div>
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<a href="_armnn_driver_impl_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"> 6</span> <span class="preprocessor">#include "<a class="code" href="_armnn_driver_impl_8hpp.xhtml">ArmnnDriverImpl.hpp</a>"</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "<a class="code" href="_armnn_prepared_model_8hpp.xhtml">ArmnnPreparedModel.hpp</a>"</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include "<a class="code" href="_model_to_i_network_transformer_8hpp.xhtml">ModelToINetworkTransformer.hpp</a>"</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include "<a class="code" href="_system_properties_utils_8hpp.xhtml">SystemPropertiesUtils.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 <<a class="code" href="_i_deserializer_8hpp.xhtml">armnnDeserializer/IDeserializer.hpp</a>></span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> </div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include <log/log.h></span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include <sys/stat.h></span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> </div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="keyword">namespace</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> {</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> </div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> Capabilities GenerateCapabilities()</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>  VLOG(DRIVER) << <span class="stringliteral">"ArmnnDriverImpl::GenerateCapabilities()"</span>;</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> </div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <span class="keywordtype">float</span> defaultPerfValue = .1f;</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <span class="keyword">const</span> Capabilities::PerformanceInfo defaultPerfInfo = { <span class="comment">/* execTime */</span> defaultPerfValue,</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <span class="comment">/* powerUsage */</span> defaultPerfValue</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  };</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  std::vector<OperandType> operandsTypes({</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  OperandType::FLOAT32,</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  OperandType::INT32,</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  OperandType::UINT32,</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  OperandType::TENSOR_FLOAT32,</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  OperandType::TENSOR_INT32,</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  OperandType::TENSOR_QUANT8_ASYMM,</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  OperandType::BOOL,</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  OperandType::TENSOR_QUANT16_SYMM,</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  OperandType::TENSOR_FLOAT16,</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  OperandType::TENSOR_BOOL8,</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  OperandType::FLOAT16,</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL,</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  OperandType::TENSOR_QUANT16_ASYMM,</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  OperandType::TENSOR_QUANT8_SYMM,</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  OperandType::TENSOR_QUANT8_ASYMM_SIGNED,</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  });</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>  std::vector<Capabilities::OperandPerformance> operandPerformances;</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  operandPerformances.reserve(operandsTypes.size());</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> </div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> opType : operandsTypes)</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  {</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  operandPerformances.push_back(</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  Capabilities::OperandPerformance{ <span class="comment">/* type */</span> opType, <span class="comment">/* info */</span> defaultPerfInfo });</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  }</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> </div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keyword">auto</span> operandPerformanceTable =</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  Capabilities::OperandPerformanceTable::create(std::move(operandPerformances)).value();</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> </div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keywordflow">return</span> { <span class="comment">/* relaxedFloat32toFloat16PerformanceScalar */</span> defaultPerfInfo,</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="comment">/* relaxedFloat32toFloat16PerformanceTensor */</span> defaultPerfInfo,</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="comment">/* operandPerformance */</span> std::move(operandPerformanceTable),</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="comment">/* ifPerformance */</span> defaultPerfInfo,</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="comment">/* whilePerformance */</span> defaultPerfInfo };</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="keywordtype">size_t</span> Hash(std::vector<uint8_t>& cacheData)</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>  std::size_t hash = cacheData.size();</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>& i : cacheData)</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  {</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  hash = ((hash << 5) - hash) + i;</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">return</span> hash;</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> </div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> } <span class="comment">// anonymous namespace</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="keyword">using namespace </span><a class="code" href="namespaceandroid_1_1nn.xhtml">android::nn</a>;</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="keyword">namespace </span><a class="code" href="namespacearmnn__driver.xhtml">armnn_driver</a></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> </div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="keywordtype">bool</span> ArmnnDriverImpl::ValidateSharedHandle(<span class="keyword">const</span> SharedHandle& sharedHandle)</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> {</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keywordtype">bool</span> valid = <span class="keyword">true</span>;</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> </div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keywordflow">if</span> (*sharedHandle < 0)</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="keywordflow">return</span> !valid;</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> </div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keywordtype">int</span> dataCacheFileAccessMode = fcntl(*sharedHandle, F_GETFL) & O_ACCMODE;</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="keywordflow">if</span> (dataCacheFileAccessMode != O_RDWR)</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  {</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keywordflow">return</span> !valid;</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  }</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> </div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keywordflow">return</span> valid;</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> </div><div class="line"><a name="l00099"></a><span class="lineno"><a class="line" href="classarmnn__driver_1_1_armnn_driver_impl.xhtml#ad7f46e940507224fb741406dc216f370"> 99</a></span> GeneralResult<SharedPreparedModel> ArmnnDriverImpl::PrepareArmnnModel(</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a150468a02bd7b2d2d061c4aaaee939f0">armnn::IRuntimePtr</a>& runtime,</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a2d3a708a26ac6d77bf8f15506e89a25a">armnn::IGpuAccTunedParametersPtr</a>& clTunedParameters,</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keyword">const</span> <a class="code" href="classarmnn__driver_1_1_driver_options.xhtml">DriverOptions</a>& options,</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a>& model,</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keyword">const</span> std::vector<SharedHandle>& modelCacheHandle,</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keyword">const</span> std::vector<SharedHandle>& dataCacheHandle,</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keyword">const</span> CacheToken& token,</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keywordtype">bool</span> float32ToFloat16,</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  Priority priority)</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>  VLOG(DRIVER) << <span class="stringliteral">"ArmnnDriverImpl::PrepareArmnnModel()"</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>  <span class="keywordflow">if</span> (!runtime)</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  {</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::DEVICE_UNAVAILABLE) << <span class="stringliteral">"Device unavailable"</span>;</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  }</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="keywordflow">if</span> (<span class="keyword">const</span> <span class="keyword">auto</span> result = validate(model); !result.ok())</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>  <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::INVALID_ARGUMENT) << <span class="stringliteral">"Invalid model passed as input"</span>;</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  }</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">// Deliberately ignore any unsupported operations requested by the options -</span></div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="comment">// at this point we're being asked to prepare a model that we've already declared support for</span></div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="comment">// and the operation indices may be different to those in getSupportedOperations anyway.</span></div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  std::set<unsigned int> unsupportedOperations;</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <a class="code" href="classarmnn__driver_1_1_model_to_i_network_transformer.xhtml">ModelToINetworkTransformer</a> modelConverter(options.<a class="code" href="classarmnn__driver_1_1_driver_options.xhtml#ad95feca4087d8e42ecacc1950a3d3901">GetBackends</a>(),</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  model,</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  unsupportedOperations);</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> </div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="keywordflow">if</span> (modelConverter.GetConversionResult() != ConversionResult::Success)</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  {</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::GENERAL_FAILURE) << <span class="stringliteral">"ModelToINetworkConverter failed"</span>;</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  }</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> </div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="comment">// Serialize the network graph to a .armnn file if an output directory</span></div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="comment">// has been specified in the drivers' arguments.</span></div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  std::vector<uint8_t> dataCacheData;</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="keywordtype">bool</span> serializeToFile = dataCacheHandle.size() < 1 ? false : <span class="keyword">true</span>;</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keyword">auto</span> serializedNetworkFileName =</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <a class="code" href="namespacearmnn__driver.xhtml#a31f074135a3dba97d9baf1dffd0a07fd">SerializeNetwork</a>(*modelConverter.GetINetwork(),</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  options.<a class="code" href="classarmnn__driver_1_1_driver_options.xhtml#a052b5692df75f05d7f0710faca305bb8">GetRequestInputsAndOutputsDumpDir</a>(),</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  dataCacheData,</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  serializeToFile);</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span> </div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="comment">// Optimize the network</span></div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <a class="code" href="namespacearmnn.xhtml#a674efcf6cbdb9e831d653ff0e821fb38">armnn::IOptimizedNetworkPtr</a> optNet(<span class="keyword">nullptr</span>, <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <a class="code" href="structarmnn_1_1_optimizer_options.xhtml">armnn::OptimizerOptions</a> OptOptions;</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  OptOptions.<a class="code" href="structarmnn_1_1_optimizer_options.xhtml#a6e1a42622ca43dafc7ba8e684c016eb4">m_ReduceFp32ToFp16</a> = float32ToFloat16;</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  OptOptions.<a class="code" href="structarmnn_1_1_optimizer_options.xhtml#a1b1892da2aaf7eaedaa38671d56b7f19">m_ProfilingEnabled</a> = options.<a class="code" href="classarmnn__driver_1_1_driver_options.xhtml#a43799d34e102001274633713c12c0225">IsGpuProfilingEnabled</a>();</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> </div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="keywordtype">int</span> cachedFd = -1;</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keywordtype">bool</span> saveCachedNetwork = options.<a class="code" href="classarmnn__driver_1_1_driver_options.xhtml#a9640684f215321d0d93f6f3cb14d5da1">SaveCachedNetwork</a>();</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span> </div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numberOfCachedModelFiles = 0;</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="keywordflow">if</span> (modelCacheHandle.size() > 0)</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  {</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> index = 0;</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>& backend : options.<a class="code" href="classarmnn__driver_1_1_driver_options.xhtml#ad95feca4087d8e42ecacc1950a3d3901">GetBackends</a>())</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>  <span class="comment">// modelCacheHandle size should be equal to numberOfCachedModelFiles</span></div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="comment">// modelCacheHandle vector should be in same order as backends</span></div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="keyword">auto</span> numberOfCacheFiles = <a class="code" href="namespacearmnn.xhtml#ae266ee8bf362cbf8a88ab6e6b389791a">GetNumberOfCacheFiles</a>(backend);</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="keywordflow">if</span> (numberOfCacheFiles > 0)</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  {</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  numberOfCachedModelFiles += numberOfCacheFiles;</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="comment">// For GpuAcc numberOfCachedFiles is 1</span></div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="keywordflow">if</span> (backend == <a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::Compute::GpuAcc</a>)</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  {</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  cachedFd = *modelCacheHandle[index];</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  saveCachedNetwork = <span class="keyword">true</span>;</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  }</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  index += numberOfCachedModelFiles;</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  }</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  }</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> </div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <a class="code" href="structarmnn_1_1_backend_options.xhtml">armnn::BackendOptions</a> gpuAcc(<span class="stringliteral">"GpuAcc"</span>,</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  {</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  { <span class="stringliteral">"FastMathEnabled"</span>, options.<a class="code" href="classarmnn__driver_1_1_driver_options.xhtml#abfe9aa4fa74aca0f9a925752bbbb0f79">IsFastMathEnabled</a>() },</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  { <span class="stringliteral">"SaveCachedNetwork"</span>, saveCachedNetwork },</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  { <span class="stringliteral">"CachedNetworkFilePath"</span>, options.<a class="code" href="classarmnn__driver_1_1_driver_options.xhtml#aa9b3868fd9a9b9fc4b637e9fa3fa3b5a">GetCachedNetworkFilePath</a>() },</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  { <span class="stringliteral">"MLGOTuningFilePath"</span>, options.<a class="code" href="classarmnn__driver_1_1_driver_options.xhtml#acb9af28ccca1aac78c52be2baf0bf864">GetClMLGOTunedParametersFile</a>() },</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  { <span class="stringliteral">"CachedFileDescriptor"</span>, cachedFd }</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  });</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>  <a class="code" href="structarmnn_1_1_backend_options.xhtml">armnn::BackendOptions</a> cpuAcc(<span class="stringliteral">"CpuAcc"</span>,</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  {</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  { <span class="stringliteral">"FastMathEnabled"</span>, options.<a class="code" href="classarmnn__driver_1_1_driver_options.xhtml#abfe9aa4fa74aca0f9a925752bbbb0f79">IsFastMathEnabled</a>() },</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  { <span class="stringliteral">"NumberOfThreads"</span>, options.<a class="code" href="classarmnn__driver_1_1_driver_options.xhtml#ab496797d400c4976d0d4b15b110bf7d9">GetNumberOfThreads</a>() }</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  });</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  OptOptions.<a class="code" href="structarmnn_1_1_optimizer_options.xhtml#a71194277c60153a5f86539f5d39f01db">m_ModelOptions</a>.push_back(gpuAcc);</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  OptOptions.<a class="code" href="structarmnn_1_1_optimizer_options.xhtml#a71194277c60153a5f86539f5d39f01db">m_ModelOptions</a>.push_back(cpuAcc);</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span> </div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  std::vector<std::string> errMessages;</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <span class="keywordflow">try</span></div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  {</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  optNet = <a class="code" href="namespacearmnn.xhtml#a82e98ef05fd67036d1195ba17174d685">armnn::Optimize</a>(*modelConverter.GetINetwork(),</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  options.<a class="code" href="classarmnn__driver_1_1_driver_options.xhtml#ad95feca4087d8e42ecacc1950a3d3901">GetBackends</a>(),</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  runtime->GetDeviceSpec(),</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  OptOptions,</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  errMessages);</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  }</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="keywordflow">catch</span> (std::exception& e)</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>  <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::GENERAL_FAILURE) << e.what();</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  }</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="comment">// Check that the optimized network is valid.</span></div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="keywordflow">if</span> (!optNet)</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>  std::stringstream message;</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  message << <span class="stringliteral">"Invalid optimized network"</span>;</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> std::string& msg : errMessages)</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>  message << <span class="stringliteral">"\n"</span> << msg;</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>  <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::GENERAL_FAILURE) << message.str();</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>  <span class="comment">// Export the optimized network graph to a dot file if an output dump directory</span></div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="comment">// has been specified in the drivers' arguments.</span></div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  std::string dotGraphFileName = <a class="code" href="namespacearmnn__driver.xhtml#a5304cf930377fc082e7494d20de2be12">ExportNetworkGraphToDotFile</a>(*optNet,</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  options.<a class="code" href="classarmnn__driver_1_1_driver_options.xhtml#a052b5692df75f05d7f0710faca305bb8">GetRequestInputsAndOutputsDumpDir</a>());</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span> </div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="comment">// Load it into the runtime.</span></div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <a class="code" href="namespacearmnn.xhtml#a0d8160388a127c1a23b37bc88dc6e2ec">armnn::NetworkId</a> netId = 0;</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  std::string msg;</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <a class="code" href="structarmnn_1_1_i_network_properties.xhtml">armnn::INetworkProperties</a> networkProperties(options.<a class="code" href="classarmnn__driver_1_1_driver_options.xhtml#ae87f994847cbe71c0e0bb5665f8fc218">isAsyncModelExecutionEnabled</a>(),</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  MemorySource::Undefined,</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  MemorySource::Undefined,</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  options.<a class="code" href="classarmnn__driver_1_1_driver_options.xhtml#a43799d34e102001274633713c12c0225">IsGpuProfilingEnabled</a>());</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keyword">auto</span> numInputs = <a class="code" href="_conversion_utils_8hpp.xhtml#abcb5019b10b89cbd2b96118885a026d4">getMainModel</a>(model).inputIndexes.size();</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="keyword">auto</span> numOutputs = <a class="code" href="_conversion_utils_8hpp.xhtml#abcb5019b10b89cbd2b96118885a026d4">getMainModel</a>(model).outputIndexes.size();</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="keywordflow">try</span></div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  {</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <span class="keywordflow">if</span> (runtime->LoadNetwork(netId, move(optNet), msg, networkProperties) != <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">armnn::Status::Success</a>)</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="keywordflow">return</span> NN_ERROR(ErrorStatus::GENERAL_FAILURE) << <span class="stringliteral">"Network could not be loaded"</span>;</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  }</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  }</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="keywordflow">catch</span> (std::exception& e)</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  {</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  std::stringstream message;</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  message << <span class="stringliteral">"Exception ("</span> << e.what()<< <span class="stringliteral">") caught from LoadNetwork."</span>;</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::GENERAL_FAILURE) << message.str();</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>  <span class="comment">// Now that we have a networkId for the graph rename the exported files to use it</span></div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="comment">// so that we can associate the graph file and the input/output tensor exported files</span></div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <a class="code" href="namespacearmnn__driver.xhtml#a3d30e31a46482fbc714fc34e0d5a1c90">RenameExportedFiles</a>(serializedNetworkFileName,</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  dotGraphFileName,</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  options.<a class="code" href="classarmnn__driver_1_1_driver_options.xhtml#a052b5692df75f05d7f0710faca305bb8">GetRequestInputsAndOutputsDumpDir</a>(),</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  netId);</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span> </div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <span class="comment">// Cache the model</span></div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <span class="keywordtype">size_t</span> hashValue = 0;</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="keywordflow">if</span> (dataCacheHandle.size() == 1 )</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  {</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  hashValue = Hash(dataCacheData);</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  }</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span> </div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="comment">// Cache the model data</span></div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <span class="keywordflow">if</span> (modelCacheHandle.size() > 0)</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  {</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="keywordflow">if</span> (modelCacheHandle.size() == numberOfCachedModelFiles)</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">for</span> (uint32_t i = 0; i < modelCacheHandle.size(); ++i)</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>  <span class="keywordtype">int</span> modelCacheFileAccessMode = fcntl(*modelCacheHandle[i], F_GETFL) & O_ACCMODE;</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <span class="keywordflow">if</span> (modelCacheFileAccessMode != O_RDONLY)</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>  <span class="keyword">struct </span>stat statBuffer;</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keywordflow">if</span> (fstat(*modelCacheHandle[i], &statBuffer) == 0)</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="keywordtype">long</span> modelDataSize = statBuffer.st_size;</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <span class="keywordflow">if</span> (modelDataSize > 0)</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>  std::vector<uint8_t> modelData(modelDataSize);</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  pread(*modelCacheHandle[i], modelData.data(), modelData.size(), 0);</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  hashValue ^= Hash(modelData);</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  }</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>  }</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  }</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>  }</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <span class="keywordflow">if</span> (dataCacheHandle.size() == 1 && hashValue != 0)</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  {</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  std::vector<uint8_t> theHashValue(<span class="keyword">sizeof</span>(hashValue));</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  ::memcpy(theHashValue.data(), &hashValue, <span class="keyword">sizeof</span>(hashValue));</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>  write(*dataCacheHandle[0], theHashValue.data(), theHashValue.size());</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  pwrite(*dataCacheHandle[0], dataCacheData.data(), dataCacheData.size(), theHashValue.size());</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  }</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span> </div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  <span class="keywordtype">bool</span> executeWithDummyInputs = (std::find(options.<a class="code" href="classarmnn__driver_1_1_driver_options.xhtml#ad95feca4087d8e42ecacc1950a3d3901">GetBackends</a>().begin(),</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  options.<a class="code" href="classarmnn__driver_1_1_driver_options.xhtml#ad95feca4087d8e42ecacc1950a3d3901">GetBackends</a>().end(),</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::Compute::GpuAcc</a>) != options.<a class="code" href="classarmnn__driver_1_1_driver_options.xhtml#ad95feca4087d8e42ecacc1950a3d3901">GetBackends</a>().end());</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span> </div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  <span class="keyword">auto</span> preparedModel = std::make_shared<const ArmnnPreparedModel>(netId,</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  runtime.get(),</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  model,</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  options.<a class="code" href="classarmnn__driver_1_1_driver_options.xhtml#a052b5692df75f05d7f0710faca305bb8">GetRequestInputsAndOutputsDumpDir</a>(),</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  options.<a class="code" href="classarmnn__driver_1_1_driver_options.xhtml#a43799d34e102001274633713c12c0225">IsGpuProfilingEnabled</a>(),</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  priority);</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span> </div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <span class="comment">// Run a single 'dummy' inference of the model. This means that CL kernels will get compiled (and tuned if</span></div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <span class="comment">// this is enabled) before the first 'real' inference which removes the overhead of the first inference.</span></div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <span class="comment">// Only run this if the GpuAcc backend has been added to options</span></div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <span class="keywordflow">if</span> (std::find(options.<a class="code" href="classarmnn__driver_1_1_driver_options.xhtml#ad95feca4087d8e42ecacc1950a3d3901">GetBackends</a>().begin(),</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  options.<a class="code" href="classarmnn__driver_1_1_driver_options.xhtml#ad95feca4087d8e42ecacc1950a3d3901">GetBackends</a>().end(),</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  <a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::Compute::GpuAcc</a>) != options.<a class="code" href="classarmnn__driver_1_1_driver_options.xhtml#ad95feca4087d8e42ecacc1950a3d3901">GetBackends</a>().end())</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  {</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <span class="keywordflow">if</span> (!preparedModel->ExecuteWithDummyInputs(numInputs, numOutputs))</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  {</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::GENERAL_FAILURE) << <span class="stringliteral">"Network could not be executed"</span>;</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  }</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span> </div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <span class="keywordflow">if</span> (clTunedParameters &&</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  options.<a class="code" href="classarmnn__driver_1_1_driver_options.xhtml#a97f3f76fa3f6f6c6438e2e7121415219">GetClTunedParametersMode</a>() == <a class="code" href="classarmnn_1_1_i_gpu_acc_tuned_parameters.xhtml#a46c8a310cf4c094f8c80e1cb8dc1f911ac20468a4ef4b1707d13a1aea2ece6104">armnn::IGpuAccTunedParameters::Mode::UpdateTunedParameters</a>)</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  {</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <span class="comment">// Now that we've done one inference the CL kernel parameters will have been tuned,</span></div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <span class="comment">// so save the updated file.</span></div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  <span class="keywordflow">try</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>  clTunedParameters->Save(options.<a class="code" href="classarmnn__driver_1_1_driver_options.xhtml#a37570fb994ca42aac33a6a494f63c6c5">GetClTunedParametersFile</a>().c_str());</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  }</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <span class="keywordflow">catch</span> (std::exception& <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acb5e100e5a9a3e7f6d1fd97512215282">error</a>)</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>  VLOG(DRIVER) << <span class="stringliteral">"ArmnnDriverImpl::prepareModel: Failed to save CL tuned parameters file"</span></div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  << options.<a class="code" href="classarmnn__driver_1_1_driver_options.xhtml#a37570fb994ca42aac33a6a494f63c6c5">GetClTunedParametersFile</a>().c_str() << error.what();</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  }</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  }</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  }</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  <span class="keywordflow">return</span> std::move(preparedModel);</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span> }</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span> </div><div class="line"><a name="l00338"></a><span class="lineno"><a class="line" href="classarmnn__driver_1_1_armnn_driver_impl.xhtml#a3f22b9cef4af3244aaed9c28f7674a1b"> 338</a></span> GeneralResult<SharedPreparedModel> ArmnnDriverImpl::PrepareArmnnModelFromCache(</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a150468a02bd7b2d2d061c4aaaee939f0">armnn::IRuntimePtr</a>& runtime,</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a2d3a708a26ac6d77bf8f15506e89a25a">armnn::IGpuAccTunedParametersPtr</a>& clTunedParameters,</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  <span class="keyword">const</span> <a class="code" href="classarmnn__driver_1_1_driver_options.xhtml">DriverOptions</a>& options,</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <span class="keyword">const</span> std::vector<SharedHandle>& modelCacheHandle,</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <span class="keyword">const</span> std::vector<SharedHandle>& dataCacheHandle,</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  <span class="keyword">const</span> CacheToken& token,</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <span class="keywordtype">bool</span> float32ToFloat16)</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span> {</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  VLOG(DRIVER) << <span class="stringliteral">"ArmnnDriverImpl::PrepareArmnnModelFromCache()"</span>;</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span> </div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  <span class="keywordflow">if</span> (!runtime)</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  {</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::DEVICE_UNAVAILABLE)</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  << <span class="stringliteral">"ArmnnDriverImpl::prepareModelFromCache(): Device unavailable"</span>;</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  }</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span> </div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  <span class="keywordflow">if</span> (token.size() != ANEURALNETWORKS_BYTE_SIZE_OF_CACHE_TOKEN)</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  {</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::GENERAL_FAILURE)</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  << <span class="stringliteral">"ArmnnDriverImpl::prepareModelFromCache(): Token size does not match!"</span>;</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> </div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <span class="comment">// Validate dataCacheHandle</span></div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  <span class="keywordflow">if</span> (dataCacheHandle.size() != 1)</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>  <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::GENERAL_FAILURE)</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  << <span class="stringliteral">"ArmnnDriverImpl::prepareModelFromCache(): Not valid data cache handle!"</span>;</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  }</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span> </div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <span class="keywordflow">if</span> (!ValidateSharedHandle(dataCacheHandle[0]))</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>  <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::GENERAL_FAILURE)</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  << <span class="stringliteral">"ArmnnDriverImpl::prepareModelFromCache(): Not valid data cache handle!"</span>;</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  }</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span> </div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  <span class="keywordtype">size_t</span> cachedDataSize = 0;</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  <span class="keyword">struct </span>stat dataStatBuffer;</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  <span class="keywordflow">if</span> (fstat(*dataCacheHandle[0], &dataStatBuffer) == 0)</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  {</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  cachedDataSize = dataStatBuffer.st_size;</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  }</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  <span class="keywordflow">if</span> (cachedDataSize == 0)</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  {</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::GENERAL_FAILURE)</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  << <span class="stringliteral">"ArmnnDriverImpl::prepareModelFromCache(): Not valid cached data!"</span>;</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  }</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span> </div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  <span class="comment">// Check if model files cached they match the expected value</span></div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numberOfCachedModelFiles = 0;</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>& backend : options.<a class="code" href="classarmnn__driver_1_1_driver_options.xhtml#ad95feca4087d8e42ecacc1950a3d3901">GetBackends</a>())</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  {</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  numberOfCachedModelFiles += <a class="code" href="namespacearmnn.xhtml#ae266ee8bf362cbf8a88ab6e6b389791a">GetNumberOfCacheFiles</a>(backend);</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  }</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  <span class="keywordflow">if</span> (modelCacheHandle.size() != numberOfCachedModelFiles)</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  {</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::GENERAL_FAILURE)</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  << <span class="stringliteral">"ArmnnDriverImpl::prepareModelFromCache(): Model cache handle size does not match."</span>;</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  }</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">// Read the hashValue</span></div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  std::vector<uint8_t> hashValue(<span class="keyword">sizeof</span>(<span class="keywordtype">size_t</span>));</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  pread(*dataCacheHandle[0], hashValue.data(), hashValue.size(), 0);</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span> </div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  <span class="comment">// Read the model</span></div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  std::vector<uint8_t> dataCacheData(cachedDataSize - hashValue.size());</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  pread(*dataCacheHandle[0], dataCacheData.data(), dataCacheData.size(), hashValue.size());</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  <span class="keyword">auto</span> calculatedHashValue = Hash(dataCacheData);</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span> </div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  <span class="keywordtype">int</span> gpuAccCachedFd = -1;</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  <span class="keywordflow">if</span> (modelCacheHandle.size() > 0)</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>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> index = 0;</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>& backend : options.<a class="code" href="classarmnn__driver_1_1_driver_options.xhtml#ad95feca4087d8e42ecacc1950a3d3901">GetBackends</a>())</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  {</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  <span class="comment">// modelCacheHandle size should be equal to numberOfCachedModelFiles</span></div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  <span class="comment">// modelCacheHandle vector should be in same order as backends</span></div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  <span class="keyword">auto</span> numberOfCacheFiles = <a class="code" href="namespacearmnn.xhtml#ae266ee8bf362cbf8a88ab6e6b389791a">GetNumberOfCacheFiles</a>(backend);</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  <span class="keywordflow">if</span> (numberOfCacheFiles > 0)</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>  <span class="keywordflow">if</span> (!ValidateSharedHandle(modelCacheHandle[index]))</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  {</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::GENERAL_FAILURE)</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  << <span class="stringliteral">"ArmnnDriverImpl::prepareModelFromCache(): Invalid model cache handle!"</span>;</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  }</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  <span class="keywordtype">int</span> cachedFd = *modelCacheHandle[index];</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  <span class="keyword">struct </span>stat statBuffer;</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  <span class="keywordflow">if</span> (fstat(cachedFd, &statBuffer) == 0)</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>  <span class="keywordtype">long</span> modelDataSize = statBuffer.st_size;</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  <span class="keywordflow">if</span> (modelDataSize > 0)</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  {</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  std::vector<uint8_t> modelData(modelDataSize);</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  pread(cachedFd, modelData.data(), modelData.size(), 0);</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  calculatedHashValue ^= Hash(modelData);</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span> </div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  <span class="keywordflow">if</span> (backend == <a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::Compute::GpuAcc</a>)</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  {</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  gpuAccCachedFd = cachedFd;</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  }</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>  }</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  index += numberOfCacheFiles;</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>  }</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>  std::vector<uint8_t> calculatedHashData(<span class="keyword">sizeof</span>(calculatedHashValue));</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  ::memcpy(calculatedHashData.data(), &calculatedHashValue, <span class="keyword">sizeof</span>(calculatedHashValue));</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  <span class="keywordflow">if</span> (hashValue != calculatedHashData)</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  {</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::GENERAL_FAILURE)</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  << <span class="stringliteral">"ArmnnDriverImpl::prepareModelFromCache(): ValidateHash() failed!"</span>;</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  }</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>  <span class="comment">// Deserialize the network..</span></div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> network = <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a>(<span class="keyword">nullptr</span>, [](<a class="code" href="classarmnn_1_1_i_network.xhtml">armnn::INetwork</a>*){});</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  <span class="keywordflow">try</span></div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  {</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  network = <a class="code" href="classarmnn_deserializer_1_1_i_deserializer.xhtml#af116abd698a7feb92876ae48917005a4">armnnDeserializer::IDeserializer::Create</a>()->CreateNetworkFromBinary(dataCacheData);</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  }</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  <span class="keywordflow">catch</span> (std::exception&)</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  {</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::GENERAL_FAILURE)</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  << <span class="stringliteral">"ArmnnDriverImpl::prepareModelFromCache(): Exception caught from Deserializer!"</span>;</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  }</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span> </div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  <span class="comment">// Optimize the network</span></div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  <a class="code" href="namespacearmnn.xhtml#a674efcf6cbdb9e831d653ff0e821fb38">armnn::IOptimizedNetworkPtr</a> optNet(<span class="keyword">nullptr</span>, <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  <a class="code" href="structarmnn_1_1_optimizer_options.xhtml">armnn::OptimizerOptions</a> OptOptions;</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  OptOptions.<a class="code" href="structarmnn_1_1_optimizer_options.xhtml#a6e1a42622ca43dafc7ba8e684c016eb4">m_ReduceFp32ToFp16</a> = float32ToFloat16;</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  OptOptions.<a class="code" href="structarmnn_1_1_optimizer_options.xhtml#a1b1892da2aaf7eaedaa38671d56b7f19">m_ProfilingEnabled</a> = options.<a class="code" href="classarmnn__driver_1_1_driver_options.xhtml#a43799d34e102001274633713c12c0225">IsGpuProfilingEnabled</a>();</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>  <a class="code" href="structarmnn_1_1_backend_options.xhtml">armnn::BackendOptions</a> gpuAcc(<span class="stringliteral">"GpuAcc"</span>,</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  {</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  { <span class="stringliteral">"FastMathEnabled"</span>, options.<a class="code" href="classarmnn__driver_1_1_driver_options.xhtml#abfe9aa4fa74aca0f9a925752bbbb0f79">IsFastMathEnabled</a>() },</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  { <span class="stringliteral">"SaveCachedNetwork"</span>, <span class="keyword">false</span> },</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  { <span class="stringliteral">"CachedNetworkFilePath"</span>, options.<a class="code" href="classarmnn__driver_1_1_driver_options.xhtml#aa9b3868fd9a9b9fc4b637e9fa3fa3b5a">GetCachedNetworkFilePath</a>() },</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  { <span class="stringliteral">"MLGOTuningFilePath"</span>, options.<a class="code" href="classarmnn__driver_1_1_driver_options.xhtml#acb9af28ccca1aac78c52be2baf0bf864">GetClMLGOTunedParametersFile</a>() },</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  { <span class="stringliteral">"CachedFileDescriptor"</span>, gpuAccCachedFd }</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  });</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span> </div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  <a class="code" href="structarmnn_1_1_backend_options.xhtml">armnn::BackendOptions</a> cpuAcc(<span class="stringliteral">"CpuAcc"</span>,</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  {</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  { <span class="stringliteral">"FastMathEnabled"</span>, options.<a class="code" href="classarmnn__driver_1_1_driver_options.xhtml#abfe9aa4fa74aca0f9a925752bbbb0f79">IsFastMathEnabled</a>() },</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  { <span class="stringliteral">"NumberOfThreads"</span>, options.<a class="code" href="classarmnn__driver_1_1_driver_options.xhtml#ab496797d400c4976d0d4b15b110bf7d9">GetNumberOfThreads</a>() }</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  });</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  OptOptions.<a class="code" href="structarmnn_1_1_optimizer_options.xhtml#a71194277c60153a5f86539f5d39f01db">m_ModelOptions</a>.push_back(gpuAcc);</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  OptOptions.<a class="code" href="structarmnn_1_1_optimizer_options.xhtml#a71194277c60153a5f86539f5d39f01db">m_ModelOptions</a>.push_back(cpuAcc);</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span> </div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  std::vector<std::string> errMessages;</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  <span class="keywordflow">try</span></div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  {</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  optNet = <a class="code" href="namespacearmnn.xhtml#a82e98ef05fd67036d1195ba17174d685">armnn::Optimize</a>(*network.get(),</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  options.<a class="code" href="classarmnn__driver_1_1_driver_options.xhtml#ad95feca4087d8e42ecacc1950a3d3901">GetBackends</a>(),</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  runtime->GetDeviceSpec(),</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  OptOptions,</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  errMessages);</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  }</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  <span class="keywordflow">catch</span> (std::exception& e)</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  {</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::GENERAL_FAILURE) << e.what();</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  }</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>  <span class="comment">// Check that the optimized network is valid.</span></div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  <span class="keywordflow">if</span> (!optNet)</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  {</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  std::stringstream message;</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  message << <span class="stringliteral">"Invalid optimized network"</span>;</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> std::string& msg : errMessages)</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>  message << <span class="stringliteral">"\n"</span> << msg;</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  }</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::GENERAL_FAILURE) << message.str();</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> </div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  <span class="comment">// Export the optimized network graph to a dot file if an output dump directory</span></div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  <span class="comment">// has been specified in the drivers' arguments.</span></div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  std::string dotGraphFileName = <a class="code" href="namespacearmnn__driver.xhtml#a5304cf930377fc082e7494d20de2be12">ExportNetworkGraphToDotFile</a>(*optNet,</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  options.<a class="code" href="classarmnn__driver_1_1_driver_options.xhtml#a052b5692df75f05d7f0710faca305bb8">GetRequestInputsAndOutputsDumpDir</a>());</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="comment">// Load it into the runtime.</span></div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  <a class="code" href="namespacearmnn.xhtml#a0d8160388a127c1a23b37bc88dc6e2ec">armnn::NetworkId</a> netId = 0;</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  std::string msg;</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  <a class="code" href="structarmnn_1_1_i_network_properties.xhtml">armnn::INetworkProperties</a> networkProperties(options.<a class="code" href="classarmnn__driver_1_1_driver_options.xhtml#ae87f994847cbe71c0e0bb5665f8fc218">isAsyncModelExecutionEnabled</a>(),</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  MemorySource::Undefined,</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  MemorySource::Undefined,</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  options.<a class="code" href="classarmnn__driver_1_1_driver_options.xhtml#a43799d34e102001274633713c12c0225">IsGpuProfilingEnabled</a>());</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  <span class="keywordflow">try</span></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>  <span class="keywordflow">if</span> (runtime->LoadNetwork(netId, move(optNet), msg, networkProperties) != <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">armnn::Status::Success</a>)</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  {</div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::GENERAL_FAILURE) << <span class="stringliteral">"Network could not be loaded"</span>;</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  }</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="keywordflow">catch</span> (std::exception& e)</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  {</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  std::stringstream message;</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  message << <span class="stringliteral">"Exception ("</span> << e.what()<< <span class="stringliteral">") caught from LoadNetwork."</span>;</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  <span class="keywordflow">return</span> NN_ERROR(ErrorStatus::GENERAL_FAILURE) << message.str();</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  }</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span> </div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  <span class="keyword">auto</span> preparedModel = std::make_shared<const ArmnnPreparedModel>(netId,</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  runtime.get(),</div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  options.<a class="code" href="classarmnn__driver_1_1_driver_options.xhtml#a052b5692df75f05d7f0710faca305bb8">GetRequestInputsAndOutputsDumpDir</a>(),</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  options.<a class="code" href="classarmnn__driver_1_1_driver_options.xhtml#a43799d34e102001274633713c12c0225">IsGpuProfilingEnabled</a>(),</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  Priority::MEDIUM,</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  <span class="keyword">true</span>);</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  <span class="keywordflow">return</span> std::move(preparedModel);</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"><a class="line" href="classarmnn__driver_1_1_armnn_driver_impl.xhtml#ae1de3914a6c5726a757ecd79ebb2e9fc"> 549</a></span> <span class="keyword">const</span> Capabilities& ArmnnDriverImpl::GetCapabilities(<span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a150468a02bd7b2d2d061c4aaaee939f0">armnn::IRuntimePtr</a>& runtime)</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span> {</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  VLOG(DRIVER) << <span class="stringliteral">"ArmnnDriverImpl::GetCapabilities()"</span>;</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  <span class="keyword">static</span> <span class="keyword">const</span> Capabilities theCapabilities = GenerateCapabilities();</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  <span class="keywordflow">return</span> theCapabilities;</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span> }</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span> </div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span> } <span class="comment">// namespace armnn_driver</span></div><div class="ttc" id="structarmnn_1_1_optimizer_options_xhtml_a71194277c60153a5f86539f5d39f01db"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.xhtml#a71194277c60153a5f86539f5d39f01db">armnn::OptimizerOptions::m_ModelOptions</a></div><div class="ttdeci">ModelOptions m_ModelOptions</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00239">INetwork.hpp:239</a></div></div>
<div class="ttc" id="classarmnn__driver_1_1_driver_options_xhtml_abfe9aa4fa74aca0f9a925752bbbb0f79"><div class="ttname"><a href="classarmnn__driver_1_1_driver_options.xhtml#abfe9aa4fa74aca0f9a925752bbbb0f79">armnn_driver::DriverOptions::IsFastMathEnabled</a></div><div class="ttdeci">bool IsFastMathEnabled() const</div><div class="ttdef"><b>Definition:</b> <a href="_driver_options_8hpp_source.xhtml#l00036">DriverOptions.hpp:36</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a150468a02bd7b2d2d061c4aaaee939f0"><div class="ttname"><a href="namespacearmnn.xhtml#a150468a02bd7b2d2d061c4aaaee939f0">armnn::IRuntimePtr</a></div><div class="ttdeci">std::unique_ptr< IRuntime, void(*)(IRuntime *runtime)> IRuntimePtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.xhtml#l00041">IRuntime.hpp:41</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_network_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml">armnn::INetwork</a></div><div class="ttdoc">Main network class which provides the interface for building up a neural network. ...</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00261">INetwork.hpp:261</a></div></div>
<div class="ttc" id="classarmnn_deserializer_1_1_i_deserializer_xhtml_af116abd698a7feb92876ae48917005a4"><div class="ttname"><a href="classarmnn_deserializer_1_1_i_deserializer.xhtml#af116abd698a7feb92876ae48917005a4">armnnDeserializer::IDeserializer::Create</a></div><div class="ttdeci">static IDeserializerPtr Create()</div><div class="ttdef"><b>Definition:</b> <a href="_deserializer_8cpp_source.xhtml#l00047">Deserializer.cpp:47</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acb5e100e5a9a3e7f6d1fd97512215282"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acb5e100e5a9a3e7f6d1fd97512215282">armnn::BoostLogSeverityMapping::error</a></div></div>
<div class="ttc" id="classarmnn__driver_1_1_driver_options_xhtml_ae87f994847cbe71c0e0bb5665f8fc218"><div class="ttname"><a href="classarmnn__driver_1_1_driver_options.xhtml#ae87f994847cbe71c0e0bb5665f8fc218">armnn_driver::DriverOptions::isAsyncModelExecutionEnabled</a></div><div class="ttdeci">bool isAsyncModelExecutionEnabled() const</div><div class="ttdef"><b>Definition:</b> <a href="_driver_options_8hpp_source.xhtml#l00044">DriverOptions.hpp:44</a></div></div>
<div class="ttc" id="structarmnn_1_1_i_network_properties_xhtml"><div class="ttname"><a href="structarmnn_1_1_i_network_properties.xhtml">armnn::INetworkProperties</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.xhtml#l00043">IRuntime.hpp:43</a></div></div>
<div class="ttc" id="structarmnn_1_1_optimizer_options_xhtml_a6e1a42622ca43dafc7ba8e684c016eb4"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.xhtml#a6e1a42622ca43dafc7ba8e684c016eb4">armnn::OptimizerOptions::m_ReduceFp32ToFp16</a></div><div class="ttdeci">bool m_ReduceFp32ToFp16</div><div class="ttdoc">Reduces all Fp32 operators in the model to Fp16 for faster processing. </div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00217">INetwork.hpp:217</a></div></div>
<div class="ttc" id="namespacearmnn__driver_xhtml_a3d30e31a46482fbc714fc34e0d5a1c90"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a3d30e31a46482fbc714fc34e0d5a1c90">armnn_driver::RenameExportedFiles</a></div><div class="ttdeci">void RenameExportedFiles(const std::string &existingSerializedFileName, const std::string &existingDotFileName, const std::string &dumpDir, const armnn::NetworkId networkId)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.xhtml#l00575">CanonicalUtils.cpp:575</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="namespacearmnn_xhtml_ae266ee8bf362cbf8a88ab6e6b389791a"><div class="ttname"><a href="namespacearmnn.xhtml#ae266ee8bf362cbf8a88ab6e6b389791a">armnn::GetNumberOfCacheFiles</a></div><div class="ttdeci">unsigned int GetNumberOfCacheFiles(const armnn::BackendId &backend)</div><div class="ttdoc">Returns the number of cached files if backend supports caching. </div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8cpp_source.xhtml#l00113">BackendHelper.cpp:113</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a82e98ef05fd67036d1195ba17174d685"><div class="ttname"><a href="namespacearmnn.xhtml#a82e98ef05fd67036d1195ba17174d685">armnn::Optimize</a></div><div class="ttdeci">IOptimizedNetworkPtr Optimize(const INetwork &network, const std::vector< BackendId > &backendPreferences, const IDeviceSpec &deviceSpec, const OptimizerOptions &options=OptimizerOptions(), Optional< std::vector< std::string > &> messages=EmptyOptional())</div><div class="ttdoc">Create an optimized version of the network. </div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l01850">Network.cpp:1850</a></div></div>
<div class="ttc" id="namespacearmnn__driver_xhtml_a31f074135a3dba97d9baf1dffd0a07fd"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a31f074135a3dba97d9baf1dffd0a07fd">armnn_driver::SerializeNetwork</a></div><div class="ttdeci">std::string SerializeNetwork(const armnn::INetwork &network, const std::string &dumpDir, std::vector< uint8_t > &dataCacheData, bool dataCachingActive)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.xhtml#l00427">CanonicalUtils.cpp:427</a></div></div>
<div class="ttc" id="classarmnn__driver_1_1_driver_options_xhtml_a97f3f76fa3f6f6c6438e2e7121415219"><div class="ttname"><a href="classarmnn__driver_1_1_driver_options.xhtml#a97f3f76fa3f6f6c6438e2e7121415219">armnn_driver::DriverOptions::GetClTunedParametersMode</a></div><div class="ttdeci">armnn::IGpuAccTunedParameters::Mode GetClTunedParametersMode() const</div><div class="ttdef"><b>Definition:</b> <a href="_driver_options_8hpp_source.xhtml#l00033">DriverOptions.hpp:33</a></div></div>
<div class="ttc" id="_armnn_driver_impl_8hpp_xhtml"><div class="ttname"><a href="_armnn_driver_impl_8hpp.xhtml">ArmnnDriverImpl.hpp</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="_armnn_prepared_model_8hpp_xhtml"><div class="ttname"><a href="_armnn_prepared_model_8hpp.xhtml">ArmnnPreparedModel.hpp</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a674efcf6cbdb9e831d653ff0e821fb38"><div class="ttname"><a href="namespacearmnn.xhtml#a674efcf6cbdb9e831d653ff0e821fb38">armnn::IOptimizedNetworkPtr</a></div><div class="ttdeci">std::unique_ptr< IOptimizedNetwork, void(*)(IOptimizedNetwork *network)> IOptimizedNetworkPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00254">INetwork.hpp:254</a></div></div>
<div class="ttc" id="structarmnn_1_1_optimizer_options_xhtml_a1b1892da2aaf7eaedaa38671d56b7f19"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.xhtml#a1b1892da2aaf7eaedaa38671d56b7f19">armnn::OptimizerOptions::m_ProfilingEnabled</a></div><div class="ttdeci">bool m_ProfilingEnabled</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00242">INetwork.hpp:242</a></div></div>
<div class="ttc" id="classarmnn__driver_1_1_driver_options_xhtml_a052b5692df75f05d7f0710faca305bb8"><div class="ttname"><a href="classarmnn__driver_1_1_driver_options.xhtml#a052b5692df75f05d7f0710faca305bb8">armnn_driver::DriverOptions::GetRequestInputsAndOutputsDumpDir</a></div><div class="ttdeci">const std::string & GetRequestInputsAndOutputsDumpDir() const</div><div class="ttdef"><b>Definition:</b> <a href="_driver_options_8hpp_source.xhtml#l00028">DriverOptions.hpp:28</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_ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b"><div class="ttname"><a href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::Compute::GpuAcc</a></div><div class="ttdoc">GPU Execution: OpenCL: ArmCompute. </div></div>
<div class="ttc" id="structarmnn_1_1_optimizer_options_xhtml"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.xhtml">armnn::OptimizerOptions</a></div><div class="ttdoc">ArmNN performs an optimization on each model/network before it gets loaded for execution. </div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00127">INetwork.hpp:127</a></div></div>
<div class="ttc" id="classarmnn__driver_1_1_model_to_i_network_transformer_xhtml"><div class="ttname"><a href="classarmnn__driver_1_1_model_to_i_network_transformer.xhtml">armnn_driver::ModelToINetworkTransformer</a></div><div class="ttdef"><b>Definition:</b> <a href="_model_to_i_network_transformer_8hpp_source.xhtml#l00030">ModelToINetworkTransformer.hpp:30</a></div></div>
<div class="ttc" id="classarmnn__driver_1_1_driver_options_xhtml"><div class="ttname"><a href="classarmnn__driver_1_1_driver_options.xhtml">armnn_driver::DriverOptions</a></div><div class="ttdef"><b>Definition:</b> <a href="_driver_options_8hpp_source.xhtml#l00017">DriverOptions.hpp:17</a></div></div>
<div class="ttc" id="classarmnn__driver_1_1_driver_options_xhtml_ab496797d400c4976d0d4b15b110bf7d9"><div class="ttname"><a href="classarmnn__driver_1_1_driver_options.xhtml#ab496797d400c4976d0d4b15b110bf7d9">armnn_driver::DriverOptions::GetNumberOfThreads</a></div><div class="ttdeci">unsigned int GetNumberOfThreads() const</div><div class="ttdef"><b>Definition:</b> <a href="_driver_options_8hpp_source.xhtml#l00043">DriverOptions.hpp:43</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a2d3a708a26ac6d77bf8f15506e89a25a"><div class="ttname"><a href="namespacearmnn.xhtml#a2d3a708a26ac6d77bf8f15506e89a25a">armnn::IGpuAccTunedParametersPtr</a></div><div class="ttdeci">std::shared_ptr< IGpuAccTunedParameters > IGpuAccTunedParametersPtr</div><div class="ttdoc">The following API is replaced by the backend options API. </div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.xhtml#l00307">IRuntime.hpp:307</a></div></div>
<div class="ttc" id="_system_properties_utils_8hpp_xhtml"><div class="ttname"><a href="_system_properties_utils_8hpp.xhtml">SystemPropertiesUtils.hpp</a></div></div>
<div class="ttc" id="structarmnn_1_1_backend_options_xhtml"><div class="ttname"><a href="structarmnn_1_1_backend_options.xhtml">armnn::BackendOptions</a></div><div class="ttdoc">Struct for the users to pass backend specific options. </div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00022">BackendOptions.hpp:22</a></div></div>
<div class="ttc" id="namespacearmnn__driver_xhtml_a5304cf930377fc082e7494d20de2be12"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a5304cf930377fc082e7494d20de2be12">armnn_driver::ExportNetworkGraphToDotFile</a></div><div class="ttdeci">std::string ExportNetworkGraphToDotFile(const armnn::IOptimizedNetwork &optimizedNetwork, const std::string &dumpDir)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.xhtml#l00387">CanonicalUtils.cpp:387</a></div></div>
<div class="ttc" id="_conversion_utils_8hpp_xhtml_abcb5019b10b89cbd2b96118885a026d4"><div class="ttname"><a href="_conversion_utils_8hpp.xhtml#abcb5019b10b89cbd2b96118885a026d4">getMainModel</a></div><div class="ttdeci">const android::nn::Model::Subgraph & getMainModel(const android::nn::Model &model)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.xhtml#l00028">ConversionUtils.hpp:28</a></div></div>
<div class="ttc" id="_i_deserializer_8hpp_xhtml"><div class="ttname"><a href="_i_deserializer_8hpp.xhtml">IDeserializer.hpp</a></div></div>
<div class="ttc" id="classarmnn__driver_1_1_driver_options_xhtml_ad95feca4087d8e42ecacc1950a3d3901"><div class="ttname"><a href="classarmnn__driver_1_1_driver_options.xhtml#ad95feca4087d8e42ecacc1950a3d3901">armnn_driver::DriverOptions::GetBackends</a></div><div class="ttdeci">const std::vector< armnn::BackendId > & GetBackends() const</div><div class="ttdef"><b>Definition:</b> <a href="_driver_options_8hpp_source.xhtml#l00026">DriverOptions.hpp:26</a></div></div>
<div class="ttc" id="_model_to_i_network_transformer_8hpp_xhtml"><div class="ttname"><a href="_model_to_i_network_transformer_8hpp.xhtml">ModelToINetworkTransformer.hpp</a></div></div>
<div class="ttc" id="classarmnn__driver_1_1_driver_options_xhtml_a43799d34e102001274633713c12c0225"><div class="ttname"><a href="classarmnn__driver_1_1_driver_options.xhtml#a43799d34e102001274633713c12c0225">armnn_driver::DriverOptions::IsGpuProfilingEnabled</a></div><div class="ttdeci">bool IsGpuProfilingEnabled() const</div><div class="ttdef"><b>Definition:</b> <a href="_driver_options_8hpp_source.xhtml#l00035">DriverOptions.hpp:35</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ace74f6f9feb95a964a49d79458232703"><div class="ttname"><a href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a></div><div class="ttdeci">std::unique_ptr< INetwork, void(*)(INetwork *network)> INetworkPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00253">INetwork.hpp:253</a></div></div>
<div class="ttc" id="classarmnn__driver_1_1_driver_options_xhtml_aa9b3868fd9a9b9fc4b637e9fa3fa3b5a"><div class="ttname"><a href="classarmnn__driver_1_1_driver_options.xhtml#aa9b3868fd9a9b9fc4b637e9fa3fa3b5a">armnn_driver::DriverOptions::GetCachedNetworkFilePath</a></div><div class="ttdeci">const std::string & GetCachedNetworkFilePath() const</div><div class="ttdef"><b>Definition:</b> <a href="_driver_options_8hpp_source.xhtml#l00041">DriverOptions.hpp:41</a></div></div>
<div class="ttc" id="classarmnn__driver_1_1_driver_options_xhtml_a37570fb994ca42aac33a6a494f63c6c5"><div class="ttname"><a href="classarmnn__driver_1_1_driver_options.xhtml#a37570fb994ca42aac33a6a494f63c6c5">armnn_driver::DriverOptions::GetClTunedParametersFile</a></div><div class="ttdeci">const std::string & GetClTunedParametersFile() const</div><div class="ttdef"><b>Definition:</b> <a href="_driver_options_8hpp_source.xhtml#l00031">DriverOptions.hpp:31</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_gpu_acc_tuned_parameters_xhtml_a46c8a310cf4c094f8c80e1cb8dc1f911ac20468a4ef4b1707d13a1aea2ece6104"><div class="ttname"><a href="classarmnn_1_1_i_gpu_acc_tuned_parameters.xhtml#a46c8a310cf4c094f8c80e1cb8dc1f911ac20468a4ef4b1707d13a1aea2ece6104">armnn::IGpuAccTunedParameters::Mode::UpdateTunedParameters</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="classarmnn__driver_1_1_driver_options_xhtml_a9640684f215321d0d93f6f3cb14d5da1"><div class="ttname"><a href="classarmnn__driver_1_1_driver_options.xhtml#a9640684f215321d0d93f6f3cb14d5da1">armnn_driver::DriverOptions::SaveCachedNetwork</a></div><div class="ttdeci">bool SaveCachedNetwork() const</div><div class="ttdef"><b>Definition:</b> <a href="_driver_options_8hpp_source.xhtml#l00042">DriverOptions.hpp:42</a></div></div>
<div class="ttc" id="classarmnn__driver_1_1_driver_options_xhtml_acb9af28ccca1aac78c52be2baf0bf864"><div class="ttname"><a href="classarmnn__driver_1_1_driver_options.xhtml#acb9af28ccca1aac78c52be2baf0bf864">armnn_driver::DriverOptions::GetClMLGOTunedParametersFile</a></div><div class="ttdeci">const std::string & GetClMLGOTunedParametersFile() const</div><div class="ttdef"><b>Definition:</b> <a href="_driver_options_8hpp_source.xhtml#l00032">DriverOptions.hpp:32</a></div></div>
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